@article {1286, title = {Cytomine: Toward an Open and Collaborative Software Platform for Digital Pathology Bridged to Molecular Investigations.}, journal = {Proteomics Clin Appl}, volume = {13}, year = {2019}, month = {2019 01}, pages = {e1800057}, abstract = {

PURPOSE: Digital histology is being increasingly used in research and clinical applications. In parallel, new tissue imaging methods (e.g., imaging mass spectrometry) are currently regarded as very promising approaches for better molecular diagnosis in pathology. However, these new data sources are still often underexploited because of the lack of collaborative software to share and correlate information for multimodal analysis.

EXPERIMENTAL DESIGN: The open science paradigm is followed to develop new features in the web-based Cytomine software to support next-generation digital pathology bridged to molecular investigations.

RESULTS: New open-source developments allow to explore whole-slide classical histology with Matrix Assisted Laser Desorption Ionisation (MALDI) imaging and to support preprocessing for biomarker discovery using laser microdissection-based microproteomics.

CONCLUSIONS AND CLINICAL RELEVANCE: The updated version of Cytomine is the first open and web-based tool to enable sharing data from classical histology, molecular imaging, and cell counting for proteomics preprocessing. It holds good promise to fulfill imminent needs in molecular histopathology.

}, keywords = {Intersectoral Collaboration, Multimodal Imaging, Pathology, Proteomics, Software, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization}, issn = {1862-8354}, doi = {10.1002/prca.201800057}, author = {Rubens, Ulysse and Hoyoux, Renaud and Vanosmael, Laurent and Ouras, Mehdy and Tasset, Maxime and Hamilton, Christopher and Longuesp{\'e}e, R{\'e}mi and Mar{\'e}e, Rapha{\"e}l} } @article {1230, title = {Data Migration from Operating EMRs to OpenEMR with Mirth Connect.}, journal = {Stud Health Technol Inform}, volume = {257}, year = {2019}, month = {2019}, pages = {288-292}, abstract = {

Electronic medical records (EMR) are integral to the functionality of day to day operations in a clinic. EMRs perform functions like scheduling or hosting medical records used by physicians and other staff [1]. A certain time comes when it is necessary to upgrade or change EMRs to maintain efficiency in a clinic. The most arduous part of changing a clinic{\textquoteright}s EMR is migrating the clinical data from the old EMR to the new. This paper explores the feasibility of data migration between two Electronic Medical Records using open source technologies. This enables smaller clinics to change EMRs when the need arises without incurring huge costs. Using Mirth Connect as a data integration engine and OpenEMR as the new EMR we successfully migrated data from our old EMR to OpenEMR.

}, keywords = {Ambulatory Care Facilities, electronic health records, Humans, Physicians, Software}, issn = {1879-8365}, author = {Lin, Jing and Ranslam, Kyle and Shi, Fang and Figurski, Mike and Liu, Zheng} } @article {1210, title = {Open Source Infrastructure for Health Care Data Integration and Machine Learning Analyses.}, journal = {JCO Clin Cancer Inform}, volume = {3}, year = {2019}, month = {2019 Aug}, pages = {1-16}, abstract = {

PURPOSE: We have created a cloud-based machine learning system (CLOBNET) that is an open-source, lean infrastructure for electronic health record (EHR) data integration and is capable of extract, transform, and load (ETL) processing. CLOBNET enables comprehensive analysis and visualization of structured EHR data. We demonstrate the utility of CLOBNET by predicting primary therapy outcomes of patients with high-grade serous ovarian cancer (HGSOC) on the basis of EHR data.

MATERIALS AND METHODS: CLOBNET is built using open-source software to make data preprocessing, analysis, and model training user friendly. The source code of CLOBNET is available in GitHub. The HGSOC data set was based on a prospective cohort of 208 patients with HGSOC who were treated at Turku University Hospital, Finland, from 2009 to 2019 for whom comprehensive clinical and EHR data were available.

RESULTS: We trained machine learning (ML) models using clinical data, including a herein developed dissemination score that quantifies the disease burden at the time of diagnosis, to identify patients with progressive disease (PD) or a complete response (CR) on the basis of RECIST (version 1.1). The best performance was achieved with a logistic regression model, which resulted in an area under receiver operating characteristic curve (AUROC) of 0.86, with a specificity of 73\% and a sensitivity of 89\%, when it classified between patients who experienced PD and CR.

CONCLUSION: We have developed an open-source computational infrastructure, CLOBNET, that enables effective and rapid analysis of EHR and other clinical data. Our results demonstrate that CLOBNET allows predictions to be made on the basis of EHR data to address clinically relevant questions.

}, issn = {2473-4276}, doi = {10.1200/CCI.18.00132}, author = {Isoviita, Veli-Matti and Salminen, Liina and Azar, Jimmy and Lehtonen, Rainer and Roering, Pia and Carp{\'e}n, Olli and Hietanen, Sakari and Gr{\'e}nman, Seija and Hynninen, Johanna and F{\"a}rkkil{\"a}, Anniina and Hautaniemi, Sampsa} } @article {1228, title = {PatientExploreR: an extensible application for dynamic visualization of patient clinical history from Electronic Health Records in the OMOP Common Data Model Title.}, journal = {Bioinformatics}, year = {2019}, month = {2019 Jun 19}, abstract = {

MOTIVATION: Electronic Health Records (EHR) are quickly becoming omnipresent in healthcare, but interoperability issues and technical demands limit their use for biomedical and clinical research. Interactive and flexible software that interfaces directly with EHR data structured around a common data model could accelerate more EHR-based research by making the data more accessible to researchers who lack computational expertise and/or domain knowledge.

RESULTS: We present PatientExploreR, an extensible application built on the R/Shiny framework that interfaces with a relational database of EHR data in the Observational Medical Outcomes Partnership Common Data Model (CDM) format. PatientExploreR produces patient-level interactive and dynamic reports and facilitates visualization of clinical data without any programming required. It allows researchers to easily construct and export patient cohorts from the EHR for analysis with other software. This application could enable easier exploration of patient-level data for physicians and researchers. PatientExploreR can incorporate EHR data from any institution that employs the CDM for users with approved access. The software code is free and open-source under the MIT license, enabling institutions to install and users to expand and modify the application for their own purposes.

AVAILABILITY: PatientExploreR can be freely obtained from GitHub: https://github.com/BenGlicksberg/PatientExploreR. We provide instructions for how researchers with approved access to their institutional EHR can use this package. We also release an open sandbox server of synthesized patient data for users without EHR access to explore: http://patientexplorer.ucsf.edu.

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btz409}, author = {Glicksberg, Benjamin S and Oskotsky, Boris and Thangaraj, Phyllis M and Giangreco, Nicholas and Badgeley, Marcus A and Johnson, Kipp W and Datta, Debajyoti and Rudrapatna, Vivek and Rappoport, Nadav and Shervey, Mark M and Miotto, Riccardo and Goldstein, Theodore C and Rutenberg, Eugenia and Frazier, Remi and Lee, Nelson and Israni, Sharat and Larsen, Rick and Percha, Bethany and Li, Li and Dudley, Joel T and Tatonetti, Nicholas P and Butte, Atul J} } @article {1221, title = {RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices.}, journal = {JMIR Mhealth Uhealth}, volume = {7}, year = {2019}, month = {2019 08 01}, pages = {e11734}, abstract = {

BACKGROUND: With a wide range of use cases in both research and clinical domains, collecting continuous mobile health (mHealth) streaming data from multiple sources in a secure, highly scalable, and extensible platform is of high interest to the open source mHealth community. The European Union Innovative Medicines Initiative Remote Assessment of Disease and Relapse-Central Nervous System (RADAR-CNS) program is an exemplary project with the requirements to support the collection of high-resolution data at scale; as such, the Remote Assessment of Disease and Relapse (RADAR)-base platform is designed to meet these needs and additionally facilitate a new generation of mHealth projects in this nascent field.

OBJECTIVE: Wide-bandwidth networks, smartphone penetrance, and wearable sensors offer new possibilities for collecting near-real-time high-resolution datasets from large numbers of participants. The aim of this study was to build a platform that would cater for large-scale data collection for remote monitoring initiatives. Key criteria are around scalability, extensibility, security, and privacy.

METHODS: RADAR-base is developed as a modular application; the backend is built on a backbone of the highly successful Confluent/Apache Kafka framework for streaming data. To facilitate scaling and ease of deployment, we use Docker containers to package the components of the platform. RADAR-base provides 2 main mobile apps for data collection, a Passive App and an Active App. Other third-Party Apps and sensors are easily integrated into the platform. Management user interfaces to support data collection and enrolment are also provided.

RESULTS: General principles of the platform components and design of RADAR-base are presented here, with examples of the types of data currently being collected from devices used in RADAR-CNS projects: Multiple Sclerosis, Epilepsy, and Depression cohorts.

CONCLUSIONS: RADAR-base is a fully functional, remote data collection platform built around Confluent/Apache Kafka and provides off-the-shelf components for projects interested in collecting mHealth datasets at scale.

}, issn = {2291-5222}, doi = {10.2196/11734}, author = {Ranjan, Yatharth and Rashid, Zulqarnain and Stewart, Callum and Conde, Pauline and Begale, Mark and Verbeeck, Denny and Boettcher, Sebastian and Dobson, Richard and Folarin, Amos} } @article {1234, title = {Secondary Data Use in Rwanda: Leveraging OpenMRS for Global HIV Research.}, journal = {Stud Health Technol Inform}, volume = {264}, year = {2019}, month = {2019 Aug 21}, pages = {1732}, abstract = {

The Rwandan Ministry of Health supports a countrywide installation of the Open Medical Record System (OpenMRS) to improve clinical recordkeeping and patient care. However, electronic medical records also can be a valuable source of data for observational and experimental studies. We describe the challenges and lessons learned when reusing OpenMRS data in Rwanda for global HIV epidemiology research.

}, keywords = {Biomedical Research, electronic health records, Epidemiologic Studies, HIV, Humans, Rwanda}, issn = {1879-8365}, doi = {10.3233/SHTI190620}, author = {Muhoza, Benjamin and Remera, Eric and Shi, Qiuhu and Kabahizi, Jules and Brazier, Ellen and Sinayobye, Jean d{\textquoteright}Amour and Duda, Stephany N} } @article {1216, title = {Transforming Two Decades of ePR Data to OMOP CDM for Clinical Research.}, journal = {Stud Health Technol Inform}, volume = {264}, year = {2019}, month = {2019 Aug 21}, pages = {233-237}, abstract = {

This paper presents the extract-transform-and-load (ETL) process from the Electronic Patient Records (ePR) at the Heart Institute (InCor) to the OMOP Common Data Model (CDM) format. We describe the initial database characterization, relational source mappings, selection filters, data transformations and patient de-identification using the open-source OHDSI tools and SQL scripts. We evaluate the resulting InCor-CDM database by recreating the same patient cohort from a previous reference study (over the original data source) and comparing the cohorts{\textquoteright} descriptive statistics and inclusion reports. The results exhibit that up to 91\% of the reference patients were retrieved by our method from the ePR through InCor-CDM, with AUC=0.938. The results indicate that the method that we employed was able to produce a new database that was both consistent with the original data and in accordance to the OMOP CDM standard.

}, issn = {1879-8365}, doi = {10.3233/SHTI190218}, author = {Lima, Daniel M and Rodrigues-Jr, Jose F and Traina, Agma J M and Pires, Fabio A and Gutierrez, Marco A} } @article {1232, title = {Using HL7 FHIR to achieve interoperability in patient health record.}, journal = {J Biomed Inform}, volume = {94}, year = {2019}, month = {2019 Jun}, pages = {103188}, abstract = {

The rapid growth and acceptance of Electronic Health Records (EHRs) and standards to exchange EHRs have improved various aspects of health practices and patient care. However, the data captured in an EHR is only accessible to the providers and specialists within an organization, but not the patient. The concept of a Personal Health Record (PHR) is to allow the patients to record and manage their health data beyond EHR and if possible, see the EHR data in the PHR. Experts agree that bi-directional communication between the PHR and EHR allows the PHR to be more effective and a valuable tool for both the providers and patients. Communicating near real-time patient recorded data in PHR with an EHR will allow the provider(s) to make appropriate clinical decisions and patients can see any changes to his/her diagnostics or treatment plans. This research explores and critically analyzes HL7 FHIR to design and prototype an interoperable mobile PHR that conforms to the HL7 PHR Functional Model and allows bi-directional communication with OpenEMR.

}, issn = {1532-0480}, doi = {10.1016/j.jbi.2019.103188}, author = {Saripalle, Rishi and Runyan, Christopher and Russell, Mitchell} } @article {1268, title = {Census-independent population mapping in northern Nigeria.}, journal = {Remote Sens Environ}, volume = {204}, year = {2018}, month = {2018 Jan}, pages = {786-798}, abstract = {

Although remote sensing has long been used to aid in the estimation of population, it has usually been in the context of spatial disaggregation of national census data, with the census counts serving both as observational data for specifying models and as constraints on model outputs. Here we present a framework for estimating populations from the bottom up, entirely independently of national census data, a critical need in areas without recent and reliable census data. To make observations of population density, we replace national census data with a microcensus, in which we enumerate population for a sample of small areas within the states of Kano and Kaduna in northern Nigeria. Using supervised texture-based classifiers with very high resolution satellite imagery, we produce a binary map of human settlement at 8-meter resolution across the two states and then a more refined classification consisting of 7 residential types and 1 non-residential type. Using the residential types and a model linking them to the population density observations, we produce population estimates across the two states in a gridded raster format, at approximately 90-meter resolution. We also demonstrate a simulation framework for capturing uncertainty and presenting estimates as prediction intervals for any region of interest of any size and composition within the study region. Used in concert with previously published demographic estimates, our population estimates allowed for predictions of the population under 5 in ten administrative wards that fit strongly with reference data collected during polio vaccination campaigns.

}, issn = {0034-4257}, doi = {10.1016/j.rse.2017.09.024}, author = {Weber, Eric M and Seaman, Vincent Y and Stewart, Robert N and Bird, Tomas J and Tatem, Andrew J and McKee, Jacob J and Bhaduri, Budhendra L and Moehl, Jessica J and Reith, Andrew E} } @article {1203, title = {The {District} {Health} {Information} {System} ({DHIS}2): {A} literature review and meta-synthesis of its strengths and operational challenges based on the experiences of 11 countries}, journal = {Health Information Management: Journal of the Health Information Management Association of Australia}, year = {2018}, pages = {1833358318777713}, abstract = {BACKGROUND: Health information systems offer many potential benefits for healthcare, including financial benefits and for improving the quality of patient care. The purpose of District Health Information Systems (DHIS) is to document data that are routinely collected in all public health facilities in a country using the system. OBJECTIVE: The aim of this study was to examine the strengths and operational challenges of DHIS2, with a goal to enable decision makers in different counties to more accurately evaluate the outcomes of introducing DHIS2 into their particular country. METHOD: A review of the literature combined with the method of meta-synthesis was used to source information and interpret results relating to the strengths and operational challenges of DHIS2. Databases (Embase, PubMed, Scopus and Google Scholar) were searched for documents related to strengths and operational challenges of DHIS2, with no time limit up to 8 April 2017. The review and evaluation of selected studies was conducted in three stages: title, abstract and full text. Each of the selected studies was reviewed carefully and key concepts extracted. These key concepts were divided into two categories of strengths and operational challenges of DHIS2. Then, each category was grouped based on conceptual similarity to achieve the main themes and sub-themes. Content analysis was used to analyse extracted data. RESULTS: Of 766 identified citations, 20 studies from 11 countries were included and analysed in this study. Identified strengths in the DHIS were represented in seven themes (with 21 categories): technical features of software, proper management of data, application flexibility, networking and increasing the satisfaction of stakeholders, development of data management, increasing access to information and economic benefits. Operational challenges were identified and captured in 11 themes (with 18 categories): funds; appropriate communication infrastructure; the need for the existence of appropriate data; political, cultural, social and structural infrastructure; manpower; senior managers; training; using academic potentials; definition and standardising the deployment processes; neglect to application of criteria and clinical guidelines in the use of system; data security; stakeholder communications challenges and the necessity to establish a pilot system. CONCLUSION: This study highlighted specific strengths in the technical and functional aspects of DHIS2 and also drew attention to particular challenges and concerns. These results provide a sound evidence base for decision makers and policymakers to enable them to make more accurate decisions about whether or not to use the DHIS2 in the health system of their country.}, keywords = {content analysis, District Health Information System, health information system, health information technology, information technology, meta-synthesis, qualitative research}, issn = {1322-4913}, doi = {10.1177/1833358318777713}, author = {Dehnavieh, Reza and Haghdoost, AliAkbar and Khosravi, Ardeshir and Hoseinabadi, Fahime and Rahimi, Hamed and Poursheikhali, Atousa and Khajehpour, Nahid and Khajeh, Zahra and Mirshekari, Nadia and Hasani, Marziyeh and Radmerikhi, Samera and Haghighi, Hajar and Mehrolhassani, Mohammad Hossain and Kazemi, Elaheh and Aghamohamadi, Saeide} } @article {1282, title = {Effect of glycosylated hemoglobin on response to ranibizumab therapy in diabetic macular edema: real-world outcomes in 312 patients.}, journal = {Can J Ophthalmol}, volume = {53}, year = {2018}, month = {2018 08}, pages = {415-419}, abstract = {

OBJECTIVE: To investigate the effect of serum glycosylated hemoglobin (HbA1c) on the outcomes of ranibizumab therapy for diabetic macular edema (DME).

DESIGN: Retrospective cohort study.

PARTICIPANTS: Patients receiving ranibizumab injections for centre-involving DME in a National Health Service setting.

METHODS: The Moorfields OpenEyes database was used to study eyes with DME treated with ranibizumab from October 2013 to November 2015 at the Moorfields City Road, Ealing, Northwick Park, and St George{\textquoteright}s Hospital sites. Only eyes receiving a minimum of 3 injections and completing 12 months of follow-up were included. If both eyes received treatment, the first eye treated was analyzed. When both eyes received initial treatment simultaneously, random number tables were used to select the eye for analysis. HbA1c was tested at the initiation of ranibizumab treatment. Multivariate regression analysis was used to identify relationships between HbA1c and the outcome measures.

OUTCOMES: The primary outcome was change in visual acuity (VA) Early Treatment of Diabetic Retinopathy study (ETDRS) letters. The secondary outcomes were change in central subfield thickness (CSFT) and macular volume (MV), as well as number of injections in year 1.

RESULTS: Three hundred and twelve eyes of 312 patients were included in the analysis. HbA1c was not related to change in VA (p = 0.577), change in CSFT (p = 0.099), change in MV (p = 0.082), or number of injections in year 1 (p = 0.859).

CONCLUSIONS: HbA1c is not related to functional or anatomical outcomes at 1 year in DME treated with ranibizumab.

}, keywords = {Aged, Angiogenesis Inhibitors, Biomarkers, Diabetic Retinopathy, Female, Follow-Up Studies, Glycated Hemoglobin A, Humans, Intravitreal Injections, Macula Lutea, Macular Edema, Male, Middle Aged, Ranibizumab, Retrospective Studies, Tomography, Optical Coherence, Treatment Outcome, Vascular Endothelial Growth Factor A, Visual Acuity}, issn = {1715-3360}, doi = {10.1016/j.jcjo.2017.10.008}, author = {Shalchi, Zaid and Okada, Mali and Bruynseels, Alice and Palethorpe, David and Yusuf, Ammar and Hussain, Rohan and Herrspiegel, Christina and Scazzarriello, Antonio and Habib, Abubakar and Amin, Razia and Rajendram, Ranjan} } @article {1283, title = {How do paper and electronic records compare for completeness? A three centre study.}, journal = {Eye (Lond)}, volume = {32}, year = {2018}, month = {2018 07}, pages = {1232-1236}, abstract = {

OBJECTIVES: Medical records are legal documentation of patients{\textquoteright} care hence must be accurate and complete for both medical and legal purposes. Electronic patient record (EPR) systems aim to improve the accuracy of documentation, provide better organisation and access of data. This study compares the completeness of traditional note records and EPR in glaucoma patients.

METHODS: Using criteria from the April 2009 National Institute for Health and Care Excellence (NICE) guidelines completeness of data entry was compared between EPR and paper notes in three units. Moorfields Eye Hospital (City Road) uses the Openeyes EPR. Bedford Hospital (Moorfields Eye Centre) and Western Eye Hospital use the Medisoft EPR. The standard was set at 100\% compliance for predetermined parameters.

RESULTS: One hundred seventy paper notes and 270 electronic records were analysed. With the exception of central corneal thickness (p = 0.31), all other key parameters were more consistently recorded in the paper records than in the EPR. Intraocular pressure (p = 0.004), anterior chamber configuration and depth assessments using gonioscopy (p < 0.001), fundus examination (p = 0.015), past medical history (p < 0.001), medication including glaucoma medication (p < 0.001) and drug allergies (p < 0.001).

CONCLUSIONS: Our results show that paper records are significantly more complete than EPR. This is the case for two different EPRs and three separate sites. We propose additional training to aid data-collection; improving the design of EPRs by investigating factors such as layout and use of forced choice fields.

