@article {1313, title = {Open-source electronic health record systems: A systematic review of most recent advances.}, journal = {Health Informatics J}, volume = {28}, year = {2022}, month = {2022 Apr-Jun}, pages = {14604582221099828}, abstract = {

Open-source Electronic Health Records (OS-EHRs) are of pivotal importance in the management, operations, and administration of any healthcare organization. With the advancement of health informatics, researchers and healthcare practitioners have proposed various frameworks to assess the maturation of Open-source EHRs. The significance of OS-EHRs stems from the fact that vendor-based EHR implementations are becoming financially burdensome, with some vendors raking in more than $1 billion with one contract. Contrarily, the adoption of OS-EHRs suffers from a lack of systematic evaluation from the standpoint of a standard reference model. To this end, the Healthcare Information and Management Systems Society (HIMSS) has presented a strategic road map called EMR Adoption and Maturity (EMRAM). The HIMSS-EMRAM model proposes a stage-wise model approach that is globally recognized and can be essentially applied as a benchmark evaluation criteria for open-source EHRs. This paper offers an applied descriptive methodology over the frequently studied open-source EHRs currently operational worldwide or has the potential of adoption in healthcare settings. Besides, we also present profiling (User Support, Developer{\textquoteright} Support, Customization Support, Technical details, and Diagnostic help) of studied OS-EHRs from developer{\textquoteright}s and user{\textquoteright}s perspectives using updated standard metrics. We carried out multi-aspect objective analysis of studied systems covering EHR functions, software based features and implementation. This review portrays systematic aspects of electronic medical record standards for open-source software implementations. As we observed in the literature, prevalent research and working prototypes lack systematic review of the HIMSS-EMRAM model and do not present evolving software features. Therefore, after the application of our assessment measures, the results obtained indicate that OS-EHRs are yet to acquire standard compliance and implementation. The findings in this paper can be beneficial in the planning and implementation of OS-EHRs projects in the future.

}, keywords = {electronic health records, Humans, Medical Informatics, Publications, Software}, issn = {1741-2811}, doi = {10.1177/14604582221099828}, author = {Shaikh, Mohsin and Vayani, Arshad Hm and Akram, Sabina and Qamar, Nafees} } @article {1301, title = {Use of cost-effective technologies for a routine clinical pathology laboratory}, journal = {Lab on a Chip}, year = {2021}, month = {2021}, pages = { - }, abstract = {Classically, the need for highly sophisticated instruments with important economic costs has been a major limiting factor for clinical pathology laboratories, especially in developing countries. With the aim of making clinical pathology more accessible, a wide variety of free or economical technologies have been developed worldwide in the last years. 3D printing and Arduino approaches can provide up to 94\% economical savings in hardware and instrumentation in comparison to commercial alternatives. The vast selection of Point-of-Care-Tests (POCT) currently available also limits the need for specific instruments or personnel, as they can be used almost anywhere and by anyone. Lastly, there are dozens of free and libre digital tools available in health informatics. This review provides an overview of the state-of-the-art on cost-effective alternatives with applications in routine clinical pathology laboratories. In this context, a variety of technologies including 3D printing and Arduino, lateral flow assays, plasmonic biosensors, and microfluidics, as well as laboratory information systems, are discussed. This review aims to serve as an introduction to different technologies that can make clinical pathology more accessible and, therefore, contribute to achieve universal health coverage.}, isbn = {1473-0197}, url = {http://dx.doi.org/10.1039/D1LC00658D}, author = {Vazquez, Mercedes and Anfossi, L. and Ben-Yoav, Hader and Di{\'e}guez, Lorena and Karopka, Thomas and Della Ventura, Bartolomeo and Abalde-Cela, Sara and Minopoli, Antonio and Di Nardo, Fabio and Kumar Shukla, Vikas and Teixeira, Alexandra and Tvarijonaviciute, Asta and Franco, Lorena} } @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 {1219, title = {Open Source HMIS Enabled Evaluation of Financial Burden of Disease and Patient Coverage in Three University Hospitals in Great Lakes Africa.}, journal = {Stud Health Technol Inform}, volume = {264}, year = {2019}, month = {2019 Aug 21}, pages = {969-973}, abstract = {

Since the eighties, case mix evaluation methods based on diagnosis-related groups (DRG) were gradually introduced in developed countries. These methods of assessing the costs of diseases to measure the productivity of the hospital have been introduced in management softwares that are not accessible to low-income countries. In this study, the authors applied these methods to an open source hospital management information system (HMIS) implemented in three university hospitals in Great Lakes Africa. A comparative study of the financial burden of five major diseases, monitored as part of a universal health coverage (UHC) analysis, was carried out. The level of coverage of patients in the hospitals was evaluated and the impact of UHC policies demonstrated. Although the financial protection of patients treated in the three hospitals had improved, HIV and tuberculosis treatments that ought to be free, remained a considerable financial burden for the patient.