}, keywords = {electronic health records, Glaucoma, Humans, Medical Records, Ophthalmology}, issn = {1476-5454}, doi = {10.1038/s41433-018-0065-8}, author = {Wu, Clara Hoi Ka and Luk, Sheila M H and Holder, Richard L and Rodrigues, Zena and Ahmed, Faisal and Murdoch, Ian} } @article {1238, title = {Design and implementation of an affordable, public sector electronic medical record in rural Nepal.}, journal = {J Innov Health Inform}, volume = {24}, year = {2017}, month = {2017 Jun 23}, pages = {862}, abstract = {

INTRODUCTION: Globally, electronic medical records are central to the infrastructure of modern healthcare systems. Yet the vast majority of electronic medical records have been designed for resource-rich environments and are not feasible in settings of poverty. Here we describe the design and implementation of an electronic medical record at a public sector district hospital in rural Nepal, and its subsequent expansion to an additional public sector facility.DevelopmentThe electronic medical record was designed to solve for the following elements of public sector healthcare delivery: 1) integration of the systems across inpatient, surgical, outpatient, emergency, laboratory, radiology, and pharmacy sites of care; 2) effective data extraction for impact evaluation and government regulation; 3) optimization for longitudinal care provision and patient tracking; and 4) effectiveness for quality improvement initiatives.

APPLICATION: For these purposes, we adapted Bahmni, a product built with open-source components for patient tracking, clinical protocols, pharmacy, laboratory, imaging, financial management, and supply logistics. In close partnership with government officials, we deployed the system in February of 2015, added on additional functionality, and iteratively improved the system over the following year. This experience enabled us then to deploy the system at an additional district-level hospital in a different part of the country in under four weeks. We discuss the implementation challenges and the strategies we pursued to build an electronic medical record for the public sector in rural Nepal.DiscussionOver the course of 18 months, we were able to develop, deploy and iterate upon the electronic medical record, and then deploy the refined product at an additional facility within only four weeks. Our experience suggests the feasibility of an integrated electronic medical record for public sector care delivery even in settings of rural poverty.

}, keywords = {Delivery of Health Care, Integrated, electronic health records, Global Health, Health Plan Implementation, Hospitals, Public, Humans, Nepal, Public Sector, Rural Population}, issn = {2058-4563}, doi = {10.14236/jhi.v24i2.862}, author = {Raut, Anant and Yarbrough, Chase and Singh, Vivek and Gauchan, Bikash and Citrin, David and Verma, Varun and Hawley, Jessica and Schwarz, Dan and Harsha Bangura, Alex and Shrestha, Biplav and Schwarz, Ryan and Adhikari, Mukesh and Maru, Duncan} } @article {1236, title = {Development and Deployment of the OpenMRS-Ebola Electronic Health Record System for an Ebola Treatment Center in Sierra Leone.}, journal = {J Med Internet Res}, volume = {19}, year = {2017}, month = {2017 08 21}, pages = {e294}, abstract = {

BACKGROUND: Stringent infection control requirements at Ebola treatment centers (ETCs), which are specialized facilities for isolating and treating Ebola patients, create substantial challenges for recording and reviewing patient information. During the 2014-2016 West African Ebola epidemic, paper-based data collection systems at ETCs compromised the quality, quantity, and confidentiality of patient data. Electronic health record (EHR) systems have the potential to address such problems, with benefits for patient care, surveillance, and research. However, no suitable software was available for deployment when large-scale ETCs opened as the epidemic escalated in 2014.

OBJECTIVE: We present our work on rapidly developing and deploying OpenMRS-Ebola, an EHR system for the Kerry Town ETC in Sierra Leone. We describe our experience, lessons learned, and recommendations for future health emergencies.

METHODS: We used the OpenMRS platform and Agile software development approaches to build OpenMRS-Ebola. Key features of our work included daily communications between the development team and ground-based operations team, iterative processes, and phased development and implementation. We made design decisions based on the restrictions of the ETC environment and regular user feedback. To evaluate the system, we conducted predeployment user questionnaires and compared the EHR records with duplicate paper records.

RESULTS: We successfully built OpenMRS-Ebola, a modular stand-alone EHR system with a tablet-based application for infectious patient wards and a desktop-based application for noninfectious areas. OpenMRS-Ebola supports patient tracking (registration, bed allocation, and discharge); recording of vital signs and symptoms; medication and intravenous fluid ordering and monitoring; laboratory results; clinician notes; and data export. It displays relevant patient information to clinicians in infectious and noninfectious zones. We implemented phase 1 (patient tracking; drug ordering and monitoring) after 2.5 months of full-time development. OpenMRS-Ebola was used for 112 patient registrations, 569 prescription orders, and 971 medication administration recordings. We were unable to fully implement phases 2 and 3 as the ETC closed because of a decrease in new Ebola cases. The phase 1 evaluation suggested that OpenMRS-Ebola worked well in the context of the rollout, and the user feedback was positive.

CONCLUSIONS: To our knowledge, OpenMRS-Ebola is the most comprehensive adaptable clinical EHR built for a low-resource setting health emergency. It is designed to address the main challenges of data collection in highly infectious environments that require robust infection prevention and control measures and it is interoperable with other electronic health systems. Although we built and deployed OpenMRS-Ebola more rapidly than typical software, our work highlights the challenges of having to develop an appropriate system during an emergency rather than being able to rapidly adapt an existing one. Lessons learned from this and previous emergencies should be used to ensure that a set of well-designed, easy-to-use, pretested health software is ready for quick deployment in future.

}, keywords = {electronic health records, Epidemics, Hemorrhagic Fever, Ebola, Humans, Infection Control, Sierra Leone, Telemedicine}, issn = {1438-8871}, doi = {10.2196/jmir.7881}, author = {Oza, Shefali and Jazayeri, Darius and Teich, Jonathan M and Ball, Ellen and Nankubuge, Patricia Alexandra and Rwebembera, Job and Wing, Kevin and Sesay, Alieu Amara and Kanter, Andrew S and Ramos, Glauber D and Walton, David and Cummings, Rachael and Checchi, Francesco and Fraser, Hamish S} } @article {1267, title = {Mapping for Health in Cameroon: Polio Legacy and Beyond.}, journal = {J Infect Dis}, volume = {216}, year = {2017}, month = {2017 07 01}, pages = {S337-S342}, abstract = {

During the poliovirus outbreak in Cameroon from October 2013 to April 2015, the Ministry of Public Health{\textquoteright}s Expanded Program on Immunization requested technical support to improve mapping of health district boundaries and health facility locations for more effective planning and analysis of polio program data. In December 2015, teams collected data on settlements, health facilities, and other features using smartphones. These data, combined with high-resolution satellite imagery, were used to create new health area and health district boundaries, providing the most accurate health sector administrative boundaries to date for Cameroon. The new maps are useful to and used by the polio program as well as other public health programs within Cameroon such as the District Health Information System and the Emergency Operations Center, demonstrating the value of the Global Polio Eradication Initiative{\textquoteright}s legacy.

}, keywords = {Cameroon, Geographic Information Systems, Humans, Immunization Programs, Poliomyelitis, Public Health, Public Health Surveillance, Smartphone}, issn = {1537-6613}, doi = {10.1093/infdis/jix008}, author = {Rosencrans, Louie C and Sume, Gerald E and Kouontchou, Jean-Christian and Voorman, Arend and Anokwa, Yaw and Fezeu, Maurice and Seaman, Vincent Y} } @article {1276, title = {A Mobile-Based Community Health Management Information System for Community Health Workers and Their Supervisors in 2 Districts of Zambia.}, journal = {Glob Health Sci Pract}, volume = {5}, year = {2017}, month = {2017 09 27}, pages = {486-494}, abstract = {

INTRODUCTION: Effective community health management information systems (C-HMIS) are important in low-resource countries that rely heavily on community-based health care providers. Zambia currently lacks a functioning C-HMIS to provide real-time, community-based health information from community health workers (CHWs) to health center staff and higher levels of the health system.

PROGRAM DESCRIPTION: We developed a C-HMIS mobile platform for use by CHWs providing integrated community case management (iCCM) services and their supervisors to address challenges of frequent stock-outs and inadequate supportive supervision of iCCM-trained CHWs. The platform used simple feature mobile phones on which were loaded the District Health Information System version 2 (DHIS2) software and Java 2 platform micro edition (J2ME) aggregation and tracker applications. This project was implemented in Chipata and Chadiza districts, which supported previous mHealth programs and had cellular coverage from all 3 major network carriers in Zambia. A total of 40 CHWs and 20 CHW supervisors received mobile phones with data bundles and training in the mobile application, after which they implemented the program over a period of 5.5 months, from February to mid-July 2016. CHWs used the mobile phones to submit data on iCCM cases seen, managed, and referred, as well as iCCM medical and diagnostic supplies received and dispensed. Using their mobile phones, the supervisors tracked CHWs{\textquoteright} reported cases with medicine consumption, sent CHWs feedback on their referrals, and received SMS reminders to set up mentorship sessions.

OBSERVATIONS: CHWs were able to use the mobile application to send weekly reports to health center supervisors on disease caseloads and medical commodities consumed, to make drug and supply requisitions, and to send pre-referral notices to health centers. Health center staff used the mobile system to provide feedback to CHWs on the case outcomes of referred patients and to receive automated monthly SMS reminders to invite CHWs to the facility for mentorship. District- and central-level staff were able to access community-level health data in real time using passwords.

LESSONS LEARNED: C-HMIS, using simple feature phones, was feasible and viable for the provision of real-time community-based health information to all levels of the health care system in Zambia, but smartphones, laptops, or desktop computers are needed to perform data analysis and visualization. Ongoing technical support is needed to address the hardware and software challenges CHWs face in their day-to-day interaction with the application on their mobile phones.

}, keywords = {Community Health Services, Community Health Workers, Delivery of Health Care, Health information systems, Humans, Mobile Applications, Referral and Consultation, Zambia}, issn = {2169-575X}, doi = {10.9745/GHSP-D-16-00275}, author = {Biemba, Godfrey and Chiluba, Boniface and Yeboah-Antwi, Kojo and Silavwe, Vichaels and Lunze, Karsten and Mwale, Rodgers K and Russpatrick, Scott and Hamer, Davidson H} } @article {1174, title = {A national standards-based assessment on functionality of electronic medical records systems used in {Kenyan} public-{Sector} health facilities}, journal = {International Journal of Medical Informatics}, volume = {97}, year = {2017}, pages = {68{\textendash}75}, abstract = {BACKGROUND: Variations in the functionality, content and form of electronic medical record systems (EMRs) challenge national roll-out of these systems as part of a national strategy to monitor HIV response. To enforce the EMRs minimum requirements for delivery of quality HIV services, the Kenya Ministry of Health (MoH) developed EMRs standards and guidelines. The standards guided the recommendation of EMRs that met a preset threshold for national roll-out. METHODS: Using a standards-based checklist, six review teams formed by the MoH EMRs Technical Working Group rated a total of 17 unique EMRs in 28 heath facilities selected by individual owners for their optimal EMR implementation. EMRs with an aggregate score of >=60\% against checklist criteria were identified by the MoH as suitable for upgrading and rollout to Kenyan public health facilities. RESULTS: In Kenya, existing EMRs scored highly in health information and reporting (mean score=71.8\%), followed by security, system features, core clinical information, and order entry criteria (mean score=58.1\%-55.9\%), and lowest against clinical decision support (mean score=17.6\%) and interoperability criteria (mean score=14.3\%). Four EMRs met the 60.0\% threshold: OpenMRS, IQ-Care, C-PAD and Funsoft. On the basis of the review, the MoH provided EMRs upgrade plans to owners of all the 17 systems reviewed. CONCLUSION: The standards-based review in Kenya represents an effort to determine level of conformance to the EMRs standards and prioritize EMRs for enhancement and rollout. The results support concentrated use of resources towards development of the four recommended EMRs. Further review should be conducted to determine the effect of the EMR-specific upgrade plans on the other 13 EMRs that participated in the review exercise.}, keywords = {Checklist, EMRs, Review, Standards}, issn = {1872-8243}, doi = {10.1016/j.ijmedinf.2016.09.013}, author = {Kang{\textquoteright}a, Samuel and Puttkammer, Nancy and Wanyee, Steven and Kimanga, Davies and Madrano, Jason and Muthee, Veronica and Odawo, Patrick and Sharma, Anjali and Oluoch, Tom and Robinson, Katherine and Kwach, James and Lober, William B.} } @article {1189, title = {Orchestrating differential data access for translational research: a pilot implementation}, journal = {BMC Medical Informatics and Decision Making}, volume = {17}, year = {2017}, month = {2017}, pages = {30}, abstract = {BACKGROUND: Translational researchers need robust IT solutions to access a range of data types, varying from public data sets to pseudonymised patient information with restricted access, provided on a case by case basis. The reason for this complication is that managing access policies to sensitive human data must consider issues of data confidentiality, identifiability, extent of consent, and data usage agreements. All these ethical, social and legal aspects must be incorporated into a differential management of restricted access to sensitive data. METHODS: In this paper we present a pilot system that uses several common open source software components in a novel combination to coordinate access to heterogeneous biomedical data repositories containing open data (open access) as well as sensitive data (restricted access) in the domain of biobanking and biosample research. Our approach is based on a digital identity federation and software to manage resource access entitlements. RESULTS: Open source software components were assembled and configured in such a way that they allow for different ways of restricted access according to the protection needs of the data. We have tested the resulting pilot infrastructure and assessed its performance, feasibility and reproducibility. CONCLUSIONS: Common open source software components are sufficient to allow for the creation of a secure system for differential access to sensitive data. The implementation of this system is exemplary for researchers facing similar requirements for restricted access data. Here we report experience and lessons learnt of our pilot implementation, which may be useful for similar use cases. Furthermore, we discuss possible extensions for more complex scenarios.}, isbn = {1472-6947}, doi = {10.1186/s12911-017-0424-6}, url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363029/}, author = {Brandizi, Marco and Melnichuk, Olga and Bild, Raffael and Kohlmayer, Florian and Rodriguez-Castro, Benedicto and Spengler, Helmut and Kuhn, Klaus A and Kuchinke, Wolfgang and Ohmann, Christian and Mustonen, Timo and Linden, Mikael and Nyr{\"o}nen, Tommi and Lappalainen, Ilkka and Brazma, Alvis and Sarkans, Ugis} } @article {1123, title = {3D for the people: multi-camera motion capture in the field with consumer-grade cameras and open source software.}, journal = {Biol Open}, year = {2016}, month = {2016 Jul 21}, abstract = {

Ecological, behavioral, and biomechanical studies often need to quantify animal movement and behavior in three dimensions. In laboratory studies, a major tool to accomplish these measurements is the use of multiple, calibrated high-speed cameras. Until very recently, the complexity, weight, and cost of such cameras have made their deployment in field situations risky; furthermore, such cameras are not affordable to many researchers. Here we show how inexpensive, consumer-grade cameras can accomplish these measurements both within the laboratory and in the field. Combined with our methods and open source software, the availability of inexpensive, portable and rugged cameras will open up new areas of biological study by providing precise 3D tracking and quantification of animal and human movement to researchers in a wide variety of field and laboratory contexts.

}, issn = {2046-6390}, doi = {10.1242/bio.018713}, author = {Jackson, Brandon E and Evangelista, Dennis J and Ray, Dylan D and Hedrick, Tyson L} } @article {1237, title = {Automating indicator data reporting from health facility EMR to a national aggregate data system in Kenya: An Interoperability field-test using OpenMRS and DHIS2.}, journal = {Online J Public Health Inform}, volume = {8}, year = {2016}, month = {2016}, pages = {e188}, abstract = {

Developing countries are increasingly strengthening national health information systems (HIS) for evidence-based decision-making. However, the inability to report indicator data automatically from electronic medical record systems (EMR) hinders this process. Data are often printed and manually re-entered into aggregate reporting systems. This affects data completeness, accuracy, reporting timeliness, and burdens staff who support routine indicator reporting from patient-level data. After conducting a feasibility test to exchange indicator data from Open Medical Records System (OpenMRS) to District Health Information System version 2 (DHIS2), we conducted a field test at a health facility in Kenya. We configured a field-test DHIS2 instance, similar to the Kenya Ministry of Health (MOH) DHIS2, to receive HIV care and treatment indicator data and the KenyaEMR, a customized version of OpenMRS, to generate and transmit the data from a health facility. After training facility staff how to send data using DHIS2 reporting module, we compared completeness, accuracy and timeliness of automated indicator reporting with facility monthly reports manually entered into MOH DHIS2. All 45 data values in the automated reporting process were 100\% complete and accurate while in manual entry process, data completeness ranged from 66.7\% to 100\% and accuracy ranged from 33.3\% to 95.6\% for seven months (July 2013-January 2014). Manual tally and entry process required at least one person to perform each of the five reporting activities, generating data from EMR and manual entry required at least one person to perform each of the three reporting activities, while automated reporting process had one activity performed by one person. Manual tally and entry observed in October 2013 took 375 minutes. Average time to generate data and manually enter into DHIS2 was over half an hour (M=32.35 mins, SD=0.29) compared to less than a minute for automated submission (M=0.19 mins, SD=0.15). The results indicate that indicator data sent electronically from OpenMRS-based EMR at a health facility to DHIS2 improves data completeness, eliminates transcription errors and delays in reporting, and reduces the reporting burden on human resources. This increases availability of quality indicator data using available resources to facilitate monitoring service delivery and measuring progress towards set goals.

}, issn = {1947-2579}, doi = {10.5210/ojphi.v8i2.6722}, author = {Kariuki, James M and Manders, Eric-Jan and Richards, Janise and Oluoch, Tom and Kimanga, Davies and Wanyee, Steve and Kwach, James O and Santas, Xenophon} } @inbook {1119, title = {BiobankCloud: A Platform for the Secure Storage, Sharing, and Processing of Large Biomedical Data Sets}, booktitle = {Biomedical Data Management and Graph Online Querying: VLDB 2015 Workshops, Big-O(Q) and DMAH, Waikoloa, HI, USA, August 31 {\textendash} September 4, 2015, Revised Selected Papers}, year = {2016}, pages = {89{\textendash}105}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, abstract = {Biobanks store and catalog human biological material that is increasingly being digitized using next-generation sequencing (NGS). There is, however, a computational bottleneck, as existing software systems are not scalable and secure enough to store and process the incoming wave of genomic data from NGS machines. In the BiobankCloud project, we are building a Hadoop-based platform for the secure storage, sharing, and parallel processing of genomic data. We extended Hadoop to include support for multi-tenant studies, reduced storage requirements with erasure coding, and added support for extensible and consistent metadata. On top of Hadoop, we built a scalable scientific workflow engine featuring a proper workflow definition language focusing on simple integration and chaining of existing tools, adaptive scheduling on Apache Yarn, and support for iterative dataflows. Our platform also supports the secure sharing of data across different, distributed Hadoop clusters. The software is easily installed and comes with a user-friendly web interface for running, managing, and accessing data sets behind a secure 2-factor authentication. Initial tests have shown that the engine scales well to dozens of nodes. The entire system is open-source and includes pre-defined workflows for popular tasks in biomedical data analysis, such as variant identification, differential transcriptome analysis using RNA-Seq, and analysis of miRNA-Seq and ChIP-Seq data.}, isbn = {978-3-319-41576-5}, doi = {10.1007/978-3-319-41576-5_7}, url = {http://dx.doi.org/10.1007/978-3-319-41576-5_7}, author = {Bessani, Alysson and Brandt, J{\"o}rgen and Bux, Marc and Cogo, Vinicius and Dimitrova, Lora and Dowling, Jim and Gholami, Ali and Hakimzadeh, Kamal and Hummel, Micheal and Ismail, Mahmoud and Laure, Erwin and Leser, Ulf and Litton, Jan-Eric and Martinez, Roxanna and Niazi, Salman and Reichel, Jane and Zimmermann, Karin}, editor = {Wang, Fusheng and Luo, Gang and Weng, Chunhua and Khan, Arijit and Mitra, Prasenjit and Yu, Cong} } @article {1288, title = {Collaborative analysis of multi-gigapixel imaging data using Cytomine.}, journal = {Bioinformatics}, volume = {32}, year = {2016}, month = {2016 05 01}, pages = {1395-401}, abstract = {

MOTIVATION: Collaborative analysis of massive imaging datasets is essential to enable scientific discoveries.

RESULTS: We developed Cytomine to foster active and distributed collaboration of multidisciplinary teams for large-scale image-based studies. It uses web development methodologies and machine learning in order to readily organize, explore, share and analyze (semantically and quantitatively) multi-gigapixel imaging data over the internet. We illustrate how it has been used in several biomedical applications.

AVAILABILITY AND IMPLEMENTATION: Cytomine (http://www.cytomine.be/) is freely available under an open-source license from http://github.com/cytomine/ A documentation wiki (http://doc.cytomine.be) and a demo server (http://demo.cytomine.be) are also available.

CONTACT: info@cytomine.be

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

}, keywords = {Image Interpretation, Computer-Assisted, Internet, Software, Statistics as Topic}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btw013}, author = {Mar{\'e}e, Rapha{\"e}l and Rollus, Lo{\"\i}c and St{\'e}vens, Benjamin and Hoyoux, Renaud and Louppe, Gilles and Vandaele, R{\'e}my and Begon, Jean-Michel and Kainz, Philipp and Geurts, Pierre and Wehenkel, Louis} } @article {1120, title = {Development of an open-source web-based intervention for Brazilian smokers - Viva sem Tabaco.}, journal = {BMC Med Inform Decis Mak}, volume = {16}, year = {2016}, month = {2016}, pages = {103}, abstract = {

BACKGROUND: Web-based interventions for smoking cessation available in Portuguese do not adhere to evidence-based treatment guidelines. Besides, all existing web-based interventions are built on proprietary platforms that developing countries often cannot afford. We aimed to describe the development of "Viva sem Tabaco", an open-source web-based intervention.

RESULTS: The development of the intervention included the selection of content from evidence-based guidelines for smoking cessation, the design of the first layout, conduction of 2 focus groups to identify potential features, refinement of the layout based on focus groups and correction of content based on feedback provided by specialists on smoking cessation. At the end, we released the source-code and intervention on the Internet and translated it into Spanish and English.

CONCLUSIONS: The intervention developed fills gaps in the information available in Portuguese and the lack of open-source interventions for smoking cessation. The open-source licensing format and its translation system may help researchers from different countries deploying evidence-based interventions for smoking cessation.

}, issn = {1472-6947}, doi = {10.1186/s12911-016-0339-7}, author = {Gomide, H P and Bernardino, H S and Richter, K and Martins, L F and Ronzani, T M} } @article {1136, title = {Full body musculoskeletal model for muscle-driven simulation of human gait.}, journal = {IEEE Trans Biomed Eng}, year = {2016}, month = {2016 Jul 7}, abstract = {

OBJECTIVE: Musculoskeletal models provide a noninvasive means to study human movement and predict the effects of interventions on gait. Our goal was to create an open-source, three-dimensional musculoskeletal model with high-fidelity representations of the lower limb musculature of healthy young individuals that can be used to generate accurate simulations of gait.

METHODS: Our model includes bony geometry for the full body, 37 degrees of freedom to define joint kinematics, Hill-type models of 80 muscle-tendon units actuating the lower limbs, and 17 ideal torque actuators driving the upper body. The model{\textquoteright}s musculotendon parameters are derived from previous anatomical measurements of 21 cadaver specimens and magnetic resonance images of 24 young healthy subjects. We tested the model by evaluating its computational time and accuracy of simulations of healthy walking and running.

RESULTS: Generating muscle-driven simulations of normal walking and running took approximately 10 minutes on a typical desktop computer. The differences between our muscle-generated and inverse dynamics joint moments were within 3\% (RMSE) of the peak inverse dynamics joint moments in both walking and running, and our simulated muscle activity showed qualitative agreement with salient features from experimental electromyography data.

CONCLUSION: These results suggest that our model is suitable for generating muscle-driven simulations of healthy gait. We encourage other researchers to further validate and apply the model to study other motions of the lower-extremity.

SIGNIFICANCE: The model is implemented in the open source software platform OpenSim. The model and data used to create and test the simulations are freely available at https://simtk.org/home/full_body/, allowing others to reproduce these results and create their own simulations.

}, issn = {1558-2531}, doi = {10.1109/TBME.2016.2586891}, author = {Rajagopal, Apoorva and Dembia, Christopher and DeMers, Matthew and Delp, Denny and Hicks, Jennifer and Delp, Scott} } @article {1137, title = {How open science helps researchers succeed.}, journal = {Elife}, volume = {5}, year = {2016}, month = {2016}, abstract = {

Open access, open data, open source and other open scholarship practices are growing in popularity and necessity. However, widespread adoption of these practices has not yet been achieved. One reason is that researchers are uncertain about how sharing their work will affect their careers. We review literature demonstrating that open research is associated with increases in citations, media attention, potential collaborators, job opportunities and funding opportunities. These findings are evidence that open research practices bring significant benefits to researchers relative to more traditional closed practices.

}, issn = {2050-084X}, doi = {10.7554/eLife.16800}, author = {McKiernan, Erin C and Bourne, Philip E and Brown, C Titus and Buck, Stuart and Kenall, Amye and Lin, Jennifer and McDougall, Damon and Nosek, Brian A and Ram, Karthik and Soderberg, Courtney K and Spies, Jeffrey R and Thaney, Kaitlin and Updegrove, Andrew and Woo, Kara H and Yarkoni, Tal} } @article {1133, title = {Integrating Heterogeneous Biomedical Data for Cancer Research: the CARPEM infrastructure.}, journal = {Appl Clin Inform}, volume = {7}, year = {2016}, month = {2016}, pages = {260-74}, abstract = {

Cancer research involves numerous disciplines. The multiplicity of data sources and their heterogeneous nature render the integration and the exploration of the data more and more complex. Translational research platforms are a promising way to assist scientists in these tasks. In this article, we identify a set of scientific and technical principles needed to build a translational research platform compatible with ethical requirements, data protection and data-integration problems. We describe the solution adopted by the CARPEM cancer research program to design and deploy a platform able to integrate retrospective, prospective, and day-to-day care data. We designed a three-layer architecture composed of a data collection layer, a data integration layer and a data access layer. We leverage a set of open-source resources including i2b2 and tranSMART.

}, issn = {1869-0327}, doi = {10.4338/ACI-2015-09-RA-0125}, author = {Rance, Bastien and Canuel, Vincent and Countouris, Hector and Laurent-Puig, Pierre and Burgun, Anita} } @article {1151, title = {A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD).}, journal = {J Am Med Inform Assoc}, year = {2016}, month = {2016 Aug 18}, abstract = {

OBJECTIVE: The goal of this study was to develop a practical framework for recognizing and disambiguating clinical abbreviations, thereby improving current clinical natural language processing (NLP) systems{\textquoteright} capability to handle abbreviations in clinical narratives.

METHODS: We developed an open-source framework for clinical abbreviation recognition and disambiguation (CARD) that leverages our previously developed methods, including: (1) machine learning based approaches to recognize abbreviations from a clinical corpus, (2) clustering-based semiautomated methods to generate possible senses of abbreviations, and (3) profile-based word sense disambiguation methods for clinical abbreviations. We applied CARD to clinical corpora from Vanderbilt University Medical Center (VUMC) and generated 2 comprehensive sense inventories for abbreviations in discharge summaries and clinic visit notes. Furthermore, we developed a wrapper that integrates CARD with MetaMap, a widely used general clinical NLP system.Results and Conclusion CARD detected 27 317 and 107 303 distinct abbreviations from discharge summaries and clinic visit notes, respectively. Two sense inventories were constructed for the 1000 most frequent abbreviations in these 2 corpora. Using the sense inventories created from discharge summaries, CARD achieved an F1 score of 0.755 for identifying and disambiguating all abbreviations in a corpus from the VUMC discharge summaries, which is superior to MetaMap and Apache{\textquoteright}s clinical Text Analysis Knowledge Extraction System (cTAKES). Using additional external corpora, we also demonstrated that the MetaMap-CARD wrapper improved MetaMap{\textquoteright}s performance in recognizing disorder entities in clinical notes. The CARD framework, 2 sense inventories, and the wrapper for MetaMap are publicly available at https://sbmi.uth.edu/ccb/resources/abbreviation.htm We believe the CARD framework can be a valuable resource for improving abbreviation identification in clinical NLP systems.

}, issn = {1527-974X}, doi = {10.1093/jamia/ocw109}, author = {Wu, Yonghui and Denny, Joshua C and Rosenbloom, S Trent and Miller, Randolph A and Giuse, Dario A and Wang, Lulu and Blanquicett, Carmelo and Soysal, Ergin and Xu, Jun and Xu, Hua} } @article {1168, title = {Methods for {Specifying} {Scientific} {Data} {Standards} and {Modeling} {Relationships} with {Applications} to {Neuroscience}}, journal = {Frontiers in Neuroinformatics}, volume = {10}, year = {2016}, pages = {48}, abstract = {Neuroscience continues to experience a tremendous growth in data; in terms of the volume and variety of data, the velocity at which data is acquired, and in turn the veracity of data. These challenges are a serious impediment to sharing of data, analyses, and tools within and across labs. Here, we introduce BRAINformat, a novel data standardization framework for the design and management of scientific data formats. The BRAINformat library defines application-independent design concepts and modules that together create a general framework for standardization of scientific data. We describe the formal specification of scientific data standards, which facilitates sharing and verification of data and formats. We introduce the concept of Managed Objects, enabling semantic components of data formats to be specified as self-contained units, supporting modular and reusable design of data format components and file storage. We also introduce the novel concept of Relationship Attributes for modeling and use of semantic relationships between data objects. Based on these concepts we demonstrate the application of our framework to design and implement a standard format for electrophysiology data and show how data standardization and relationship-modeling facilitate data analysis and sharing. The format uses HDF5, enabling portable, scalable, and self-describing data storage and integration with modern high-performance computing for data-driven discovery. The BRAINformat library is open source, easy-to-use, and provides detailed user and developer documentation and is freely available at: https://bitbucket.org/oruebel/brainformat.}, keywords = {data format specification, electrophysiology, neuroscience, relationship modeling}, doi = {10.3389/fninf.2016.00048}, author = {R{\"u}bel, Oliver and Dougherty, Max and Prabhat, null and Denes, Peter and Conant, David and Chang, Edward F. and Bouchard, Kristofer} } @article {1111, title = {Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks.}, journal = {J Neurophysiol}, year = {2016}, month = {2016 Apr 20}, pages = {jn.00137.2016}, abstract = {

Neurophysiology requires an extensive workflow of information analysis routines, which often includes incompatible proprietary software, introducing limitations based on financial costs, transfer of data between platforms, and the ability to share. An ecosystem of free open-source software exists to fill these gaps, including 1000{\textquoteright}s of analysis and plotting packages written in Python and R, which can be implemented in a sharable and reproducible format, such as the Jupyter electronic notebook. This tool chain can largely replace current routines by importing data, producing analyses, and generating publication quality graphics. An electronic notebook, like Jupyter, allows these analyses, along with documentation of procedures, to display locally or remotely in an internet browser, which can be saved as an HTML, PDF, or other file format for sharing with team members and the scientific community. The current report illustrates these methods using data from electrophysiological recordings of the musk shrew vagus - a model system to investigate gut-brain communication, for example, cancer chemotherapy-induced emesis. We show methods for spike sorting (including statistical validation), spike train analysis, and analysis of compound action potentials in notebooks. Raw data and code are available from notebooks in Data Supplements or from an executable online version, which replicates all analyses without installing software - an implementation of reproducible research. This demonstrates the promise of combining disparate analyses into one platform, along with the ease of sharing this work. In an age of diverse, high-throughput computational workflows, this methodology can increase efficiency, transparency, and the collaborative potential of neurophysiological research.

}, issn = {1522-1598}, doi = {10.1152/jn.00137.2016}, author = {Rosenberg, David M and Horn, Charles C} } @article {1170, title = {Open {Source} {Drug} {Discovery}: {Highly} {Potent} {Antimalarial} {Compounds} {Derived} from the {Tres} {Cantos} {Arylpyrroles}}, journal = {ACS central science}, volume = {2}, year = {2016}, pages = {687{\textendash}701}, abstract = {The development of new antimalarial compounds remains a pivotal part of the strategy for malaria elimination. Recent large-scale phenotypic screens have provided a wealth of potential starting points for hit-to-lead campaigns. One such public set is explored, employing an open source research mechanism in which all data and ideas were shared in real time, anyone was able to participate, and patents were not sought. One chemical subseries was found to exhibit oral activity but contained a labile ester that could not be replaced without loss of activity, and the original hit exhibited remarkable sensitivity to minor structural change. A second subseries displayed high potency, including activity within gametocyte and liver stage assays, but at the cost of low solubility. As an open source research project, unexplored avenues are clearly identified and may be explored further by the community; new findings may be cumulatively added to the present work.}, issn = {2374-7943}, doi = {10.1021/acscentsci.6b00086}, author = {Williamson, Alice E. and Ylioja, Paul M. and Robertson, Murray N. and Antonova-Koch, Yevgeniya and Avery, Vicky and Baell, Jonathan B. and Batchu, Harikrishna and Batra, Sanjay and Burrows, Jeremy N. and Bhattacharyya, Soumya and Calderon, Felix and Charman, Susan A. and Clark, Julie and Crespo, Benigno and Dean, Matin and Debbert, Stefan L. and Delves, Michael and Dennis, Adelaide S. M. and Deroose, Frederik and Duffy, Sandra and Fletcher, Sabine and Giaever, Guri and Hallyburton, Irene and Gamo, Francisco-Javier and Gebbia, Marinella and Guy, R. Kiplin and Hungerford, Zoe and Kirk, Kiaran and Lafuente-Monasterio, Maria J. and Lee, Anna and Meister, Stephan and Nislow, Corey and Overington, John P. and Papadatos, George and Patiny, Luc and Pham, James and Ralph, Stuart A. and Ruecker, Andrea and Ryan, Eileen and Southan, Christopher and Srivastava, Kumkum and Swain, Chris and Tarnowski, Matthew J. and Thomson, Patrick and Turner, Peter and Wallace, Iain M. and Wells, Timothy N. C. and White, Karen and White, Laura and Willis, Paul and Winzeler, Elizabeth A. and Wittlin, Sergio and Todd, Matthew H.} } @article {1121, title = {Open Source Drug Discovery with the Malaria Box Compound Collection for Neglected Diseases and Beyond.}, journal = {PLoS Pathog}, volume = {12}, year = {2016}, month = {2016 Jul}, pages = {e1005763}, abstract = {

A major cause of the paucity of new starting points for drug discovery is the lack of interaction between academia and industry. Much of the global resource in biology is present in universities, whereas the focus of medicinal chemistry is still largely within industry. Open source drug discovery, with sharing of information, is clearly a first step towards overcoming this gap. But the interface could especially be bridged through a scale-up of open sharing of physical compounds, which would accelerate the finding of new starting points for drug discovery. The Medicines for Malaria Venture Malaria Box is a collection of over 400 compounds representing families of structures identified in phenotypic screens of pharmaceutical and academic libraries against the Plasmodium falciparum malaria parasite. The set has now been distributed to almost 200 research groups globally in the last two years, with the only stipulation that information from the screens is deposited in the public domain. This paper reports for the first time on 236 screens that have been carried out against the Malaria Box and compares these results with 55 assays that were previously published, in a format that allows a meta-analysis of the combined dataset. The combined biochemical and cellular assays presented here suggest mechanisms of action for 135 (34\%) of the compounds active in killing multiple life-cycle stages of the malaria parasite, including asexual blood, liver, gametocyte, gametes and insect ookinete stages. In addition, many compounds demonstrated activity against other pathogens, showing hits in assays with 16 protozoa, 7 helminths, 9 bacterial and mycobacterial species, the dengue fever mosquito vector, and the NCI60 human cancer cell line panel of 60 human tumor cell lines. Toxicological, pharmacokinetic and metabolic properties were collected on all the compounds, assisting in the selection of the most promising candidates for murine proof-of-concept experiments and medicinal chemistry programs. The data for all of these assays are presented and analyzed to show how outstanding leads for many indications can be selected. These results reveal the immense potential for translating the dispersed expertise in biological assays involving human pathogens into drug discovery starting points, by providing open access to new families of molecules, and emphasize how a small additional investment made to help acquire and distribute compounds, and sharing the data, can catalyze drug discovery for dozens of different indications. Another lesson is that when multiple screens from different groups are run on the same library, results can be integrated quickly to select the most valuable starting points for subsequent medicinal chemistry efforts.

}, issn = {1553-7374}, doi = {10.1371/journal.ppat.1005763}, author = {Van Voorhis, Wesley C and Adams, John H and Adelfio, Roberto and Ahyong, Vida and Akabas, Myles H and Alano, Pietro and Alday, Aintzane and Alem{\'a}n Resto, Yesmalie and Alsibaee, Aishah and Alzualde, Ainhoa and Andrews, Katherine T and Avery, Simon V and Avery, Vicky M and Ayong, Lawrence and Baker, Mark and Baker, Stephen and Ben Mamoun, Choukri and Bhatia, Sangeeta and Bickle, Quentin and Bounaadja, Lotfi and Bowling, Tana and Bosch, J{\"u}rgen and Boucher, Lauren E and Boyom, Fabrice F and Brea, Jose and Brennan, Marian and Burton, Audrey and Caffrey, Conor R and Camarda, Grazia and Carrasquilla, Manuela and Carter, Dee and Belen Cassera, Maria and Chih-Chien Cheng, Ken and Chindaudomsate, Worathad and Chubb, Anthony and Colon, Beatrice L and Col{\'o}n-L{\'o}pez, Daisy D and Corbett, Yolanda and Crowther, Gregory J and Cowan, Noemi and D{\textquoteright}Alessandro, Sarah and Le Dang, Na and Delves, Michael and DeRisi, Joseph L and Du, Alan Y and Duffy, Sandra and Abd El-Salam El-Sayed, Shimaa and Ferdig, Michael T and Fern{\'a}ndez Robledo, Jos{\'e} A and Fidock, David A and Florent, Isabelle and Fokou, Patrick V T and Galstian, Ani and Gamo, Francisco Javier and Gokool, Suzanne and Gold, Ben and Golub, Todd and Goldgof, Gregory M and Guha, Rajarshi and Guiguemde, W Armand and Gural, Nil and Guy, R Kiplin and Hansen, Michael A E and Hanson, Kirsten K and Hemphill, Andrew and Hooft van Huijsduijnen, Rob and Horii, Takaaki and Horrocks, Paul and Hughes, Tyler B and Huston, Christopher and Igarashi, Ikuo and Ingram-Sieber, Katrin and Itoe, Maurice A and Jadhav, Ajit and Naranuntarat Jensen, Amornrat and Jensen, Laran T and Jiang, Rays H Y and Kaiser, Annette and Keiser, Jennifer and Ketas, Thomas and Kicka, Sebastien and Kim, Sunyoung and Kirk, Kiaran and Kumar, Vidya P and Kyle, Dennis E and Lafuente, Maria Jose and Landfear, Scott and Lee, Nathan and Lee, Sukjun and Lehane, Adele M and Li, Fengwu and Little, David and Liu, Liqiong and Llin{\'a}s, Manuel and Loza, Maria I and Lubar, Aristea and Lucantoni, Leonardo and Lucet, Isabelle and Maes, Louis and Mancama, Dalu and Mansour, Nuha R and March, Sandra and McGowan, Sheena and Medina Vera, Iset and Meister, Stephan and Mercer, Luke and Mestres, Jordi and Mfopa, Alvine N and Misra, Raj N and Moon, Seunghyun and Moore, John P and Morais Rodrigues da Costa, Francielly and M{\"u}ller, Joachim and Muriana, Arantza and Nakazawa Hewitt, Stephen and Nare, Bakela and Nathan, Carl and Narraidoo, Nathalie and Nawaratna, Sujeevi and Ojo, Kayode K and Ortiz, Diana and Panic, Gordana and Papadatos, George and Parapini, Silvia and Patra, Kailash and Pham, Ngoc and Prats, Sarah and Plouffe, David M and Poulsen, Sally-Ann and Pradhan, Anupam and Quevedo, Celia and Quinn, Ronald J and Rice, Christopher A and Abdo Rizk, Mohamed and Ruecker, Andrea and St Onge, Robert and Salgado Ferreira, Rafaela and Samra, Jasmeet and Robinett, Natalie G and Schlecht, Ulrich and Schmitt, Marjorie and Silva Villela, Filipe and Silvestrini, Francesco and Sinden, Robert and Smith, Dennis A and Soldati, Thierry and Spitzm{\"u}ller, Andreas and Stamm, Serge Maximilian and Sullivan, David J and Sullivan, William and Suresh, Sundari and Suzuki, Brian M and Suzuki, Yo and Swamidass, S Joshua and Taramelli, Donatella and Tchokouaha, Lauve R Y and Theron, Anjo and Thomas, David and Tonissen, Kathryn F and Townson, Simon and Tripathi, Abhai K and Trofimov, Valentin and Udenze, Kenneth O and Ullah, Imran and Vallieres, Cindy and Vigil, Edgar and Vinetz, Joseph M and Voong Vinh, Phat and Vu, Hoan and Watanabe, Nao-Aki and Weatherby, Kate and White, Pamela M and Wilks, Andrew F and Winzeler, Elizabeth A and Wojcik, Edward and Wree, Melanie and Wu, Wesley and Yokoyama, Naoaki and Zollo, Paul H A and Abla, Nada and Blasco, Benjamin and Burrows, Jeremy and Laleu, Beno{\^\i}t and Leroy, Didier and Spangenberg, Thomas and Wells, Timothy and Willis, Paul A} } @article {1138, title = {Open source posturography.}, journal = {Acta Otolaryngol}, year = {2016}, month = {2016 Jul 6}, pages = {1-5}, abstract = {

CONCLUSION: The proposed validation goal of 0.9 in intra-class correlation coefficient was reached with the results of this study. With the obtained results we consider that the developed software (RombergLab) is a validated balance assessment software. The reliability of this software is dependent of the used force platform technical specifications.

OBJECTIVE: Develop and validate a posturography software and share its source code in open source terms.

METHODS: Prospective non-randomized validation study: 20 consecutive adults underwent two balance assessment tests, six condition posturography was performed using a clinical approved software and force platform and the same conditions were measured using the new developed open source software using a low cost force platform. Intra-class correlation index of the sway area obtained from the center of pressure variations in both devices for the six conditions was the main variable used for validation.