}, issn = {1879-8365}, doi = {10.3233/SHTI190368}, author = {Karara, Gustave and Verbeke, Frank and Byiringiro, Jean-Claude and Nziza, Franck and Buyl, Ronald and Nyssen, Marc} } @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 {1287, title = {Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach.}, journal = {Sci Rep}, volume = {8}, year = {2018}, month = {2018 01 11}, pages = {538}, abstract = {

The detection of anatomical landmarks in bioimages is a necessary but tedious step for geometric morphometrics studies in many research domains. We propose variants of a multi-resolution tree-based approach to speed-up the detection of landmarks in bioimages. We extensively evaluate our method variants on three different datasets (cephalometric, zebrafish, and drosophila images). We identify the key method parameters (notably the multi-resolution) and report results with respect to human ground truths and existing methods. Our method achieves recognition performances competitive with current existing approaches while being generic and fast. The algorithms are integrated in the open-source Cytomine software and we provide parameter configuration guidelines so that they can be easily exploited by end-users. Finally, datasets are readily available through a Cytomine server to foster future research.

}, keywords = {Algorithms, Animals, Body Weights and Measures, Drosophila, Humans, Image Processing, Computer-Assisted, Software, Zebrafish}, issn = {2045-2322}, doi = {10.1038/s41598-017-18993-5}, author = {Vandaele, R{\'e}my and Aceto, Jessica and Muller, Marc and P{\'e}ronnet, Fr{\'e}d{\'e}rique and Debat, Vincent and Wang, Ching-Wei and Huang, Cheng-Ta and Jodogne, S{\'e}bastien and Martinive, Philippe and Geurts, Pierre and Mar{\'e}e, Rapha{\"e}l} } @article {1224, title = {Towards Implementation of OMOP in a German University Hospital Consortium.}, journal = {Appl Clin Inform}, volume = {9}, year = {2018}, month = {2018 01}, pages = {54-61}, abstract = {

BACKGROUND: In 2015, the German Federal Ministry of Education and Research initiated a large data integration and data sharing research initiative to improve the reuse of data from patient care and translational research. The Observational Medical Outcomes Partnership (OMOP) common data model and the Observational Health Data Sciences and Informatics (OHDSI) tools could be used as a core element in this initiative for harmonizing the terminologies used as well as facilitating the federation of research analyses across institutions.

OBJECTIVE: To realize an OMOP/OHDSI-based pilot implementation within a consortium of eight German university hospitals, evaluate the applicability to support data harmonization and sharing among them, and identify potential enhancement requirements.

METHODS: The vocabularies and terminological mapping required for importing the fact data were prepared, and the process for importing the data from the source files was designed. For eight German university hospitals, a virtual machine preconfigured with the OMOP database and the OHDSI tools as well as the jobs to import the data and conduct the analysis was provided. Last, a federated/distributed query to test the approach was executed.

RESULTS: While the mapping of ICD-10 German Modification succeeded with a rate of 98.8\% of all terms for diagnoses, the procedures could not be mapped and hence an extension to the OMOP standard terminologies had to be made.Overall, the data of 3 million inpatients with approximately 26 million conditions, 21 million procedures, and 23 million observations have been imported.A federated query to identify a cohort of colorectal cancer patients was successfully executed and yielded 16,701 patient cases visualized in a Sunburst plot.

CONCLUSION: OMOP/OHDSI is a viable open source solution for data integration in a German research consortium. Once the terminology problems can be solved, researchers can build on an active community for further development.

}, keywords = {Cooperative Behavior, Germany, Health Plan Implementation, Hospitals, University, Humans, Outcome Assessment (Health Care), Surveys and Questionnaires, Vocabulary}, issn = {1869-0327}, doi = {10.1055/s-0037-1617452}, author = {Maier, C and Lang, L and Storf, H and Vormstein, P and Bieber, R and Bernarding, J and Herrmann, T and Haverkamp, C and Horki, P and Laufer, J and Berger, F and H{\"o}ning, G and Fritsch, H W and Sch{\"u}ttler, J and Ganslandt, T and Prokosch, H U and Sedlmayr, M} } @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 {1294, title = {How the introduction of a human resources information system helped the Democratic Republic of Congo to mobilise domestic resources for an improved health workforce.}, journal = {Health Policy Plan}, volume = {32}, year = {2017}, month = {2017 Nov 01}, pages = {iii25-iii31}, abstract = {