RESULTS: Excellent concordance between RombergLab and clinical approved force platform was obtained (intra-class correlation coefficient =0.94). A Bland and Altman graphic concordance plot was also obtained. The source code used to develop RombergLab was published in open source terms.

}, issn = {1651-2251}, doi = {10.1080/00016489.2016.1204665}, author = {Rey-Martinez, Jorge and P{\'e}rez-Fern{\'a}ndez, Nicol{\'a}s} } @article {1122, title = {PACS for Bhutan: a cost effective open source architecture for emerging countries.}, journal = {Insights Imaging}, year = {2016}, month = {2016 Jul 28}, abstract = {

This paper reports the design and implementation of an innovative and cost-effective imaging management infrastructure suitable for radiology centres in emerging countries. It was implemented in the main referring hospital of Bhutan equipped with a CT, an MRI, digital radiology, and a suite of several ultrasound units. They lacked the necessary informatics infrastructure for image archiving and interpretation and needed a system for distribution of images to clinical wards. The solution developed for this project combines several open source software platforms in a robust and versatile archiving and communication system connected to analysis workstations equipped with a FDA-certified version of the highly popular Open-Source software. The whole system was implemented on standard off-the-shelf hardware. The system was installed in three~days, and training of the radiologists as well as the technical and IT staff was provided onsite to ensure full ownership of the system by the local team. Radiologists were rapidly capable of reading and interpreting studies on the diagnostic workstations, which had a significant benefit on their workflow and ability to perform diagnostic tasks more efficiently. Furthermore, images were also made available to several clinical units on standard desktop computers through a web-based viewer.

MESSAGES/TEACHING POINTS: {\textbullet} Open source imaging informatics platforms can provide cost-effective alternatives for PACS {\textbullet} Robust and cost-effective open architecture can provide adequate solutions for emerging countries {\textbullet} Imaging informatics is often lacking in hospitals equipped with digital modalities.

}, issn = {1869-4101}, doi = {10.1007/s13244-016-0512-7}, author = {Ratib, Osman and Roduit, Nicolas and Nidup, Dechen and De Geer, Gerard and Rosset, Antoine and Geissbuhler, Antoine} } @article {1164, title = {Process control charts in infection prevention: {Make} it simple to make it happen}, journal = {American Journal of Infection Control}, year = {2016}, abstract = {BACKGROUND: Quality improvement is central to Infection Prevention and Control (IPC) programs. Challenges may occur when applying quality improvement methodologies like process control charts, often due to the limited exposure of typical IPs. Because of this, our team created an open-source database with a process control chart generator for IPC programs. The objectives of this report are to outline the development of the application and demonstrate application using simulated data. METHODS: We used Research Electronic Data Capture (REDCap Consortium, Vanderbilt University, Nashville, TN), R (R Foundation for Statistical Computing, Vienna, Austria), and R Studio Shiny (R Foundation for Statistical Computing) to create an open source data collection system with automated process control chart generation. We used simulated data to test and visualize both in-control and out-of-control processes for commonly used metrics in IPC programs. RESULTS: The R code for implementing the control charts and Shiny application can be found on our Web site (https://github.com/ul-research-support/spcapp). Screen captures of the workflow and simulated data indicating both common cause and special cause variation are provided. CONCLUSIONS: Process control charts can be easily developed based on individual facility needs using freely available software. Through providing our work free to all interested parties, we hope that others will be able to harness the power and ease of use of the application for improving the quality of care and patient safety in their facilities.}, keywords = {Health care-associated infection, Quality Improvement, Surveillance}, issn = {1527-3296}, doi = {10.1016/j.ajic.2016.09.021}, author = {Wiemken, Timothy L. and Furmanek, Stephen P. and Carrico, Ruth M. and Mattingly, William A. and Persaud, Annuradha K. and Guinn, Brian E. and Kelley, Robert R. and Ramirez, Julio A.} } @article {1158, title = {{SCIFIO}: an extensible framework to support scientific image formats}, journal = {BMC bioinformatics}, volume = {17}, year = {2016}, pages = {521}, abstract = {BACKGROUND: No gold standard exists in the world of scientific image acquisition; a proliferation of instruments each with its own proprietary data format has made out-of-the-box sharing of that data nearly impossible. In the field of light microscopy, the Bio-Formats library was designed to translate such proprietary data formats to a common, open-source schema, enabling sharing and reproduction of scientific results. While Bio-Formats has proved successful for microscopy images, the greater scientific community was lacking a domain-independent framework for format translation. RESULTS: SCIFIO (SCientific Image Format Input and Output) is presented as a freely available, open-source library unifying the mechanisms of reading and writing image data. The core of SCIFIO is its modular definition of formats, the design of which clearly outlines the components of image I/O to encourage extensibility, facilitated by the dynamic discovery of the SciJava plugin framework. SCIFIO is structured to support coexistence of multiple domain-specific open exchange formats, such as Bio-Formats{\textquoteright} OME-TIFF, within a unified environment. CONCLUSIONS: SCIFIO is a freely available software library developed to standardize the process of reading and writing scientific image formats.}, keywords = {Bio-Formats, Image analysis, ImageJ, open-source, SCIFIO}, issn = {1471-2105}, doi = {10.1186/s12859-016-1383-0}, author = {Hiner, Mark C. and Rueden, Curtis T. and Eliceiri, Kevin W.} } @article {1112, title = {TACIT: An open-source text analysis, crawling, and interpretation tool.}, journal = {Behav Res Methods}, year = {2016}, month = {2016 Mar 4}, abstract = {

As human activity and interaction increasingly take place online, the digital residues of these activities provide a valuable window into a range of psychological and social processes. A great deal of progress has been made toward utilizing these opportunities; however, the complexity of managing and analyzing the quantities of data currently available has limited both the types of analysis used and the number of researchers able to make use of these data. Although fields such as computer science have developed a range of techniques and methods for handling these difficulties, making use of those tools has often required specialized knowledge and programming experience. The Text Analysis, Crawling, and Interpretation Tool (TACIT) is designed to bridge this gap by providing an intuitive tool and interface for making use of state-of-the-art methods in text analysis and large-scale data management. Furthermore, TACIT is implemented as an open, extensible, plugin-driven architecture, which will allow other researchers to extend and expand these capabilities as new methods become available.

}, issn = {1554-3528}, doi = {10.3758/s13428-016-0722-4}, author = {Dehghani, Morteza and Johnson, Kate M and Garten, Justin and Boghrati, Reihane and Hoover, Joe and Balasubramanian, Vijayan and Singh, Anurag and Shankar, Yuvarani and Pulickal, Linda and Rajkumar, Aswin and Parmar, Niki Jitendra} } @article {1008, title = {Design and development of an EMR for Ebola Treatment Centers in Sierra Leone using OpenMRS.}, journal = {Stud Health Technol Inform}, volume = {216}, year = {2015}, month = {2015}, pages = {916}, abstract = {

Ebola treatment presents unique challenges for medical records because strict infection control requirements rule out most conventional record-keeping systems. We used the OpenMRS platform to rapidly develop an EMR system for the recently opened Kerry Town, Sierra Leone Ebola Treatment Centre. This system addresses the need for recording patient data and communicating it between the infectious and non-infectious zones, and is specifically designed for maximum usability by staff wearing cumbersome protective equipment. This platform is interoperable with other key eHealth systems in the country, and is extensible to other sites and diseases.

}, issn = {0926-9630}, author = {Jazayeri, Darius and Oza, Shefali and Ramos, Glauber and Fraser, Hamish and Teich, Jonathan M and Kanter, Andrew S and Ball, Ellen} } @article {978, title = {DICOM for Clinical Research: PACS-Integrated Electronic Data Capture in Multi-Center Trials.}, journal = {J Digit Imaging}, year = {2015}, month = {2015 May 23}, abstract = {

Providing surrogate endpoints in clinical trials, medical imaging has become increasingly important in human-centered research. Nowadays, electronic data capture systems (EDCS) are used but binary image data is integrated insufficiently. There exists no structured way, neither to manage digital imaging and communications in medicine (DICOM) data in EDCS nor to interconnect EDCS with picture archiving and communication systems (PACS). Manual detours in the trial workflow yield errors, delays, and costs. In this paper, requirements for a DICOM-based system interconnection of EDCS and research PACS are analysed. Several workflow architectures are compared. Optimized for multi-center trials, we propose an entirely web-based solution integrating EDCS, PACS, and DICOM viewer, which has been implemented using the open source projects OpenClinica, DCM4CHEE, and Weasis, respectively. The EDCS forms the primary access point. EDCS to PACS interchange is integrated seamlessly on the data and the context levels. DICOM data is viewed directly from the electronic case report form (eCRF), while PACS-based management is hidden from the user. Data privacy is ensured by automatic de-identification and re-labelling with study identifiers. Our concept is evaluated on a variety of 13 DICOM modalities and transfer syntaxes. We have implemented the system in an ongoing investigator-initiated trial (IIT), where five centers have recruited 24 patients so far, performing decentralized computed tomography (CT) screening. Using our system, the chief radiologist is reading DICOM data directly from the eCRF. Errors and workflow processing time are reduced. Furthermore, an imaging database is built that may support future research.

}, issn = {1618-727X}, doi = {10.1007/s10278-015-9802-8}, author = {Haak, Daniel and Page, Charles-E and Reinartz, Sebastian and Kr{\"u}ger, Thilo and Deserno, Thomas M} } @article {1030, title = {Do interoperable national information systems enhance availability of data to assess the effect of scale-up of HIV services on health workforce deployment in resource-limited countries?}, journal = {Stud Health Technol Inform}, volume = {216}, year = {2015}, month = {2015}, pages = {677-81}, abstract = {

Sub-Saharan Africa (SSA) bears the heaviest burden of the HIV epidemic. Health workers play a critical role in the scale-up of HIV programs. SSA also has the weakest information and communication technology (ICT) infrastructure globally. Implementing interoperable national health information systems (HIS) is a challenge, even in developed countries. Countries in resource-limited settings have yet to demonstrate that interoperable systems can be achieved, and can improve quality of healthcare through enhanced data availability and use in the deployment of the health workforce. We established interoperable HIS integrating a Master Facility List (MFL), District Health Information Software (DHIS2), and Human Resources Information Systems (HRIS) through application programmers interfaces (API). We abstracted data on HIV care, health workers deployment, and health facilities geo-coordinates. Over 95\% of data elements were exchanged between the MFL-DHIS and HRIS-DHIS. The correlation between the number of HIV-positive clients and nurses and clinical officers in 2013 was R2=0.251 and R2=0.261 respectively. Wrong MFL codes, data type mis-match and hyphens in legacy data were key causes of data transmission errors. Lack of information exchange standards for aggregate data made programming time-consuming.

}, issn = {0926-9630}, author = {Oluoch, Tom and Muturi, David and Kiriinya, Rose and Waruru, Anthony and Lanyo, Kevin and Nguni, Robert and Ojwang, James and Waters, Keith P and Richards, Janise} } @article {970, title = {The ImageJ ecosystem: An open platform for biomedical image analysis.}, journal = {Mol Reprod Dev}, year = {2015}, month = {2015 Jul 7}, abstract = {

Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which necessitates correspondingly more-advanced image processing and analysis techniques. A wide range of software is available-from commercial to academic, special-purpose to Swiss army knife, small to large-but a key characteristic of software that is suitable for scientific inquiry is its accessibility. Open-source software is ideal for scientific endeavors because it can be freely inspected, modified, and redistributed; in particular, the open-software platform ImageJ has had a huge impact on the life sciences, and continues to do so. From its inception, ImageJ has grown significantly due largely to being freely available and its vibrant and helpful user community. Scientists as diverse as interested hobbyists, technical assistants, students, scientific staff, and advanced biology researchers use ImageJ on a daily basis, and exchange knowledge via its dedicated mailing list. Uses of ImageJ range from data visualization and teaching to advanced image processing and statistical analysis. The software{\textquoteright}s extensibility continues to attract biologists at all career stages as well as computer scientists who wish to effectively implement specific image-processing algorithms. In this review, we use the ImageJ project as a case study of how open-source software fosters its suites of software tools, making multitudes of image-analysis technology easily accessible to the scientific community. We specifically explore what makes ImageJ so popular, how it impacts the life sciences, how it inspires other projects, and how it is self-influenced by coevolving projects within the ImageJ ecosystem. Mol. Reprod. Dev. 2015. {\textcopyright} 2015 Wiley Periodicals, Inc.

}, issn = {1098-2795}, doi = {10.1002/mrd.22489}, author = {Schindelin, Johannes and Rueden, Curtis T and Hiner, Mark C and Eliceiri, Kevin W} } @article {984, title = {An open source business model for malaria.}, journal = {PLoS One}, volume = {10}, year = {2015}, month = {2015}, pages = {e0117150}, abstract = {

Greater investment is required in developing new drugs and vaccines against malaria in order to eradicate malaria. These precious funds must be carefully managed to achieve the greatest impact. We evaluate existing efforts to discover and develop new drugs and vaccines for malaria to determine how best malaria R\&D can benefit from an enhanced open source approach and how such a business model may operate. We assess research articles, patents, clinical trials and conducted a smaller survey among malaria researchers. Our results demonstrate that the public and philanthropic sectors are financing and performing the majority of malaria drug/vaccine discovery and development, but are then restricting access through patents, {\textquoteright}closed{\textquoteright} publications and hidden away physical specimens. This makes little sense since it is also the public and philanthropic sector that purchases the drugs and vaccines. We recommend that a more "open source" approach is taken by making the entire value chain more efficient through greater transparency which may lead to more extensive collaborations. This can, for example, be achieved by empowering an existing organization like the Medicines for Malaria Venture (MMV) to act as a clearing house for malaria-related data. The malaria researchers that we surveyed indicated that they would utilize such registry data to increase collaboration. Finally, we question the utility of publicly or philanthropically funded patents for malaria medicines, where little to no profits are available. Malaria R\&D benefits from a publicly and philanthropically funded architecture, which starts with academic research institutions, product development partnerships, commercialization assistance through UNITAID and finally procurement through mechanisms like The Global Fund to Fight AIDS, Tuberculosis and Malaria and the U.S.{\textquoteright} President{\textquoteright}s Malaria Initiative. We believe that a fresh look should be taken at the cost/benefit of patents particularly related to new malaria medicines and consider alternative incentives, like WHO prequalification.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0117150}, author = {{\r A}rdal, Christine and R{\o}ttingen, John-Arne} } @article {1098, title = {Open-source health information technology: A case study of electronic medical records}, journal = {Health Policy and Technology}, volume = {4}, year = {2015}, pages = {14{\textendash}28}, author = {Safadi, Hani and Chan, David and Dawes, Martin and Roper, Mark and Faraj, Samer} } @article {1005, title = {A Standards-Based Architecture Proposal for Integrating Patient mHealth Apps to Electronic Health Record Systems.}, journal = {Appl Clin Inform}, volume = {6}, year = {2015}, month = {2015}, pages = {488-505}, abstract = {

BACKGROUND: Mobile health Applications (mHealth Apps) are opening the way to patients{\textquoteright} responsible and active involvement with their own healthcare management. However, apart from Apps allowing patient{\textquoteright}s access to their electronic health records (EHRs), mHealth Apps are currently developed as dedicated "island systems".

OBJECTIVE: Although much work has been done on patient{\textquoteright}s access to EHRs, transfer of information from mHealth Apps to EHR systems is still low. This study proposes a standards-based architecture that can be adopted by mHealth Apps to exchange information with EHRs to support better quality of care.

METHODS: Following the definition of requirements for the EHR/mHealth App information exchange recently proposed, and after reviewing current standards, we designed the architecture for EHR/mHealth App integration. Then, as a case study, we modeled a system based on the proposed architecture aimed to support home monitoring for congestive heart failure patients. We simulated such process using, on the EHR side, OpenMRS, an open source longitudinal EHR and, on the mHealth App side, the iOS platform.

RESULTS: The integration architecture was based on the bi-directional exchange of standard documents (clinical document architecture rel2 - CDA2). In the process, the clinician "prescribes" the home monitoring procedures by creating a CDA2 prescription in the EHR that is sent, encrypted and de-identified, to the mHealth App to create the monitoring calendar. At the scheduled time, the App alerts the patient to start the monitoring. After the measurements are done, the App generates a structured CDA2-compliant monitoring report and sends it to the EHR, thus avoiding local storage.

CONCLUSIONS: The proposed architecture, even if validated only in a simulation environment, represents a step forward in the integration of personal mHealth Apps into the larger health-IT ecosystem, allowing the bi-directional data exchange between patients and healthcare professionals, supporting the patient{\textquoteright}s engagement in self-management and self-care.

}, issn = {1869-0327}, doi = {10.4338/ACI-2014-12-RA-0115}, author = {Marceglia, S and Fontelo, P and Rossi, E and Ackerman, M J} } @article {986, title = {Taking advantage of continuity of care documents to populate a research repository.}, journal = {J Am Med Inform Assoc}, volume = {22}, year = {2015}, month = {2015 Mar}, pages = {370-9}, abstract = {

OBJECTIVE: Clinical data warehouses have accelerated clinical research, but even with available open source tools, there is a high barrier to entry due to the complexity of normalizing and importing data. The Office of the National Coordinator for Health Information Technology{\textquoteright}s Meaningful Use Incentive Program now requires that electronic health record systems produce standardized consolidated clinical document architecture (C-CDA) documents. Here, we leverage this data source to create a low volume standards based import pipeline for the Informatics for Integrating Biology and the Bedside (i2b2) clinical research platform. We validate this approach by creating a small repository at Partners Healthcare automatically from C-CDA documents.

MATERIALS AND METHODS: We designed an i2b2 extension to import C-CDAs into i2b2. It is extensible to other sites with variances in C-CDA format without requiring custom code. We also designed new ontology structures for querying the imported data.

RESULTS: We implemented our methodology at Partners Healthcare, where we developed an adapter to retrieve C-CDAs from Enterprise Services. Our current implementation supports demographics, encounters, problems, and medications. We imported approximately 17 000 clinical observations on 145 patients into i2b2 in about 24 min. We were able to perform i2b2 cohort finding queries and view patient information through SMART apps on the imported data.

DISCUSSION: This low volume import approach can serve small practices with local access to C-CDAs and will allow patient registries to import patient supplied C-CDAs. These components will soon be available open source on the i2b2 wiki.

CONCLUSIONS: Our approach will lower barriers to entry in implementing i2b2 where informatics expertise or data access are limited.

}, keywords = {Biomedical Research, Continuity of Patient Care, Database Management Systems, Databases as Topic, Humans, Information Storage and Retrieval, Meaningful Use, Systems Integration}, issn = {1527-974X}, doi = {10.1136/amiajnl-2014-003040}, author = {Klann, Jeffrey G and Mendis, Michael and Phillips, Lori C and Goodson, Alyssa P and Rocha, Beatriz H and Goldberg, Howard S and Wattanasin, Nich and Murphy, Shawn N} } @article {1052, title = {Translational research platforms integrating clinical and omics data: a review of publicly available solutions.}, journal = {Brief Bioinform}, volume = {16}, year = {2015}, month = {2015 Mar}, pages = {280-90}, abstract = {

The rise of personalized medicine and the availability of high-throughput molecular analyses in the context of clinical care have increased the need for adequate tools for translational researchers to manage and explore these data. We reviewed the biomedical literature for translational platforms allowing the management and exploration of clinical and omics data, and identified seven platforms: BRISK, caTRIP, cBio Cancer Portal, G-DOC, iCOD, iDASH and tranSMART. We analyzed these platforms along seven major axes. (1) The community axis regrouped information regarding initiators and funders of the project, as well as availability status and references. (2) We regrouped under the information content axis the nature of the clinical and omics data handled by each system. (3) The privacy management environment axis encompassed functionalities allowing control over data privacy. (4) In the analysis support axis, we detailed the analytical and statistical tools provided by the platforms. We also explored (5) interoperability support and (6) system requirements. The final axis (7) platform support listed the availability of documentation and installation procedures. A large heterogeneity was observed in regard to the capability to manage phenotype information in addition to omics data, their security and interoperability features. The analytical and visualization features strongly depend on the considered platform. Similarly, the availability of the systems is variable. This review aims at providing the reader with the background to choose the platform best suited to their needs. To conclude, we discuss the desiderata for optimal translational research platforms, in terms of privacy, interoperability and technical features.

}, issn = {1477-4054}, doi = {10.1093/bib/bbu006}, author = {Canuel, Vincent and Rance, Bastien and Avillach, Paul and Degoulet, Patrice and Burgun, Anita} } @article {941, title = {Computational Pathology and Telepathology: SY05-1 TELECYTOLOGY TC AND TELEPATHOLOGY TP IN UNDERSERVED COUNTRIES TOY OR TOOL?}, journal = {Pathology}, volume = {46 Suppl 2}, year = {2014}, month = {2014 Oct}, pages = {S7}, abstract = {

BACKGROUND: Pathologic anatomic practice is an essential part of medical practice even in low-income countries. It is an extraordinarily helpful tool in finding therapeutic decisions, monitoring therapeutic processes and in academic teaching students and residents in understanding aetiology and morphology of infectious and neoplastic diseases. However, all countries worldwide are suffering from a shortage of experienced surgical pathologists providing an adequate service to the clinics. Training pathologists is a time-consuming procedure and it takes more than one decade. Therefore new techniques have to be utilized to overcome the gap of human resources in medical fields in these countries. Telepathology and telecytology may be effective tools to transfer both knowledge and experience to any place in the world with simple technical equipment using the Internet. We evaluate the benefit of TP and TC on three projects, with different educational levels of the local pathologists.