The Democratic Republic of Congo has flagged health workforce management and compensation as issues requiring attention, including the problem of ghost workers (individuals on payroll who do not exist and/or show up at work). Recognising the need for reliable health workforce information, the government has worked to implement iHRIS, an open source human resources information system that facilitates health workforce management. In Kasa{\"\i} Central and Kasa{\"\i} Provinces, health workers brought relevant documentation to data collection points, where trained teams interviewed them and entered contact information, identification, photo, current job, and employment and education history into iHRIS on laptops. After uploading the data, the Ministry of Public Health used the database of over 11 500 verified health worker records to analyse health worker characteristics, density, compensation, and payroll. Both provinces had less than one physician per 10 000 population and a higher urban versus rural health worker density. Most iHRIS-registered health workers (57\% in Kasa{\"\i} Central and 73\% in Kasa{\"\i}) reported receiving no regular government pay of any kind (salaries or risk allowances). Payroll analysis showed that 27\% of the health workers listed as salary recipients in the electronic payroll system were ghost workers, as were 42\% of risk allowance recipients. As a result, the Ministries of Public Health, Public Service, and Finance reallocated funds away from ghost workers to cover salaries (n = 781) and risk allowances (n = 2613) for thousands of health workers who were previously under- or uncompensated due to lack of funds. The reallocation prioritised previously under- or uncompensated mid-level health workers, with 49\% of those receiving salaries and 68\% of those receiving risk allowances representing cadres such as nurses, laboratory technicians, and midwifery cadres. Assembling accurate health worker records can help governments understand health workforce characteristics and use data to direct scarce domestic resources to where they are most needed.

}, keywords = {Democratic Republic of the Congo, Health Personnel, Health Workforce, Humans, Management Information Systems, Personnel Management, Remuneration}, issn = {1460-2237}, doi = {10.1093/heapol/czx113}, author = {Likofata Esanga, Jean-Robert and Viadro, Claire and McManus, Leah and Wesson, Jennifer and Matoko, Nicaise and Ngumbu, Epiphane and Gilroy, Kate E and Trudeau, Daren} } @article {1285, title = {Long-Term Outcomes of Aflibercept Treatment for Neovascular Age-Related Macular Degeneration in a Clinical Setting.}, journal = {Am J Ophthalmol}, volume = {174}, year = {2017}, month = {2017 Feb}, pages = {160-168}, abstract = {

PURPOSE: To report 2-year treatment outcomes with intravitreal aflibercept for neovascular age-related macular degeneration (nAMD) in routine clinical practice.

DESIGN: Retrospective, nonrandomized, interventional case series.

METHODS: Retrospective analysis of electronic medical record (EMR) notes (OpenEyes) and paper case notes and review of spectral-domain optical coherence tomography (SDOCT) imaging of patients with consecutively treated eyes with previously untreated nAMD. Patients were commenced on aflibercept injections in 1 or both eyes from October 1, 2013 to December 31, 2013. Data including age, sex, visual acuity (VA) measured on Early Treatment Diabetic Retinopathy Study charts, injection episodes, and complications were recorded. Additionally, SDOCT data, including presence or absence of macular fluid and automated central subfield macular thickness (CSMT) at year 1 and 2, were recorded.

RESULTS: Of the 109 eyes of 102 patients treated, data from 94 eyes of 88 patients were available at 2-year follow-up (86\% of patients). In the analysis of 2-year outcomes, there were 58 women (65.9\%); the mean ({\textpm} standard deviation) age was 77.5 {\textpm} 8 years. Over the 2 years, these eyes received a median of 12 (mean, 11.4 {\textpm} 4) injections at a median of 100 (mean, 99.3 {\textpm} 5.3) weeks of follow-up. The mean VA changed from 55.9 {\textpm} 15 letters at baseline to 61.3 {\textpm} 16.9 letters (VA gain 5.4 letters) at 1 year and to 61 {\textpm} 17.1 letters (VA gain 5.1 {\textpm} 14.9 letters) at 2 years. The reduction in CSMT was 79~μm with absence of macular fluid in 72.7\% of the 88 eyes with SDOCT data available at 2-year follow-up.

CONCLUSIONS: The VA and SDOCT results compare favorably with outcomes seen in randomized controlled trials. The results suggest that good long-term outcomes can be achieved using aflibercept for nAMD in clinical settings.