MATERIAL AND APPROACH: In 2002 Cambodian pathologists started off with telepathology using iPath Network as an open-source system. Up to now more than 5600 cases have been submitted to experts. In 2007 a Tanzanian hospital started telepathology and solved more than 3600 cases. In 2010 an Afghan group of medical experts started using TP and submitted more than 1600 cases. The latest 100 cases of each group were analysed with respect to (1) the organs concerned; (2) the diagnostic techniques used such as histology vs cytology; (3) complexity of the diagnostic question; (4) information quality and quantity; (5) diagnostic concordance between primary diagnosis and the experts opinion; and (6) diagnostic accuracy of the experts diagnoses in order to evaluate the benefit of the projects.

RESULTS AND CONCLUSION: Telepathology services are ranging from a triage of diagnostic assessment of benign vs malignant to academic-scientific services including teaching and research facilities. Breast pathology is predominant in Afghanistan, whereas cervix pathology is the leading issue in Tanzania, and in Cambodia soft tissue/bone pathology plays the major role. In more than 50\% cytology was applied in Afghanistan and only 10\% and 5\% in Cambodia and Tanzania respectively. The complexity of diagnostic questions differs from Cambodia using TP for confirmation in most cases, to Tanzania and Afghanistan using TP mostly for primary diagnosis. Diagnostic concordance depending on both the experience of local pathologists and the technical facilities of the laboratory was high in Cambodia, followed by Tanzania and Afghanistan. Diagnostic accuracy corresponding with the quantity and quality of information followed the same pattern. The success of TP projects can be measured by the number of TP sessions and by the sustainability of projects. Our TP/TC projects in those countries with limited resources are effective tools in improving medical health care.

}, keywords = {iPath, open source software, telepathology}, issn = {1465-3931}, doi = {10.1097/01.PAT.0000454068.32934.09}, author = {Stauch, Gerhard and Miringa, Angelica and Raoufi, Rokai and Vathana, Cchut Serey and Hetzmann, Sophia and Hinsch, Nora and Dalquen, Peter and Voelker, Ullrich and Kunze, Dietmar} } @article {1023, title = {A framework for integration of heterogeneous medical imaging networks.}, journal = {Open Med Inform J}, volume = {8}, year = {2014}, month = {2014}, pages = {20-32}, abstract = {

Medical imaging is increasing its importance in matters of medical diagnosis and in treatment support. Much is due to computers that have revolutionized medical imaging not only in acquisition process but also in the way it is visualized, stored, exchanged and managed. Picture Archiving and Communication Systems (PACS) is an example of how medical imaging takes advantage of computers. To solve problems of interoperability of PACS and medical imaging equipment, the Digital Imaging and Communications in Medicine (DICOM) standard was defined and widely implemented in current solutions. More recently, the need to exchange medical data between distinct institutions resulted in Integrating the Healthcare Enterprise (IHE) initiative that contains a content profile especially conceived for medical imaging exchange: Cross Enterprise Document Sharing for imaging (XDS-i). Moreover, due to application requirements, many solutions developed private networks to support their services. For instance, some applications support enhanced query and retrieve over DICOM objects metadata. This paper proposes anintegration framework to medical imaging networks that provides protocols interoperability and data federation services. It is an extensible plugin system that supports standard approaches (DICOM and XDS-I), but is also capable of supporting private protocols. The framework is being used in the Dicoogle Open Source PACS.

}, issn = {1874-4311}, doi = {10.2174/1874431101408010020}, author = {Viana-Ferreira, Carlos and Ribeiro, Lu{\'\i}s S and Costa, Carlos} } @article {931, title = {Managing multicentre clinical trials with open source.}, journal = {Inform Health Soc Care}, volume = {39}, year = {2014}, month = {2014 Mar}, pages = {67-80}, abstract = {

Background: Multicentre clinical trials are challenged by high administrative burden, data management pitfalls and costs. This leads to a reduced enthusiasm and commitment of the physicians involved and thus to a reluctance in conducting multicentre clinical trials. Objective: The purpose of this study was to develop a web-based open source platform to support a multi-centre clinical trial. Methods: We developed on Drupal, an open source software distributed under the terms of the General Public License, a web-based, multi-centre clinical trial management system with the design science research approach. Results: This system was evaluated by user-testing and well supported several completed and on-going clinical trials and is available for free download. Conclusion: Open source clinical trial management systems are capable in supporting multi-centre clinical trials by enhancing efficiency, quality of data management and collaboration.

}, issn = {1753-8165}, doi = {10.3109/17538157.2013.812647}, author = {Raptis, Dimitri Aristotle and Mettler, Tobias and Fischer, Michael Alexander and Patak, Michael and Lesurtel, Mickael and Eshmuminov, Dilmurodjon and de Rougemont, Olivier and Graf, Rolf and Clavien, Pierre-Alain and Breitenstein, Stefan} } @article {1009, title = {AccessMRS: integrating OpenMRS with smart forms on Android.}, journal = {Stud Health Technol Inform}, volume = {192}, year = {2013}, month = {2013}, pages = {866-70}, abstract = {

We present a new open-source Android application, AccessMRS, for interfacing with an electronic medical record system (OpenMRS) and loading {\textquoteright}Smart Forms{\textquoteright} on a mobile device. AccessMRS functions as a patient-centered interface for viewing OpenMRS data; managing patient information in reminders, task lists, and previous encounters; and launching patient-specific {\textquoteright}Smart Forms{\textquoteright} for electronic data collection and dissemination of health information. We present AccessMRS in the context of related software applications we developed to serve Community Health Workers, including AccessInfo, AccessAdmin, AccessMaps, and AccessForms. The specific features and design of AccessMRS are detailed in relationship to the requirements that drove development: the workflows of the Kenyan Ministry of Health Community Health Volunteers (CHVs) supported by the AMPATH Primary Health Care Program. Specifically, AccessMRS was designed to improve the quality of community-based Maternal and Child Health services delivered by CHVs in Kosirai Division. AccessMRS is currently in use by more than 80 CHVs in Kenya and undergoing formal assessment of acceptability, effectiveness, and cost.

}, keywords = {electronic health records, Forms and Records Control, Information Storage and Retrieval, Medical Record Linkage, Mobile Applications, Programming Languages, Software Design, Systems Integration, User-Computer Interface}, issn = {0926-9630}, author = {Fazen, Louis E and Chemwolo, Benjamin T and Songok, Julia J and Ruhl, Laura J and Kipkoech, Carolyne and Green, James M and Ikemeri, Justus E and Christoffersen-Deb, Astrid} } @article {860, title = {A case study of private{\textendash}public collaboration for humanitarian free and open source disaster management software deployment}, journal = {Decision Support Systems}, volume = {55}, year = {2013}, pages = {1 - 11}, abstract = {Abstract Free and open source software (FOSS) has been increasingly adopted for humanitarian purpose worldwide, yet the factors for successful deployment of humanitarian \{FOSS\} in a disaster situation remain largely unexplored. Drawing upon the Technology{\textendash}Organization{\textendash}Environment (TOE) framework, this study identifies the key issues in collaborative deployment of \{FOSS\} for humanitarian relief operations. The research further elaborates the key research issues by adopting a case study approach in which qualitative data were gathered from key informants from both private and public sectors. The results suggest that task{\textendash}technology fit, expertise management, and inter-organizational relationship management play critical roles in humanitarian \{FOSS\} deployment.}, keywords = {Private{\textendash}public partnership}, issn = {0167-9236}, doi = {http://dx.doi.org/10.1016/j.dss.2012.10.030}, url = {http://www.sciencedirect.com/science/article/pii/S0167923612002850}, author = {Jessica P. Li and Rui Chen and JinKyu Lee and H. Raghav Rao} } @article {892, title = {Integration of advanced 3D SPECT modeling into the open-source STIR framework}, journal = {Medical Physics}, volume = {40}, year = {2013}, pages = {092502}, keywords = {C++ language, image reconstruction, medical image processing, object-oriented programming, public domain software, single photon emission computed tomography, software libraries, software packages}, doi = {10.1118/1.4816676}, url = {http://link.aip.org/link/?MPH/40/092502/1}, author = {Berta Marti Fuster and Carles Falcon and Charalampos Tsoumpas and Lefteris Livieratos and Pablo Aguiar and Albert Cot and Domenec Ros and Kris Thielemans} } @article {933, title = {International data-sharing for radiotherapy research: An open-source based infrastructure for multicentric clinical data mining.}, journal = {Radiother Oncol}, year = {2013}, month = {2013 Dec 2}, abstract = {

Extensive, multifactorial data sharing is a crucial prerequisite for current and future (radiotherapy) research. However, the cost, time and effort to achieve this are often a roadblock. We present an open-source based data-sharing infrastructure between two radiotherapy departments, allowing seamless exchange of de-identified, automatically translated clinical and biomedical treatment data.

}, issn = {1879-0887}, doi = {10.1016/j.radonc.2013.11.001}, author = {Roelofs, Erik and Dekker, Andr{\'e} and Meldolesi, Elisa and van Stiphout, Ruud G P M and Valentini, Vincenzo and Lambin, Philippe} } @article {894, title = {Novel open-source electronic medical records system for palliative care in low-resource settings.}, journal = {BMC Palliat Care}, volume = {12}, year = {2013}, month = {2013}, pages = {31}, abstract = {

BACKGROUND: The need for palliative care in sub-Saharan Africa is staggering: this region shoulders over 67\% of the global burden of HIV/AIDS and cancer. However, provisions for these essential services remain limited and poorly integrated with national health systems in most nations. Moreover, the evidence base for palliative care in the region remains scarce. This study chronicles the development and evaluation of DataPall, an open-source electronic medical records system that can be used to track patients, manage data, and generate reports for palliative care providers in these settings.DataPall was developed using design criteria encompassing both functional and technical objectives articulated by hospital leaders and palliative care staff at a leading palliative care center in Malawi. The database can be used with computers that run Windows XP SP 2 or newer, and does not require an internet connection for use. Subsequent to its development and implementation in two hospitals, DataPall was tested among both trained and untrained hospital staff populations on the basis of its usability with comparison to existing paper records systems as well as on the speed at which users could perform basic database functions. Additionally, all participants evaluated this program on a standard system usability scale.

RESULTS: In a study of health professionals in a Malawian hospital, DataPall enabled palliative care providers to find patients{\textquoteright} appointments, on average, in less than half the time required to locate the same record in current paper records. Moreover, participants generated customizable reports documenting patient records and comprehensive reports on providers{\textquoteright} activities with little training necessary. Participants affirmed this ease of use on the system usability scale.

CONCLUSIONS: DataPall is a simple, effective electronic medical records system that can assist in developing an evidence base of clinical data for palliative care in low resource settings. The system is available at no cost, is specifically designed to chronicle care in the region, and is catered to meet the technical needs and user specifications of such facilities.

}, issn = {1472-684X}, doi = {10.1186/1472-684X-12-31}, author = {Shah, Kamal G and Slough, Tara Lyn and Yeh, Ping Teresa and Gombwa, Suave and Kiromera, Athanase and Oden, Z Maria and Richards-Kortum, Rebecca R} } @article {875, title = {Three-dimensional volumetric rendition of cannon ball pulmonary metastases by the use of 3D Slicer, an open source free software package.}, journal = {BMJ Case Rep}, volume = {2013}, year = {2013}, month = {2013}, issn = {1757-790X}, doi = {10.1136/bcr-2012-008248}, author = {Revannasiddaiah, Swaroop and Susheela, Sridhar Papaiah and Madhusudhan, N and Mallarajapatna, Govindarajan J} } @article {776, title = {Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: The SHARPn project.}, journal = {J Biomed Inform}, year = {2012}, month = {2012 Feb 4}, abstract = {The Strategic Health IT Advanced Research Projects (SHARP) Program, established by the Office of the National Coordinator for Health Information Technology in 2010 supports research findings that remove barriers for increased adoption of health IT. The improvements envisioned by the SHARP Area 4 Consortium (SHARPn) will enable the use of the electronic health record (EHR) for secondary purposes, such as care process and outcomes improvement, biomedical research and epidemiologic monitoring of the nation{\textquoteright}s health. One of the primary informatics problem areas in this endeavor is the standardization of disparate health data from the nation{\textquoteright}s many health care organizations and providers. The SHARPn team is developing open source services and components to support the ubiquitous exchange, sharing and reuse or {\textquoteright}liquidity{\textquoteright} of operational clinical data stored in electronic health records. One year into the design and development of the SHARPn framework, we demonstrated end to end data flow and a prototype SHARPn platform, using thousands of patient electronic records sourced from two large healthcare organizations: Mayo Clinic and Intermountain Healthcare. The platform was deployed to (1) receive source EHR data in several formats, (2) generate structured data from EHR narrative text, and (3) normalize the EHR data using common detailed clinical models and Consolidated Health Informatics standard terminologies, which were (4) accessed by a phenotyping service using normalized data specifications. The architecture of this prototype SHARPn platform is presented. The EHR data throughput demonstration showed success in normalizing native EHR data, both structured and narrative, from two independent organizations and EHR systems. Based on the demonstration, observed challenges for standardization of EHR data for interoperable secondary use are discussed.}, issn = {1532-0480}, doi = {10.1016/j.jbi.2012.01.009}, author = {Rea, Susan and Pathak, Jyotishman and Savova, Guergana and Oniki, Thomas A and Westberg, Les and Beebe, Calvin E and Tao, Cui and Parker, Craig G and Haug, Peter J and Huff, Stanley M and Chute, Christopher G} } @inbook {792, title = {Development of a Laparoscopic Surgical Training System with Simulation Open Framework Architecture (SOFA)}, booktitle = {Computer Aided Surgery}, series = {Proceedings in Information and Communications Technology}, volume = {3}, year = {2012}, pages = {83-91}, publisher = {Springer Japan}, organization = {Springer Japan}, abstract = {With a number of advantages over traditional laparotomy, laparoscopic surgery is a successful minimally invasive surgical procedure. However, laparoscopy demands high surgical skill. For efficient and safe training, virtual surgery simulation systems have been developed recently. In this paper, we describe the development of a laparoscopic surgery training system using Simulation Open Framework Architecture (SOFA). The simulation software was integrated with a two-hand haptic device specially developed for laparoscopic surgical training. As an example, we focused on the simulation of gallbladder removal surgery using laparoscopic instruments. Gallbladder removal was successfully simulated by the proposed methods. We expect this training system to be similarly successful in simulating a number of other surgical procedures.}, isbn = {978-4-431-54094-6}, url = {http://dx.doi.org/10.1007/978-4-431-54094-6_10}, author = {Kim, Youngjun and Kim, Kyunghwan and Roy, Fr{\'e}d{\'e}rick and Park, Sehyung}, editor = {Dohi, Takeyoshi and Liao, Hongen} } @article {905, title = {Informatics in radiology: An open-source and open-access cancer Biomedical Informatics Grid Annotation and Image Markup Template Builder}, journal = {Radiographics}, volume = {32}, year = {2012}, pages = {1223{\textendash}1232}, abstract = {In a routine clinical environment or clinical trial, a case report form or structured reporting template can be used to quickly generate uniform and consistent reports. Annotation and Image Markup (AIM), a project supported by the National Cancer Institute{\textquoteright}s cancer Biomedical Informatics Grid, can be used to collect information for a case report form or structured reporting template. AIM is designed to store, in a single information source, (a) the description of pixel data with use of markups or graphical drawings placed on the image, (b) calculation results (which may or may not be directly related to the markups), and (c) supplemental information. To facilitate the creation of AIM annotations with data entry templates, an AIM template schema and an open-source template creation application were developed to assist clinicians, image researchers, and designers of clinical trials to quickly create a set of data collection items, thereby ultimately making image information more readily accessible. {\textcopyright} RSNA, 2012.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84863860787\&partnerID=40\&md5=154429b57f255f957ea8a13055866456}, author = {Mongkolwat, P.a and Channin, D.S.b and Kleper, V.a and Rubin, D.L.c} } @conference {838, title = {Interactive Electromechanical Model of the Heart for Patient-Specific Therapy Planning and Training using SOFA}, booktitle = {VPH 2012}, year = {2012}, address = {Londres, United Kingdom}, abstract = {The contributions of this work are twofold. First, we developed an electrophysiological training simulator in SOFA which tackles the interactive issue in the context of cardiac arrhythmias. Coupled with this electrophysiology, we developed a mechanical model of the heart that can be personalized from MRI datasets. Our simulations are based on the SOFA platform. SOFA is an open-source framework targeted at real-time simulation with an emphasis on medical simulation, mainly developed at Inria. A large choice of efficient solvers, hyperelastic or viscous material laws are already implemented in SOFA. Moreover, it enables interactivity during the simulation (pacing, surgery planning, ...) and gives a good trade-off between accuracy and computational efficiency.}, url = {http://hal.inria.fr/hal-00751537}, author = {Talbot, Hugo and Marchesseau, St{\'e}phanie and Duriez, Christian and Courtecuisse, Hadrien and Relan, Jatin and Sermesant, Maxime and Cotin, St{\'e}phane and Delingette, Herv{\'e}} } @article {820, title = {MITK Diffusion Imaging.}, journal = {Methods Inf Med}, volume = {51}, year = {2012}, month = {2012 Oct 11}, pages = {441-8}, abstract = {Background: Diffusion-MRI provides a unique window on brain anatomy and insights into aspects of tissue structure in living humans that could not be studied previously. There is a major effort in this rapidly evolving field of research to develop the algorithmic tools necessary to cope with the complexity of the datasets. Objectives: This work illustrates our strategy that encompasses the development of a modularized and open software tool for data processing, visualization and interactive exploration in diffusion imaging research and aims at reinforcing sustainable evaluation and progress in the field. Methods: In this paper, the usability and capabilities of a new application and toolkit component of the Medical Imaging and Interaction Toolkit (MITK, www.mitk.org), MITK-DI, are demonstrated using in-vivo datasets. Results: MITK-DI provides a comprehensive software framework for high-performance data processing, analysis and interactive data exploration, which is designed in a modular, extensible fashion (using CTK) and in adherence to widely accepted coding standards (e.g. ITK, VTK). MITK-DI is available both as an open source software development toolkit and as a ready-to-use installable application. Conclusions: The open source release of the modular MITK-DI tools will increase verifiability and comparability within the research community and will also be an important step towards bringing many of the current techniques towards clinical application.}, issn = {0026-1270}, doi = {10.3414/ME11-02-0031}, author = {Fritzsche, K H and Neher, P F and Reicht, I and van Bruggen, T and Goch, C and Reisert, M and Nolden, M and Zelzer, S and Meinzer, H-P and Stieltjes, B} } @conference {785, title = {MITK global tractography}, booktitle = {Medical Imaging 2012: Image Processing}, year = {2012}, publisher = {SPIE}, organization = {SPIE}, abstract = {Fiber tracking algorithms yield valuable information for neurosurgery as well as automated diagnostic approaches. However, they have not yet arrived in the daily clinical practice. In this paper we present an open source integration of the global tractography algorithm proposed by Reisert et.al.1 into the open source Medical Imaging Interaction Toolkit (MITK) developed and maintained by the Division of Medical and Biological Informatics at the German Cancer Research Center (DKFZ). The integration of this algorithm into a standardized and open development environment like MITK enriches accessibility of tractography algorithms for the science community and is an important step towards bringing neuronal tractography closer to a clinical application. The MITK diffusion imaging application, downloadable from www.mitk.org, combines all the steps necessary for a successful tractography: preprocessing, reconstruction of the images, the actual tracking, live monitoring of intermediate results, postprocessing and visualization of the final tracking results. This paper presents typical tracking results and demonstrates the steps for pre- and post-processing of the images.}, doi = {10.1117/12.911215}, url = {http://link.aip.org/link/?PSI/8314/83144D/1}, author = {Peter F. Neher and Bram Stieltjes and Marco Reisert and Ignaz Reicht and Meinzer, Hans-Peter and Klaus H. Fritzsche}, editor = {David R. Haynor and Sebastien Ourselin} } @article {791, title = {Navigated laparoscopy - liver shift and deformation due to pneumoperitoneum in an animal model.}, journal = {Minim Invasive Ther Allied Technol}, volume = {21}, year = {2012}, month = {2012 May}, pages = {241-8}, abstract = {Abstract Background: Precise laparoscopic liver resection requires accurate planning and visualization of important anatomy such as vessels and tumors. Combining laparoscopic ultrasound with navigation technology could provide this. Preoperative images are valuable for planning and overview of the procedure, while intraoperative images provide an updated view of the surgical field. Purpose: To validate the accuracy of navigation technology based on preoperative images, we need to understand how much the liver shifts and deforms due to heartbeat, breathing, surgical manipulation and pneumoperitoneum. In this study, we evaluated liver tumor shift and deformation due to pneumoperitoneum in an animal model. Methods: Tumor models were injected into the liver of the animal, and 3D CT images were acquired before and after insufflation. Tumor shifts and deformation were determined. Results: The results showed significant tumor position shift due to pneumoperitoneum, with a maximum of 28 mm in cranio-caudal direction. No significant tumor deformation was detected. Small standard deviations suggest rigid body transformation of the liver as a whole, but this needs further investigation. Conclusion: The findings indicate a need for anatomic shift correction of preoperative images before they are used in combination with LUS guidance during a laparoscopic liver resection procedure.}, issn = {1365-2931}, doi = {10.3109/13645706.2012.665805}, author = {Zijlmans, Mariken and Lang{\o}, Thomas and Hofstad, Erlend Fagertun and Van Swol, Christiaan F P and Rethy, Anna} } @article {1050, title = {S2DIA: a diagnostic system for Diabetes mellitus using SANA platform.}, journal = {Conf Proc IEEE Eng Med Biol Soc}, volume = {2012}, year = {2012}, month = {2012}, pages = {6078-81}, abstract = {

Currently, Diabetes is a very common disease around the world, and with an increase in sedentary lifestyles, obesity and an aging population the number of people with Diabetes worldwide will increase by more than 50\%. In this context, the MIT (Massachusetts Institute of Technology) developed the SANA platform, which brings the benefits of information technology to the field of healthcare. It offers healthcare delivery in remote areas, improves patient access to medical specialists for faster, higher quality, and more cost effective diagnosis and intervention. For these reasons, we developed a system for diagnosis of Diabetes using the SANA platform, called S2DIA. It is the first step towards knowing the risks for type 2 Diabetes, and it will be evaluated, especially, in remote/poor areas of Brazil.

}, keywords = {Diabetes Mellitus, Type 2, Diagnosis, Computer-Assisted, Humans, Risk Factors}, issn = {1557-170X}, doi = {10.1109/EMBC.2012.6347380}, author = {Costa, Clayton M and Gondim, Dikson D and Gondim, Dibson D and Soares, Heliana B and Ribeiro, Anna G C D and Silva, Ikaro and Winkler, Erick and Celi, Leo and Guerreiro, Ana M G and Leite, Cic{\'\i}lia R M} } @article {788, title = {The SMART Platform: early experience enabling substitutable applications for electronic health records.}, journal = {J Am Med Inform Assoc}, year = {2012}, month = {2012 Mar 17}, abstract = {ObjectiveThe Substitutable Medical Applications, Reusable Technologies (SMART) Platforms project seeks to develop a health information technology platform with substitutable applications (apps) constructed around core services. The authors believe this is a promising approach to driving down healthcare costs, supporting standards evolution, accommodating differences in care workflow, fostering competition in the market, and accelerating innovation.Materials and methodsThe Office of the National Coordinator for Health Information Technology, through the Strategic Health IT Advanced Research Projects (SHARP) Program, funds the project. The SMART team has focused on enabling the property of substitutability through an app programming interface leveraging web standards, presenting predictable data payloads, and abstracting away many details of enterprise health information technology systems. Containers-health information technology systems, such as electronic health records (EHR), personally controlled health records, and health information exchanges that use the SMART app programming interface or a portion of it-marshal data sources and present data simply, reliably, and consistently to apps.ResultsThe SMART team has completed the first phase of the project (a) defining an app programming interface, (b) developing containers, and (c) producing a set of charter apps that showcase the system capabilities. A focal point of this phase was the SMART Apps Challenge, publicized by the White House, using http://www.challenge.gov website, and generating 15 app submissions with diverse functionality.ConclusionKey strategic decisions must be made about the most effective market for further disseminating SMART: existing market-leading EHR vendors, new entrants into the EHR market, or other stakeholders such as health information exchanges.}, issn = {1527-974X}, doi = {10.1136/amiajnl-2011-000622}, author = {Mandl, Kenneth D and Mandel, Joshua C and Murphy, Shawn N and Bernstam, Elmer Victor and Ramoni, Rachel L and Kreda, David A and McCoy, J Michael and Adida, Ben and Kohane, Isaac S.} } @article {790, title = {Standardized volumetric 3D-analysis of SPECT/CT imaging in orthopaedics: overcoming the limitations of qualitative 2D analysis.}, journal = {BMC Med Imaging}, volume = {12}, year = {2012}, month = {2012}, pages = {5}, abstract = {UNLABELLED: ABSTRACT: BACKGROUND: SPECT/CT combines high resolution anatomical 3D computerized tomography (CT) and single photon emission computerized tomography (SPECT) as functional imaging, which provides 3D information about biological processes into a single imaging modality. The clinical utility of SPECT/CT imaging has been recognized in a variety of medical fields and most recently in orthopaedics; however, clinical adoption has been limited due to shortcomings of analytical tools available. Specifically, SPECT analyses are mainly qualitative due to variation in overall metabolic uptake among patients. Furthermore, most analyses are done in 2D, although rich 3D data are available. Consequently, it is difficult to quantitatively compare the position, size, and intensity of SPECT uptake regions among patients, and therefore difficult to draw meaningful clinical conclusions. METHODS: We propose a method for normalizing orthopaedic SPECT/CT data that enables standardised 3D volumetric quantitative measurements and comparison among patients. Our method is based on 3D localisation using clinically relevant anatomical landmarks and frames of reference, along with intensity value normalisation using clinically relevant reference regions. Using the normalised data, we describe a thresholding technique to distinguish clinically relevant hot spots from background activity. RESULTS: Using an exemplar comparison of two patients, we demonstrate how the normalised, 3D-rendered data can provide a richer source of clinical information and allow quantitative comparison of SPECT/CT measurements across patients. Specifically, we demonstrate how non-normalized SPECT/CT analysis can lead to different clinical conclusions than the normalized SPECT/CT analysis, and that normalized quantitative analysis can be a more accurate indicator of pathology. CONCLUSIONS: Conventional orthopaedic frames of reference, 3D volumetric data analysis and thresholding are used to distinguish clinically relevant hot spots from background activity. Our goal is to facilitate a standardised approach to quantitative data collection and comparison of clinical studies using SPECT/CT, enabling more widespread clinical use of this powerful imaging tool.}, issn = {1471-2342}, doi = {10.1186/1471-2342-12-5}, author = {Hirschmann, Michael T and Wagner, Christopher R and Rasch, Helmut and Henckel, Johann} } @conference {829, title = {A Standards-Based Open Source Application to Gather Health Assessment Data in Developing Countries}, booktitle = {Global Humanitarian Technology Conference (GHTC), 2012 IEEE}, year = {2012}, month = {oct.}, abstract = {Many organizations are working in developing coun- tries to support local health care organizations and infrastructure to provide sustainable, community-based health care. This requires not only the influx of medical staff and supplies, but also requires maintaining individual health care records and enabling the ability to collect, analyze and aggregate data in the field to customize care to the local needs of the community, and to provide continuity of care to its citizens. The recent rise of adoption of standards for electronic health records(EHR) provides an alternative to using paper forms in mobile health clinics that often serve these countries. In this paper, we describe an open-source, standards-based health assessment software application developed by the non-profit organization Health Records For Everyone (HR4E) and field tested in a mobile health clinic in rural Ethiopia in the fall of 2011. The application allows mobile health clinic staff to quickly deploy medical clinics and collect patient data electronically in the face of various environmental challenges. In addition to producing electronic patient records which are validated in-field using HL7{\textquoteright}s Clinical Document Architecture standard, the application allows medical practitioners to view and summarize patient data for in-field analysis.}, keywords = {and Telemedicine, Ash, Communities, Computers, Health, Medical services, Medical Technology, Mobile communication, Software, Standards}, doi = {10.1109/GHTC.2012.78}, author = {Gainer, Alex and Roth, Mary and Strong, Phil and Davis, James} } @inbook {786, title = {VURTIGO: Visualization Platform for Real-Time, MRI-Guided Cardiac Electroanatomic Mapping}, booktitle = {Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges}, series = {Lecture Notes in Computer Science}, volume = {7085}, year = {2012}, pages = {244-253}, publisher = {Springer Berlin / Heidelberg}, organization = {Springer Berlin / Heidelberg}, abstract = {Guidance of electrophysiological (EP) procedures by magnetic resonance imaging (MRI) has significant advantages over x-ray fluoroscopy. Display of electroanatomic mapping (EAM) during an intervention fused with a prior MR volume and DE-MRI derived tissue classification should improve the accuracy of cardiac resynchronization therapy (CRT) for ventricular arrhythmias. Improved accuracy in the spatial localization of recorded EP points will produce an EAM to constrain and customize patient-specific cardiac electroanatomic models being developed for understanding the patterns of arrhythmogenic slow conduction zones causing reentry circuits and treatment planning. The Vurtigo software presented here is a four dimensional (3D+time) real-time visualization application for guiding interventions capable of displaying prior volumes, real-time MRI scan planes, EAM (voltage or activation times), segmented models, and tracked catheters. This paper will describe the architecture and features of Vurtigo followed by the application example of guiding percutaneous cardiac electroanatomic mapping in porcine models.}, isbn = {978-3-642-28325-3}, url = {http://dx.doi.org/10.1007/978-3-642-28326-0_25}, author = {Radau, Perry and Pintilie, Stefan and Flor, Roey and Biswas, Labonny and Oduneye, Samuel and Ramanan, Venkat and Anderson, Kevan and Wright, Graham}, editor = {Camara, Oscar and Konukoglu, Ender and Pop, Mihaela and Rhode, Kawal and Sermesant, Maxime and Young, Alistair} } @article {909, title = {Common characteristics of open source software development and applicability for drug discovery: A systematic review}, journal = {Health Research Policy and Systems}, volume = {9}, year = {2011}, abstract = {Background: Innovation through an open source model has proven to be successful for software development. This success has led many to speculate if open source can be applied to other industries with similar success. We attempt to provide an understanding of open source software development characteristics for researchers, business leaders and government officials who may be interested in utilizing open source innovation in other contexts and with an emphasis on drug discovery.Methods: A systematic review was performed by searching relevant, multidisciplinary databases to extract empirical research regarding the common characteristics and barriers of initiating and maintaining an open source software development project.Results: Common characteristics to open source software development pertinent to open source drug discovery were extracted. The characteristics were then grouped into the areas of participant attraction, management of volunteers, control mechanisms, legal framework and physical constraints. Lastly, their applicability to drug discovery was examined.Conclusions: We believe that the open source model is viable for drug discovery, although it is unlikely that it will exactly follow the form used in software development. Hybrids will likely develop that suit the unique characteristics of drug discovery. We suggest potential motivations for organizations to join an open source drug discovery project. We also examine specific differences between software and medicines, specifically how the need for laboratories and physical goods will impact the model as well as the effect of patents. {\textcopyright} 2011 {\r A}rdal et al; licensee BioMed Central Ltd.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80053368637\&partnerID=40\&md5=758353a8f6509a3198a8d06164bdec37}, author = {{\r A}rdal, C.a and Alstads{\ae} ter, A.b and R{\o}ttingen, J.-A.b} } @article {660, title = {Dicoogle - an Open Source Peer-to-Peer PACS.}, journal = {Journal of digital imaging : the official journal of the Society for Computer Applications in Radiology}, volume = {24}, year = {2011}, month = {2011 Oct}, pages = {848-56}, abstract = {Picture Archiving and Communication Systems (PACS) have been widely deployed in healthcare institutions, and they now constitute a normal commodity for practitioners. However, its installation, maintenance, and utilization are still a burden due to their heavy structures, typically supported by centralized computational solutions. In this paper, we present Dicoogle, a PACS archive supported by a document-based indexing system and by peer-to-peer (P2P) protocols. Replacing the traditional database storage (RDBMS) by a documental organization permits gathering and indexing data from file-based repositories, which allows searching the archive through free text queries. As a direct result of this strategy, more information can be extracted from medical imaging repositories, which clearly increases flexibility when compared with current query and retrieval DICOM services. The inclusion of P2P features allows PACS internetworking without the need for a central management framework. Moreover, Dicoogle is easy to install, manage, and use, and it maintains full interoperability with standard DICOM services.}, issn = {1618-727X}, doi = {10.1007/s10278-010-9347-9}, author = {Costa, Carlos and Ferreira, Carlos and Basti{\~a}o, Lu{\'\i}s and Ribeiro, Lu{\'\i}s and Silva, Augusto and Oliveira, Jos{\'e} Lu{\'\i}s} } @inbook {springerlink:10.1007/978-3-642-24418-6_29, title = {Health Informatics: The Relevance of Open Source and Multilevel Modeling}, booktitle = {Open Source Systems: Grounding Research}, series = {IFIP Advances in Information and Communication Technology}, volume = {365}, year = {2011}, note = {10.1007/978-3-642-24418-6_29}, pages = {338-347}, publisher = {Springer Boston}, organization = {Springer Boston}, abstract = {Health information features significant spatial-temporal and domain complexities, which brings challenges to the implementation of patient-centered, interoperable and semantically coherent healthcare information systems. This position paper supports the idea that the multilevel modeling approach is essential to ensure interoperability at the semantic level, but true interoperability is only achieved by the adoption of open standards, and open source implementations are needed for promote competition based on software quality. The Multilevel Healthcare Information Modelling (MLHIM) specifications are presented as the fully open source multilevel modeling reference implementation, and best practices for the development of multilevel-based open source healthcare applications are suggested.}, isbn = {978-3-642-24417-9}, url = {http://dx.doi.org/10.1007/978-3-642-24418-6_29}, author = {Cavalini, Luciana and Cook, Timothy}, editor = {Hissam, Scott and Russo, Barbara and de Mendon{\c c}a Neto, Manoel and Kon, Fabio} } @article {642, title = {Implementation of an open source provider organization registry service.}, journal = {Studies in health technology and informatics}, volume = {169}, year = {2011}, month = {2011}, pages = {265-9}, abstract = {Healthcare Information Exchange Networks (HIEN) enables the exchange of medical information between different institutions. One of the biggest problems running a HIEN is the unique identification of the care providers. The provider and organisation registry service (PORS) has to provide a unique identifier for care providers. The concept and the implementation of PORS will be described in this article. Finally the PORS implementation will be compared with the Integrating the Healthcare Enterprise (IHE) profile for a Healthcare Provider Directory (HPD).}, issn = {0926-9630}, author = {Birkle, Markus and Schneider, Benjamin and Beck, Tobias and Deuster, Thomas and Fischer, Markus and Flatow, Florian and Heinrich, Robert and Kapp, Christian and Riemer, Jasmin and Simon, Michael and Bergh, Bj{\"o}rn} } @article {594, title = {Implementation of the Zambia electronic perinatal record system for comprehensive prenatal and delivery care.}, journal = {International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics}, volume = {113}, year = {2011}, month = {2011 May}, pages = {131-6}, abstract = {OBJECTIVE: To characterize prenatal and delivery care in an urban African setting. METHODS: The Zambia Electronic Perinatal Record System (ZEPRS) was implemented to record demographic characteristics, past medical and obstetric history, prenatal care, and delivery and newborn care for pregnant women across 25 facilities in the Lusaka public health sector. RESULTS: From June 1, 2007, to January 31, 2010, 115552 pregnant women had prenatal and delivery information recorded in ZEPRS. Median gestation age at first prenatal visit was 23weeks (interquartile range [IQR] 19-26). Syphilis screening was documented in 95663 (83\%) pregnancies: 2449 (2.6\%) women tested positive, of whom 1589 (64.9\%) were treated appropriately. 111108 (96\%) women agreed to HIV testing, of whom 22\% were diagnosed with HIV. Overall, 112813 (98\%) of recorded pregnancies resulted in a live birth, and 2739 (2\%) in a stillbirth. The median gestational age was 38weeks (IQR 35-40) at delivery; the median birth weight of newborns was 3000g (IQR 2700-3300g). CONCLUSION: The results demonstrate the feasibility of using a comprehensive electronic medical record in an urban African setting, and highlight its important role in ongoing efforts to improve clinical care.}, issn = {1879-3479}, author = {Chi, Benjamin H and Vwalika, Bellington and Killam, William P and Wamalume, Chibesa and Giganti, Mark J and Mbewe, Reuben and Stringer, Elizabeth M and Chintu, Namwinga T and Putta, Nande B and Liu, Katherine C and Chibwesha, Carla J and Rouse, Dwight J and Stringer, Jeffrey S A} } @article {538, title = {Integration of 3D anatomical data obtained by CT imaging and 3D optical scanning for Computer Aided Implant Surgery.}, journal = {BMC medical imaging}, volume = {11}, year = {2011}, month = {2011 Feb 21}, pages = {5}, abstract = {ABSTRACT: BACKGROUND: A precise placement of dental implants is a crucial step to optimize both prosthetic aspects and functional constraints. In this context, the use of virtual guiding systems has been recognized as a fundamental tool to control the ideal implant position. In particular, complex periodontal surgeries can be performed using preoperative planning based on CT data. The critical point of the procedure relies on the lack of accuracy in transferring CT planning information to surgical field through custom-made stereo-lithographic surgical guides. METHODS: In this work, a novel methodology is proposed for monitoring loss of accuracy in transferring CT dental information into periodontal surgical field. The methodology is based on integrating 3D data of anatomical (impression and cast) and preoperative (radiographic template) models, obtained by both CT and optical scanning processes. RESULTS: A clinical case, relative to a fully edentulous jaw patient, has been used as test case to assess the accuracy of the various steps concurring in manufacturing surgical guides. In particular, a surgical guide has been designed to place implants in the bone structure of the patient. The analysis of the results has allowed the clinician to monitor all the errors, which have been occurring step by step manufacturing the physical templates. CONCLUSIONS: The use of an optical scanner, which has a higher resolution and accuracy than CT scanning, has demonstrated to be a valid support to control the precision of the various physical models adopted and to point out possible error sources. A case study regarding a fully edentulous patient has confirmed the feasibility of the proposed methodology.}, issn = {1471-2342}, author = {Frisardi, Gianni and Chessa, Giacomo and Barone, Sandro and Paoli, Alessandro and Razionale, Armando and Frisardi, Flavio} } @inbook {springerlink:10.1007/978-3-642-24418-6_15, title = {Libre Software as an Innovation Enabler in India Experiences of a Bangalorian Software SME}, booktitle = {Open Source Systems: Grounding Research}, series = {IFIP Advances in Information and Communication Technology}, volume = {365}, year = {2011}, note = {10.1007/978-3-642-24418-6_15}, pages = {220-232}, publisher = {Springer Boston}, organization = {Springer Boston}, abstract = {Free/Libre and open source software (FLOSS) has been advocated for its presumed capacity to support native software industries in developing countries. It is said to create new spaces for exploration and to lower entry barriers to mature software markets, for example. However, little empirical research has been conducted concerning FLOSS business in a developing country setting and, thus, there is not much evidence to support or refute these claims. This paper presents a business case study conducted in India, a country branded as a {\textquoteright}software powerhouse{\textquoteright} of the developing world. The findings show how FLOSS has opened up significant opportunities for the case company, especially in terms of improving its innovative capability and upgrading in the software value chain. On the other hand, they also highlight some challenges to FLOSS involvement that rise specifically from the Indian context.}, isbn = {978-3-642-24417-9}, url = {http://dx.doi.org/10.1007/978-3-642-24418-6_15}, author = {Henttonen, Katja}, editor = {Hissam, Scott and Russo, Barbara and de Mendon{\c c}a Neto, Manoel and Kon, Fabio} } @article {573, title = {mantisGRID: A Grid Platform for DICOM Medical Images Management in Colombia and Latin America.}, journal = {Journal of digital imaging : the official journal of the Society for Computer Applications in Radiology}, volume = {24}, year = {2011}, month = {2011 Apr}, pages = {271-83}, abstract = {This paper presents the mantisGRID project, an interinstitutional initiative from Colombian medical and academic centers aiming to provide medical grid services for Colombia and Latin America. The mantisGRID is a GRID platform, based on open source grid infrastructure that provides the necessary services to access and exchange medical images and associated information following digital imaging and communications in medicine (DICOM) and health level 7 standards. The paper focuses first on the data abstraction architecture, which is achieved via Open Grid Services Architecture Data Access and Integration (OGSA-DAI) services and supported by the Globus Toolkit. The grid currently uses a 30-Mb bandwidth of the Colombian High Technology Academic Network, RENATA, connected to Internet 2. It also includes a discussion on the relational database created to handle the DICOM objects that were represented using Extensible Markup Language Schema documents, as well as other features implemented such as data security, user authentication, and patient confidentiality. Grid performance was tested using the three current operative nodes and the results demonstrated comparable query times between the mantisGRID (OGSA-DAI) and Distributed mySQL databases, especially for a large number of records.}, issn = {1618-727X}, author = {Garcia Ruiz, Manuel and Garcia Chaves, Alvin and Ruiz Iba{\~n}ez, Carlos and Gutierrez Mazo, Jorge Mario and Ramirez Giraldo, Juan Carlos and Pelaez Echavarria, Alejandro and Valencia Diaz, Edison and Pelaez Restrepo, Gustavo and Montoya Munera, Edwin Nelson and Garcia Loaiza, Bernardo and Gomez Gonzalez, Sebastian} } @article {doi:10.3109/17538157.2011.590257, title = {A novel open-source web-based platform promoting collaboration of healthcare professionals and biostatisticians: A design science approach}, journal = {Informatics for Health and Social Care}, year = {2011}, pages = {1-15}, abstract = {Collaboration among clinicians and statisticians is relatively poor, with many cases leading to poor quality research, reflected by low level of evidence studies published in the literature, thus affecting the overall quality of healthcare. We have developed a novel open-source web-based platform aiming in reinforcing the clinician{\textendash}statistician relationship, using an iterative design research process by involving all end-users. Evaluation of this platform by healthcare professionals and biostatisticians was highly positive, as we first identified the pitfalls of their relationship and overcame them through the use of this platform. We are hoping that this will strengthen the clinician{\textendash}statistician relationship in the short term and ultimately improve the quality of research and hence the quality of healthcare in the long term.}, keywords = {clinician, collaboration, design science research, open source, quality of research, relationship, statisticians, user-centred}, doi = {10.3109/17538157.2011.590257}, url = {http://informahealthcare.com/doi/abs/10.3109/17538157.2011.590257}, author = {Raptis, Dimitri A. and Mettler, Tobias and Tzanas, Kostas and Graf, Rolf} } @inbook {springerlink:10.1007/978-1-4419-7046-6_68, title = {Open Source Clinical Portals: A Model for Healthcare Information Systems to Support Care Processes and Feed Clinical Research}, booktitle = {Software Tools and Algorithms for Biological Systems}, series = {Advances in Experimental Medicine and Biology}, volume = {696}, year = {2011}, note = {10.1007/978-1-4419-7046-6_68}, pages = {667-677}, publisher = {Springer New York}, organization = {Springer New York}, abstract = {Open source is a still unexploited chance for healthcare organizations and technology providers to answer to a growing demand for innovation and to join economical benefits with a new way of managing hospital information systems. This chapter will present the case of the web enterprise clinical portal developed in Italy by Niguarda Hospital in Milan with the support of Fondazione Politecnico di Milano, to enable a paperless environment for clinical and administrative activities in the ward. This represents also one rare case of open source technology and reuse in the healthcare sector, as the system{\textquoteright}s porting is now taking place at Besta Neurological Institute in Milan. This institute is customizing the portal to feed researchers with structured clinical data collected in its portal{\textquoteright}s patient records, so that they can be analyzed, e.g., through business intelligence tools. Both organizational and clinical advantages are investigated, from process monitoring, to semantic data structuring, to recognition of common patterns in care processes.}, isbn = {978-1-4419-7046-6}, url = {http://dx.doi.org/10.1007/978-1-4419-7046-6_68}, author = {Locatelli, Paolo and Baj, Emanuele and Restifo, Nicola and Origgi, Gianni and Bragagia, Silvia}, editor = {Arabnia, Hamid R. R. and Tran, Quoc-Nam} } @article {info:doi/10.2196/jmir.1521, title = {Open Source, Open Standards, and Health Care Information Systems}, journal = {J Med Internet Res}, volume = {13}, number = {1}, year = {2011}, month = {Feb}, pages = {e24}, keywords = {Health Care Information Systems}, doi = {10.2196/jmir.1521}, url = {http://www.jmir.org/2011/1/e24/}, author = {Reynolds, J. Carl and Wyatt, C. Jeremy} } @article {599, title = {Wikipedia: a key tool for global public health promotion.}, journal = {Journal of medical Internet research}, volume = {13}, year = {2011}, month = {2011}, pages = {e14}, abstract = {The Internet has become an important health information resource for patients and the general public. Wikipedia, a collaboratively written Web-based encyclopedia, has become the dominant online reference work. It is usually among the top results of search engine queries, including when medical information is sought. Since April 2004, editors have formed a group called WikiProject Medicine to coordinate and discuss the English-language Wikipedia{\textquoteright}s medical content. This paper, written by members of the WikiProject Medicine, discusses the intricacies, strengths, and weaknesses of Wikipedia as a source of health information and compares it with other medical wikis. Medical professionals, their societies, patient groups, and institutions can help improve Wikipedia{\textquoteright}s health-related entries. Several examples of partnerships already show that there is enthusiasm to strengthen Wikipedia{\textquoteright}s biomedical content. Given its unique global reach, we believe its possibilities for use as a tool for worldwide health promotion are underestimated. We invite the medical community to join in editing Wikipedia, with the goal of providing people with free access to reliable, understandable, and up-to-date health information.}, keywords = {Consumer Health Information, Encyclopedias as Topic, Health Promotion, Humans, Information Dissemination, Information Services, Internet, Patient Education as Topic, Public Health, World Health}, issn = {1438-8871}, author = {Heilman, James M and Kemmann, Eckhard and Bonert, Michael and Chatterjee, Anwesh and Ragar, Brent and Beards, Graham M and Iberri, David J and Harvey, Matthew and Thomas, Brendan and Stomp, Wouter and Martone, Michael F and Lodge, Daniel J and Vondracek, Andrea and de Wolff, Jacob F and Liber, Casimir and Grover, Samir C and Vickers, Tim J and Mesk{\'o}, Bertalan and Laurent, Micha{\"e}l R} } @article {849, title = {The Yale cTAKES extensions for document classification: architecture and application.}, journal = {J Am Med Inform Assoc}, volume = {18}, year = {2011}, month = {2011 Sep-Oct}, pages = {614-20}, abstract = {

BACKGROUND: Open-source clinical natural-language-processing (NLP) systems have lowered the barrier to the development of effective clinical document classification systems. Clinical natural-language-processing systems annotate the syntax and semantics of clinical text; however, feature extraction and representation for document classification pose technical challenges.

METHODS: The authors developed extensions to the clinical Text Analysis and Knowledge Extraction System (cTAKES) that simplify feature extraction, experimentation with various feature representations, and the development of both rule and machine-learning based document classifiers. The authors describe and evaluate their system, the Yale cTAKES Extensions (YTEX), on the classification of radiology reports that contain findings suggestive of hepatic decompensation.

RESULTS AND DISCUSSION: The F(1)-Score of the system for the retrieval of abdominal radiology reports was 96\%, and was 79\%, 91\%, and 95\% for the presence of liver masses, ascites, and varices, respectively. The authors released YTEX as open source, available at http://code.google.com/p/ytex.

}, keywords = {Connecticut, Data Mining, Decision Support Systems, Clinical, electronic health records, Humans, Liver Failure, Natural Language Processing, Pattern Recognition, Automated, Radiology Information Systems}, issn = {1527-974X}, doi = {10.1136/amiajnl-2011-000093}, author = {Garla, Vijay and Lo Re, Vincent and Dorey-Stein, Zachariah and Kidwai, Farah and Scotch, Matthew and Womack, Julie and Justice, Amy and Brandt, Cynthia} } @article {610, title = {Adaptive radiotherapy based on contrast enhanced cone beam CT imaging.}, journal = {Acta oncologica (Stockholm, Sweden)}, volume = {49}, year = {2010}, month = {2010 Oct}, pages = {972-7}, abstract = {Cone beam CT (CBCT) imaging has become an integral part of radiation therapy, with images typically used for offline or online patient setup corrections based on bony anatomy co-registration. Ideally, the co-registration should be based on tumor localization. However, soft tissue contrast in CBCT images may be limited. In the present work, contrast enhanced CBCT (CECBCT) images were used for tumor visualization and treatment adaptation. Material and methods. A spontaneous canine maxillary tumor was subjected to repeated cone beam CT imaging during fractionated radiotherapy (10 fractions in total). At five of the treatment fractions, CECBCT images, employing an iodinated contrast agent, were acquired, as well as pre-contrast CBCT images. The tumor was clearly visible in post-contrast minus pre-contrast subtraction images, and these contrast images were used to delineate gross tumor volumes. IMRT dose plans were subsequently generated. Four different strategies were explored: 1) fully adapted planning based on each CECBCT image series, 2) planning based on images acquired at the first treatment fraction and patient repositioning following bony anatomy co-registration, 3) as for 2), but with patient repositioning based on co-registering contrast images, and 4) a strategy with no patient repositioning or treatment adaptation. The equivalent uniform dose (EUD) and tumor control probability (TCP) calculations to estimate treatment outcome for each strategy. Results. Similar translation vectors were found when bony anatomy and contrast enhancement co-registration were compared. Strategy 1 gave EUDs closest to the prescription dose and the highest TCP. Strategies 2 and 3 gave EUDs and TCPs close to that of strategy 1, with strategy 3 being slightly better than strategy 2. Even greater benefits from strategies 1 and 3 are expected with increasing tumor movement or deformation during treatment. The non-adaptive strategy 4 was clearly inferior to all three adaptive strategies. Conclusion. CECBCT may prove useful for adaptive radiotherapy.}, keywords = {Animals, Carcinoma, Cone-Beam Computed Tomography, Contrast Media, Dog Diseases, Dogs, Female, Maxillary Neoplasms, Patient Positioning, Radiographic Image Enhancement, Radiotherapy Planning, Computer-Assisted}, issn = {1651-226X}, author = {S{\o}vik, Aste and R{\o}dal, Jan and Skogmo, Hege K and Lerv{\r a}g, Christoffer and Eilertsen, Karsten and Malinen, Eirik} } @article {529, title = {AngioLab: Integrated technology for patient-specific management of intracranial aneurysms.}, journal = {Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference}, volume = {1}, year = {2010}, month = {2010}, pages = {6801-4}, abstract = {AngioLab is a software tool developed within the GIMIAS framework and is part of a more ambitious pipeline for the integrated management of cerebral aneurysms. AngioLab currently includes three plug-ins: angio segmentation, angio morphology and stenting, as well as supports advanced rendering techniques for the visualization of virtual angiographies. In December 2009, 23 clinicians completed an evaluation questionnaire about AngioLab. This activity was part of a teaching course held during the 2(nd) European Society for Minimally Invasive Neurovascular Treatment (ESMINT) Teaching Course held at the Universitat Pompeu Fabra, Barcelona, Spain. The Automated Morphological Analysis (angio morphology plug-in) and the Endovascular Treatment Planning (stenting plug-in) were evaluated. In general, the results provided by these tools were considered as relevant and as an emerging need in their clinical field.}, issn = {1557-170X}, author = {Villa-Uriol, M C and Larrabide, I and Geers, A J and Pozo, J and Bogunovic, H and Mazzeo, M and Omedas, P and Barbarito, V and Carotenuto, L and Riccobene, C and Planes, X and Martelli, Y and Frangi, A F} } @article {871, title = {The caBIG annotation and image Markup project.}, journal = {J Digit Imaging}, volume = {23}, year = {2010}, month = {2010 Apr}, pages = {217-25}, abstract = {

Image annotation and markup are at the core of medical interpretation in both the clinical and the research setting. Digital medical images are managed with the DICOM standard format. While DICOM contains a large amount of meta-data about whom, where, and how the image was acquired, DICOM says little about the content or meaning of the pixel data. An image annotation is the explanatory or descriptive information about the pixel data of an image that is generated by a human or machine observer. An image markup is the graphical symbols placed over the image to depict an annotation. While DICOM is the standard for medical image acquisition, manipulation, transmission, storage, and display, there are no standards for image annotation and markup. Many systems expect annotation to be reported verbally, while markups are stored in graphical overlays or proprietary formats. This makes it difficult to extract and compute with both of them. The goal of the Annotation and Image Markup (AIM) project is to develop a mechanism, for modeling, capturing, and serializing image annotation and markup data that can be adopted as a standard by the medical imaging community. The AIM project produces both human- and machine-readable artifacts. This paper describes the AIM information model, schemas, software libraries, and tools so as to prepare researchers and developers for their use of AIM.

}, keywords = {Computational Biology, Computer Communication Networks, Databases, Factual, Diagnostic Imaging, Humans, Interdisciplinary Communication, Medical Records Systems, Computerized, National Cancer Institute (U.S.), National Institutes of Health (U.S.), Neoplasms, Program Evaluation, Quality of Health Care, Radiographic Image Enhancement, Radiology Information Systems, Software, Systems Integration, United States, User-Computer Interface}, issn = {1618-727X}, doi = {10.1007/s10278-009-9193-9}, author = {Channin, David S and Mongkolwat, Pattanasak and Kleper, Vladimir and Sepukar, Kastubh and Rubin, Daniel L} } @article {904, title = {Electronic data capture for registries and clinical trials in orthopaedic surgery: Open source versus commercial systems}, journal = {Clinical Orthopaedics and Related Research}, volume = {468}, year = {2010}, pages = {2664{\textendash}2671}, abstract = {Background: Collection and analysis of clinical data can help orthopaedic surgeons to practice evidence based medicine. Spreadsheets and offline relational databases are prevalent, but not flexible, secure, workflow friendly and do not support the generation of standardized and interoperable data. Additionally these data collection applications usually do not follow a structured and planned approach which may result in failure to achieve the intended goal. Questions/purposes: Our purposes are (1) to provide a brief overview of EDC systems, their types, and related pros and cons as well as to describe commonly used EDC platforms and their features; and (2) describe simple steps involved in designing a registry/clinical study in DADOS P, an open source EDC system. Where are we now?: Electronic data capture systems aimed at addressing these issues are widely being adopted at an institutional/national/ international level but are lacking at an individual level. A wide array of features, relative pros and cons and different business models cause confusion and indecision among orthopaedic surgeons interested in implementing EDC systems. Where do we need to go?: To answer clinical questions and actively participate in clinical studies, orthopaedic surgeons should collect data in parallel to their clinical activities. Adopting a simple, user-friendly, and robust EDC system can facilitate the data collection process. How do we get there?: Conducting a balanced evaluation of available options and comparing them with intended goals and requirements can help orthopaedic surgeons to make an informed choice. {\textcopyright} 2010 The Association of Bone and Joint Surgeons{\textregistered}.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77957336660\&partnerID=40\&md5=dec3706be86215e9656a06f82265cb28}, author = {Shah, J.a b and Rajgor, D.a b and Pradhan, S.a b and McCready, M.c and Zaveri, A.a d and Pietrobon, R.c} } @article {1016, title = {Experience implementing a point-of-care electronic medical record system for primary care in Malawi.}, journal = {Stud Health Technol Inform}, volume = {160}, year = {2010}, month = {2010}, pages = {96-100}, abstract = {

Due to the fact that health care professionals in Malawi are often overstretched, the use and quality of health data can be compromised. The Malawi Health Management Information System (HMIS) has streamlined data collection and reporting and increased the use of data to improve care. Obstacles remain, including incomplete reporting and low staff morale. With the Baobab Health Trust and the Malawi Ministry of Health, Partners In Health piloted an innovative point-of-care data system for primary care that functions alongside OpenMRS, an open source medical record platform. The system has given access to a patient-level primary care dataset in real time. Initial results highlight some of the benefits of a point-of-care system such as improved data quality, emphasize the importance of sharing data with clinical practitioners, and shed light on how this approach could strengthen HMIS.

}, keywords = {Database Management Systems, electronic health records, Equipment Design, Information Storage and Retrieval, Malawi, Point-of-Care Systems, Primary Health Care, Software}, issn = {0926-9630}, author = {Waters, Evan and Rafter, Jeff and Douglas, Gerald P and Bwanali, Mwatha and Jazayeri, Darius and Fraser, Hamish S F} } @article {20663194, title = {ImmunoRatio: a publicly available web application for quantitative image analysis of estrogen receptor (ER), progesterone receptor (PR), and Ki-67.}, journal = {Breast cancer research : BCR}, volume = {12}, year = {2010}, month = {2010 Jul 27}, pages = {R56}, abstract = {ABSTRACT: INTRODUCTION: Accurate assessment of estrogen receptor (ER), progesterone receptor (PR), and Ki-67 is essential in the histopathologic diagnostics of breast cancer. Commercially available image analysis systems are usually bundled with dedicated analysis hardware and, to our knowledge, no easily installable, free software for immunostained slide scoring has been described. In this study, we describe a free, Internet-based web application for quantitative image analysis of ER, PR, and Ki-67 immunohistochemistry in breast cancer tissue sections. METHODS: The application, named ImmunoRatio, calculates the percentage of positively stained nuclear area (labeling index) by using a color deconvolution algorithm for separating the staining components (diaminobenzidine and hematoxylin) and adaptive thresholding for nuclear area segmentation. ImmunoRatio was calibrated using cell counts defined visually as the gold standard (training set, n=50). Validation was done using a separate set of 50 ER, PR, and Ki-67 stained slides (test set, n=50). In addition, Ki-67 labeling indexes determined by ImmunoRatio were studied for their prognostic value in a retrospective cohort of 123 breast cancer patients. RESULTS: The labeling indexes by calibrated ImmunoRatio analyses correlated well with those defined visually in the test set (correlation coefficient r=0.98). Using the median Ki-67 labeling index (20\%) as a cutoff, a hazard ratio of 2.2 was obtained in the survival analysis (n=123, P=0.01). ImmunoRatio was shown to adapt to various staining protocols, microscope setups, digital camera models, and image acquisition settings. The application can be used directly with web browsers running on modern operating systems (e.g., Microsoft Windows, Linux distributions, and Mac OS). No software downloads or installations are required. ImmunoRatio is open source software, and the web application is publicly accessible on our website. CONCLUSIONS: We anticipate that free web applications, such as ImmunoRatio, will make the quantitative image analysis of ER, PR, and Ki-67 easy and straightforward in the diagnostic assessment of breast cancer specimens.}, author = {Tuominen, Vilppu J and Ruotoistenmaki, Sanna and Viitanen, Arttu and Jumppanen, Mervi and Isola, Jorma} } @article {10.1371/journal.pone.0014094, title = {JULIDE: A Software Tool for 3D Reconstruction and Statistical Analysis of Autoradiographic Mouse Brain Sections}, journal = {PLoS ONE}, volume = {5}, number = {11}, year = {2010}, month = {11}, pages = {e14094}, publisher = {Public Library of Science}, abstract = {

In this article we introduce JULIDE, a software toolkit developed to perform the 3D reconstruction, intensity normalization, volume standardization by 3D image registration and voxel-wise statistical analysis of autoradiographs of mouse brain sections. This software tool has been developed in the open-source ITK software framework and is freely available under a GPL license. The article presents the complete image processing chain from raw data acquisition to 3D statistical group analysis. Results of the group comparison in the context of a study on spatial learning are shown as an illustration of the data that can be obtained with this tool.

}, doi = {10.1371/journal.pone.0014094}, url = {http://dx.doi.org/10.1371\%2Fjournal.pone.0014094}, author = {Ribes, Delphine and Parafita, Julia and Charrier, R{\'e}mi and Magara, Fulvio and Magistretti, Pierre J. and Thiran, Jean-Philippe} } @article {1042, title = {JULIDE: a software tool for 3D reconstruction and statistical analysis of autoradiographic mouse brain sections.}, journal = {PLoS One}, volume = {5}, year = {2010}, month = {2010}, pages = {e14094}, abstract = {

In this article we introduce JULIDE, a software toolkit developed to perform the 3D reconstruction, intensity normalization, volume standardization by 3D image registration and voxel-wise statistical analysis of autoradiographs of mouse brain sections. This software tool has been developed in the open-source ITK software framework and is freely available under a GPL license. The article presents the complete image processing chain from raw data acquisition to 3D statistical group analysis. Results of the group comparison in the context of a study on spatial learning are shown as an illustration of the data that can be obtained with this tool.

}, keywords = {Animals, Autoradiography, Brain, Carbon Radioisotopes, Deoxyglucose, Image Processing, Computer-Assisted, Imaging, Three-Dimensional, Male, Maze Learning, Mice, Mice, Inbred C57BL, Reproducibility of Results, Software}, issn = {1932-6203}, doi = {10.1371/journal.pone.0014094}, author = {Ribes, Delphine and Parafita, Julia and Charrier, R{\'e}mi and Magara, Fulvio and Magistretti, Pierre J and Thiran, Jean-Philippe} } @article {19910667, title = {The medical exploration toolkit: an efficient support for visual computing in surgical planning and training.}, journal = {IEEE transactions on visualization and computer graphics}, volume = {16}, year = {2010}, month = {2010 Jan-Feb}, pages = {133-46}, abstract = {Application development is often guided by the usage of software libraries and toolkits. For medical applications, the toolkits currently available focus on image analysis and volume rendering. Advance interactive visualizations and user interface issues are not adequately supported. Hence, we present a toolkit for application development in the field of medical intervention planning, training, and presentation--the MEDICALEXPLORATIONTOOLKIT (METK). The METK is based on the rapid prototyping platform MeVisLab and offers a large variety of facilities for an easy and efficient application development process. We present dedicated techniques for advanced medical visualizations, exploration, standardized documentation, adn interface widgets for common tasks. These include, e.g., advanced animation facilities, viewpoint selection, several illustrative rendering techniques, and new techniques for object selection in 3D surface models. No extended programming skills are needed for application building, since a graphical programming approach can be used. the toolkit is freely available and well documented to facilitate the use and extension of the toolkit.}, author = {M{\"u}hler, Konrad and Tietjen, Christian and Ritter, Felix and Preim, Bernhard} } @article {20013373, title = {OpenMS and TOPP: open source software for LC-MS data analysis.}, journal = {Methods in molecular biology (Clifton, N.J.)}, volume = {604}, year = {2010}, month = {2010}, pages = {201-11}, abstract = {The automatic analysis of mass spectrometry data is becoming more and more important since increasingly larger datasets are readily available that cannot be evaluated manually. This has triggered the development of several open-source software libraries for the automatic analysis of such data. Among those is OpenMS together with TOPP (The OpenMS Proteomics Pipeline). OpenMS is a C++ library for rapid prototyping of complex algorithms for the analysis of mass spectrometry data. Based on the OpenMS library, TOPP provides a collection of tools for the most important tasks in proteomics analysis. The tight coupling of OpenMS and TOPP makes it easy to extend TOPP by adding new tools to the OpenMS library. We describe the overall concepts behind the software and illustrate its use with several examples.}, author = {Reinert, Knut and Kohlbacher, Oliver} } @article {1043, title = {An open-source software tool for the generation of relaxation time maps in magnetic resonance imaging.}, journal = {BMC Med Imaging}, volume = {10}, year = {2010}, month = {2010}, pages = {16}, abstract = {

BACKGROUND: In magnetic resonance (MR) imaging, T1, T2 and T2* relaxation times represent characteristic tissue properties that can be quantified with the help of specific imaging strategies. While there are basic software tools for specific pulse sequences, until now there is no universal software program available to automate pixel-wise mapping of relaxation times from various types of images or MR systems. Such a software program would allow researchers to test and compare new imaging strategies and thus would significantly facilitate research in the area of quantitative tissue characterization.

RESULTS: After defining requirements for a universal MR mapping tool, a software program named MRmap was created using a high-level graphics language. Additional features include a manual registration tool for source images with motion artifacts and a tabular DICOM viewer to examine pulse sequence parameters. MRmap was successfully tested on three different computer platforms with image data from three different MR system manufacturers and five different sorts of pulse sequences: multi-image inversion recovery T1; Look-Locker/TOMROP T1; modified Look-Locker (MOLLI) T1; single-echo T2/T2*; and multi-echo T2/T2*. Computing times varied between 2 and 113 seconds. Estimates of relaxation times compared favorably to those obtained from non-automated curve fitting. Completed maps were exported in DICOM format and could be read in standard software packages used for analysis of clinical and research MR data.

CONCLUSIONS: MRmap is a flexible cross-platform research tool that enables accurate mapping of relaxation times from various pulse sequences. The software allows researchers to optimize quantitative MR strategies in a manufacturer-independent fashion. The program and its source code were made available as open-source software on the internet.

}, keywords = {Algorithms, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Programming Languages, Reproducibility of Results, Sensitivity and Specificity, Software}, issn = {1471-2342}, doi = {10.1186/1471-2342-10-16}, author = {Messroghli, Daniel R and Rudolph, Andre and Abdel-Aty, Hassan and Wassmuth, Ralf and Kuhne, Titus and Dietz, Rainer and Schulz-Menger, Jeanette} } @article {1471-2342-10-16, title = {An open-source software tool for the generation of relaxation time maps in magnetic resonance imaging}, journal = {BMC Medical Imaging}, volume = {10}, number = {1}, year = {2010}, pages = {16}, abstract = {BACKGROUND:In magnetic resonance (MR) imaging, T1, T2 and T2* relaxation times represent characteristic tissue properties that can be quantified with the help of specific imaging strategies. While there are basic software tools for specific pulse sequences, until now there is no universal software program available to automate pixel-wise mapping of relaxation times from various types of images or MR systems. Such a software program would allow researchers to test and compare new imaging strategies and thus would significantly facilitate research in the area of quantitative tissue characterization. RESULTS:After defining requirements for a universal MR mapping tool, a software program named MRmap was created using a high-level graphics language. Additional features include a manual registration tool for source images with motion artifacts and a tabular DICOM viewer to examine pulse sequence parameters. MRmap was successfully tested on three different computer platforms with image data from three different MR system manufacturers and five different sorts of pulse sequences: multi-image inversion recovery T1; Look-Locker/ TOMROP T1; modified Look-Locker inversion recovery (MOLLI) T1; single-echo T2/ T2*; and multi-echo T2/ T2*. Computing times varied between 2 and 113 seconds. Estimates of relaxation times compared favorably to those obtained from non-automated curve fitting. Completed maps were exported in DICOM format and could be read in standard software packages used for analysis of clinical and research MR data. CONCLUSIONS:MRmap is a flexible cross-platform research tool that enables accurate mapping of relaxation times from various pulse sequences. The software allows researchers to optimize quantitative MR strategies in a manufacturer-independent fashion. The program and its source code were made available as open-source software on the internet. }, issn = {1471-2342}, doi = {10.1186/1471-2342-10-16}, url = {http://www.biomedcentral.com/1471-2342/10/16}, author = {Messroghli, Daniel and Rudolph, Andre and Abdel-Aty, Hassan and Wassmuth, Ralf and Kuhne, Titus and Dietz, Rainer and Schulz-Menger, Jeanette} } @article {20482787, title = {Screensaver: an open source lab information management system (LIMS) for high throughput screening facilities.}, journal = {BMC bioinformatics}, volume = {11}, year = {2010}, month = {2010}, pages = {260}, abstract = {BACKGROUND: Shared-usage high throughput screening (HTS) facilities are becoming more common in academe as large-scale small molecule and genome-scale RNAi screening strategies are adopted for basic research purposes. These shared facilities require a unique informatics infrastructure that must not only provide access to and analysis of screening data, but must also manage the administrative and technical challenges associated with conducting numerous, interleaved screening efforts run by multiple independent research groups. RESULTS: We have developed Screensaver, a free, open source, web-based lab information management system (LIMS), to address the informatics needs of our small molecule and RNAi screening facility. Screensaver supports the storage and comparison of screening data sets, as well as the management of information about screens, screeners, libraries, and laboratory work requests. To our knowledge, Screensaver is one of the first applications to support the storage and analysis of data from both genome-scale RNAi screening projects and small molecule screening projects. CONCLUSIONS: The informatics and administrative needs of an HTS facility may be best managed by a single, integrated, web-accessible application such as Screensaver. Screensaver has proven useful in meeting the requirements of the ICCB-Longwood/NSRB Screening Facility at Harvard Medical School, and has provided similar benefits to other HTS facilities.}, author = {Tolopko, Andrew N and Sullivan, John P and Erickson, Sean D and Wrobel, David and Chiang, Su L and Rudnicki, Katrina and Rudnicki, Stewart and Nale, Jennifer and Selfors, Laura M and Greenhouse, Dara and Muhlich, Jeremy L and Shamu, Caroline E} } @article {873, title = {The caBIG terminology review process.}, journal = {J Biomed Inform}, volume = {42}, year = {2009}, month = {2009 Jun}, pages = {571-80}, abstract = {

The National Cancer Institute (NCI) is developing an integrated biomedical informatics infrastructure, the cancer Biomedical Informatics Grid (caBIG), to support collaboration within the cancer research community. A key part of the caBIG architecture is the establishment of terminology standards for representing data. In order to evaluate the suitability of existing controlled terminologies, the caBIG Vocabulary and Data Elements Workspace (VCDE WS) working group has developed a set of criteria that serve to assess a terminology{\textquoteright}s structure, content, documentation, and editorial process. This paper describes the evolution of these criteria and the results of their use in evaluating four standard terminologies: the Gene Ontology (GO), the NCI Thesaurus (NCIt), the Common Terminology for Adverse Events (known as CTCAE), and the laboratory portion of the Logical Objects, Identifiers, Names and Codes (LOINC). The resulting caBIG criteria are presented as a matrix that may be applicable to any terminology standardization effort.

}, keywords = {Medical Informatics, National Institutes of Health (U.S.), Terminology as Topic, United States}, issn = {1532-0480}, doi = {10.1016/j.jbi.2008.12.003}, author = {Cimino, James J and Hayamizu, Terry F and Bodenreider, Olivier and Davis, Brian and Stafford, Grace A and Ringwald, Martin} } @conference {1083, title = {Free and Open Source in Healthcare: Enough Waste}, booktitle = {Proceedings of the 1st International Workshop on Open Source in European Health Care: The Time is Ripe (BIOSTEC 2009)}, year = {2009}, isbn = {978-989-8111-79-1}, doi = {10.5220/0001827800080017}, author = {Nuno Rua} } @article {1018, title = {Mobile Care (Moca) for Remote Diagnosis and Screening.}, journal = {J Health Inform Dev Ctries}, volume = {3}, year = {2009}, month = {2009 Jan 1}, pages = {17-21}, abstract = {

Moca is a cell phone-facilitated clinical information system to improve diagnostic, screening and therapeutic capabilities in remote resource-poor settings. The software allows transmission of any medical file, whether a photo, x-ray, audio or video file, through a cell phone to (1) a central server for archiving and incorporation into an electronic medical record (to facilitate longitudinal care, quality control, and data mining), and (2) a remote specialist for real-time decision support (to leverage expertise). The open source software is designed as an end-to-end clinical information system that seamlessly connects health care workers to medical professionals. It is integrated with OpenMRS, an existing open source medical records system commonly used in developing countries.

}, issn = {1178-4407}, author = {Celi, Leo Anthony and Sarmenta, Luis and Rotberg, Jhonathan and Marcelo, Alvin and Clifford, Gari} } @conference {1087, title = {Open Source: A Lever for Enhancing Opportunities of Healthcare Information Systems - An Italian Case Study}, booktitle = {Proceedings of the 1st International Workshop on Open Source in European Health Care: The Time is Ripe (BIOSTEC 2009)}, year = {2009}, isbn = {978-989-8111-79-1}, doi = {10.5220/0001828700280037}, author = {Emanuele Baj and Paolo Locatelli and Stefano Gatti and Nicola Restifo and Gianni Origgi and Silvia Bragagia} } @conference {903, title = {PESCA: Developing an open source platform to bring eHealth to latin america and the caribbean}, booktitle = {Proceedings of the 1st International Workshop on Open Source in European Health Care: The Time is Ripe, OSEHC 2009 In Conjunction with BIOSTEC 2009 and the EFMI LIFOSS WG}, year = {2009}, abstract = {Nowadays the society needs to communicate and the technologies are revolutionizing the information systems, especially for the health; where an effective use of the technologies is used to favor the needs of the persons. These technologies can contribute to the development of the local economies. Open source software (OSS) can be an useful strategy to bring information and communication technologies to developing countries. However, specially in Latin America and the Caribbean, there are some barriers in adopting OSS for health: the need for open standards, heterogeneous OSS developed without normalization and metrics, English predominance as top OSS language, lack of initiatives to evaluate existing health OSS and needs for quality control and functional validation. The Open Source Platform for eHealth (PESCA) has been designed as a set of interoperable modules that can solve either: simple problems on health management and communication in primary care or complex problems in healthcare systems, including telehealth communications between heterogeneous institutions.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-67650527704\&partnerID=40\&md5=cb5a91f3ccf525ed19857b1e3354a61d}, author = {Orcero, D.S.a}, editor = {L{\'o}pez, D.L.b} } @article {19212459, title = {PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data.}, journal = {Frontiers in neuroinformatics}, volume = {3}, year = {2009}, month = {2009}, pages = {3}, abstract = {The Python programming language is steadily increasing in popularity as the language of choice for scientific computing. The ability of this scripting environment to access a huge code base in various languages, combined with its syntactical simplicity, make it the ideal tool for implementing and sharing ideas among scientists from numerous fields and with heterogeneous methodological backgrounds. The recent rise of reciprocal interest between the machine learning (ML) and neuroscience communities is an example of the desire for an inter-disciplinary transfer of computational methods that can benefit from a Python-based framework. For many years, a large fraction of both research communities have addressed, almost independently, very high-dimensional problems with almost completely non-overlapping methods. However, a number of recently published studies that applied ML methods to neuroscience research questions attracted a lot of attention from researchers from both fields, as well as the general public, and showed that this approach can provide novel and fruitful insights into the functioning of the brain. In this article we show how PyMVPA, a specialized Python framework for machine learning based data analysis, can help to facilitate this inter-disciplinary technology transfer by providing a single interface to a wide array of machine learning libraries and neural data-processing methods. We demonstrate the general applicability and power of PyMVPA via analyses of a number of neural data modalities, including fMRI, EEG, MEG, and extracellular recordings.}, author = {Hanke, Michael and Halchenko, Yaroslav O and Sederberg, Per B and Olivetti, Emanuele and Fr{\"u}nd, Ingo and Rieger, Jochem W and Herrmann, Christoph S and Haxby, James V and Hanson, Stephen Jos{\'e} and Pollmann, Stefan} } @article {19745435, title = {Reversible anonymization of DICOM images using automatically generated policies.}, journal = {Studies in health technology and informatics}, volume = {150}, year = {2009}, month = {2009}, pages = {861-5}, abstract = {Many real-world applications in the area of medical imaging like case study databases require separation of identifying (IDATA) and non-identifying (MDATA) data, specifically those offering Internet-based data access. These kinds of projects also must provide a role-based access system, controlling, how patient data must be organized and how it can be accessed. On DICOM image level, different image types support different kind of information, intermixing IDATA and MDATA in a single object. To separate them, it is possible to reversibly anonymize DICOM objects by substituting IDATA by a unique anonymous token. In case that later an authenticated user needs full access to an image, this token can be used for re-linking formerly separated IDATA and MDATA, thus resulting in a dynamically generated, exact copy of the original image. The approach described in this paper is based on the automatic generation of anonymization policies from the DICOM standard text, providing specific support for all kinds of DICOM images. The policies are executed by a newly developed framework based on the DICOM toolkit DCMTK and offer a reliable approach to reversible anonymization. The implementation is evaluated in a German BMBF-supported expert network in the area of skeletal dysplasias, SKELNET, but may generally be applicable to related projects, enormously improving quality and integrity of diagnostics in a field focused on images. It performs effectively and efficiently on real-world test images from the project and other kind of DICOM images.}, author = {Onken, Michael and Riesmeier, J{\"o}rg and Engel, Marcel and Yabanci, Adem and Zabel, Bernhard and Despr{\'e}s, Stefan} } @article {19321384, title = {The state and profile of open source software projects in health and medical informatics.}, journal = {International journal of medical informatics}, volume = {78}, year = {2009}, month = {2009 Jul}, pages = {457-72}, abstract = {PURPOSE: Little has been published about the application profiles and development patterns of open source software (OSS) in health and medical informatics. This study explores these issues with an analysis of health and medical informatics related OSS projects on SourceForge, a large repository of open source projects. METHODOLOGY: A search was conducted on the SourceForge website during the period from May 1 to 15, 2007, to identify health and medical informatics OSS projects. This search resulted in a sample of 174 projects. A Java-based parser was written to extract data for several of the key variables of each project. Several visually descriptive statistics were generated to analyze the profiles of the OSS projects. RESULTS: Many of the projects have sponsors, implying a growing interest in OSS among organizations. Sponsorship, we discovered, has a significant impact on project success metrics. Nearly two-thirds of the projects have a restrictive license type. Restrictive licensing may indicate tighter control over the development process. Our sample includes a wide range of projects that are at various stages of development (status). Projects targeted towards the advanced end user are primarily focused on bio-informatics, data formats, database and medical science applications. CONCLUSION: We conclude that there exists an active and thriving OSS development community that is focusing on health and medical informatics. A wide range of OSS applications are in development, from bio-informatics to hospital information systems. A profile of OSS in health and medical informatics emerges that is distinct and unique to the health care field. Future research can focus on OSS acceptance and diffusion and impact on cost, efficiency and quality of health care.}, author = {Janamanchi, Balaji and Katsamakas, Evangelos and Raghupathi, Wullianallur and Gao, Wei} } @article {444, title = {Visualization Software for Real-time, Image-guided Therapeutics in Cardiovascular Interventions}, year = {2009}, publisher = {CCSd/HAL : e-articles server (based on gBUS) [http://hal.ccsd.cnrs.fr/oai/oai.php] (France)}, abstract = {This paper introduces RtViewer, a four-dimensional (3D + time) real-time visualization software for guiding cardiovascular interventions that is open source and freely available. RtViewer was designed to be part of a pipeline that can connect it to a magnetic resonance imaging (MRI) scanner, actively tracked catheters, and navigational devices. The architecture and features of RtViewer will be described with examples of guiding percutaneous cardiovascular interventions. The paper concludes with a brief description of the work in progress on the next generation of this platform, named Vurtigo.}, keywords = {Computer Science/Medical Imaging}, url = {http://hal.archives-ouvertes.fr/inria-00417831/en/}, author = {Pintilie, Stefan and Biswas, Labonny and Anderson, Kevan and Dick, Sandy and Wright, Graham and Radau, Perry} } @article {18953134, title = {Open source electronic health record and patient data management system for intensive care.}, journal = {Studies in health technology and informatics}, volume = {141}, year = {2008}, month = {2008}, pages = {139-45}, abstract = {BACKGROUND AND OBJECTIVES: In Intensive Care Units, the amount of data to be processed for patients care, the turn over of the patients, the necessity for reliability and for review processes indicate the use of Patient Data Management Systems (PDMS) and electronic health records (EHR). To respond to the needs of an Intensive Care Unit and not to be locked with proprietary software, we developed a PDMS and EHR based on open source software and components. METHODS: The software was designed as a client-server architecture running on the Linux operating system and powered by the PostgreSQL data base system. The client software was developed in C using GTK interface library. The application offers to the users the following functions: medical notes captures, observations and treatments, nursing charts with administration of medications, scoring systems for classification, and possibilities to encode medical activities for billing processes. RESULTS: Since his deployment in February 2004, the PDMS was used to care more than three thousands patients with the expected software reliability and facilitated data management and review processes. Communications with other medical software were not developed from the start, and are realized by the use of the Mirth HL7 communication engine. Further upgrade of the system will include multi-platform support, use of typed language with static analysis, and configurable interface. CONCLUSION: The developed system based on open source software components was able to respond to the medical needs of the local ICU environment. The use of OSS for development allowed us to customize the software to the preexisting organization and contributed to the acceptability of the whole system.}, author = {Massaut, Jacques and Reper, Pascal} } @article {18366760, title = {OpenMS - an open-source software framework for mass spectrometry.}, journal = {BMC bioinformatics}, volume = {9}, year = {2008}, month = {2008}, pages = {163}, abstract = {BACKGROUND: Mass spectrometry is an essential analytical technique for high-throughput analysis in proteomics and metabolomics. The development of new separation techniques, precise mass analyzers and experimental protocols is a very active field of research. This leads to more complex experimental setups yielding ever increasing amounts of data. Consequently, analysis of the data is currently often the bottleneck for experimental studies. Although software tools for many data analysis tasks are available today, they are often hard to combine with each other or not flexible enough to allow for rapid prototyping of a new analysis workflow. RESULTS: We present OpenMS, a software framework for rapid application development in mass spectrometry. OpenMS has been designed to be portable, easy-to-use and robust while offering a rich functionality ranging from basic data structures to sophisticated algorithms for data analysis. This has already been demonstrated in several studies. CONCLUSION: OpenMS is available under the Lesser GNU Public License (LGPL) from the project website at http://www.openms.de.}, url = {http://www.biomedcentral.com/1471-2105/9/163}, author = {Sturm, Marc and Bertsch, Andreas and Gr{\"o}pl, Clemens and Hildebrandt, Andreas and Hussong, Rene and Lange, Eva and Pfeifer, Nico and Schulz-Trieglaff, Ole and Zerck, Alexandra and Reinert, Knut and Kohlbacher, Oliver} } @article {18570637, title = {OSPACS: Ultrasound image management system.}, journal = {Source code for biology and medicine}, volume = {3}, year = {2008}, month = {2008}, pages = {11}, abstract = {ABSTRACT: BACKGROUND: Ultrasound scanning uses the medical imaging format, DICOM, for electronically storing the images and data associated with a particular scan. Large health care facilities typically use a picture archiving and communication system (PACS) for storing and retrieving such images. However, these systems are usually not suitable for managing large collections of anonymized ultrasound images gathered during a clinical screening trial. RESULTS: We have developed a system enabling the accurate archiving and management of ultrasound images gathered during a clinical screening trial. It is based upon a Windows application utilizing an open-source DICOM image viewer and a relational database. The system automates the bulk import of DICOM files from removable media by cross-validating the patient information against an external database, anonymizing the data as well as the image, and then storing the contents of the file as a field in a database record. These image records may then be retrieved from the database and presented in a tree-view control so that the user can select particular images for display in a DICOM viewer or export them to external media. CONCLUSION: This system provides error-free automation of ultrasound image archiving and management, suitable for use in a clinical trial. An open-source project has been established to promote continued development of the system.}, url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2442597/}, author = {Stott, Will and Ryan, Andy and Jacobs, Ian J and Menon, Usha and Bessant, Conrad and Jones, Christopher} } @conference {782, title = {Remote Large Data Visualization in the ParaView Framework.}, booktitle = {EGPGV}, year = {2006}, publisher = {Eurographics Association}, organization = {Eurographics Association}, keywords = {dblp}, isbn = {3-905673-40-1}, url = {http://dblp.uni-trier.de/db/conf/egpgv/egpgv2006.html$\#$CedilnikGMAF06}, author = {Cedilnik, Andy and Geveci, Berk and Moreland, Kenneth and Ahrens, James P. and Favre, Jean M.}, editor = {Heirich, Alan and Raffin, Bruno and dos Santos, Lu{\'\i}s Paulo Peixoto} }