}, keywords = {Aged, Dose-Response Relationship, Drug, Female, Fluorescein Angiography, Follow-Up Studies, Fundus Oculi, Humans, Intravitreal Injections, Macula Lutea, Macular Degeneration, Male, Receptors, Vascular Endothelial Growth Factor, Recombinant Fusion Proteins, Retinal Neovascularization, Retrospective Studies, Time Factors, Tomography, Optical Coherence, Treatment Outcome, Visual Acuity}, issn = {1879-1891}, doi = {10.1016/j.ajo.2016.09.038}, author = {Eleftheriadou, Maria and Vazquez-Alfageme, Clara and Citu, Cristina Maria and Crosby-Nwaobi, Roxanne and Sivaprasad, Sobha and Hykin, Philip and Hamilton, Robin D and Patel, Praveen J} } @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 {1202, title = {Open-source mobile digital platform for clinical trial data collection in low-resource settings}, journal = {BMJ innovations}, volume = {3}, year = {2017}, pages = {26{\textendash}31}, abstract = {BACKGROUND: Governments, universities and pan-African research networks are building durable infrastructure and capabilities for biomedical research in Africa. This offers the opportunity to adopt from the outset innovative approaches and technologies that would be challenging to retrofit into fully established research infrastructures such as those regularly found in high-income countries. In this context we piloted the use of a novel mobile digital health platform, designed specifically for low-resource environments, to support high-quality data collection in a clinical research study. OBJECTIVE: Our primary aim was to assess the feasibility of a using a mobile digital platform for clinical trial data collection in a low-resource setting. Secondarily, we sought to explore the potential benefits of such an approach. METHODS: The investigative site was a research institute in Nairobi, Kenya. We integrated an open-source platform for mobile data collection commonly used in the developing world with an open-source, standard platform for electronic data capture in clinical trials. The integration was developed using common data standards (Clinical Data Interchange Standards Consortium (CDISC) Operational Data Model), maximising the potential to extend the approach to other platforms. The system was deployed in a pharmacokinetic study involving healthy human volunteers. RESULTS: The electronic data collection platform successfully supported conduct of the study. Multidisciplinary users reported high levels of satisfaction with the mobile application and highlighted substantial advantages when compared with traditional paper record systems. The new system also demonstrated a potential for expediting data quality review. DISCUSSION AND CONCLUSIONS: This pilot study demonstrated the feasibility of using a mobile digital platform for clinical research data collection in low-resource settings. Sustainable scientific capabilities and infrastructure are essential to attract and support clinical research studies. Since many research structures in Africa are being developed anew, stakeholders should consider implementing innovative technologies and approaches.}, keywords = {clinical research, eSource, Global Health, mHealth, Reverse Innovations}, issn = {2055-642X}, doi = {10.1136/bmjinnov-2016-000164}, author = {van Dam, Joris and Omondi Onyango, Kevin and Midamba, Brian and Groosman, Nele and Hooper, Norman and Spector, Jonathan and Pillai, Goonaseelan Colin and Ogutu, Bernhards} } @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 {1130, title = {Development of an open technology sensor suite for assisted living: a student-led research project.}, journal = {Interface Focus}, volume = {6}, year = {2016}, month = {2016 Aug 6}, pages = {20160018}, abstract = {

Many countries have a rapidly ageing population, placing strain on health services and creating a growing market for assistive technology for older people. We have, through a student-led, 12-week project for 10 students from a variety of science and engineering backgrounds, developed an integrated sensor system to enable older people, or those at risk, to live independently in their own homes for longer, while providing reassurance for their family and carers. We provide details on the design procedure and performance of our sensor system and the management and execution of a short-term, student-led research project. Detailed information on the design and use of our devices, including a door sensor, power monitor, fall detector, general in-house sensor unit and easy-to-use location-aware communications device, is given, with our open designs being contrasted with closed proprietary systems. A case study is presented for the use of our devices in a real-world context, along with a comparison with commercially available systems. We discuss how the system could lead to improvements in the quality of life of older users and increase the effectiveness of their associated care network. We reflect on how recent developments in open source technology and rapid prototyping increase the scope and potential for the development of powerful sensor systems and, finally, conclude with a student perspective on this team effort and highlight learning outcomes, arguing that open technologies will revolutionize the way in which technology will be deployed in academic research in the future.

}, issn = {2042-8898}, doi = {10.1098/rsfs.2016.0018}, author = {Manton, James D and Hughes, Josephine A E and Bonner, Oliver and Amjad, Omar A and Mair, Philip and Miele, Isabella and Wang, Tiesheng and Levdik, Vitaly and Hall, Richard D and Baekelandt, G{\'e}raldine and Vasconcellos, Fernando da Cruz and Hadeler, Oliver and Hutter, Tanya and Kaminski, Clemens F} } @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 {1149, title = {Open Source Platform for Collaborative Construction of Wearable Sensor Datasets for Human Motion Analysis and an Application for Gait Analysis.}, journal = {J Biomed Inform}, year = {2016}, month = {2016 Sep 1}, abstract = {

Nearly every practical improvement in modelling human motion is well founded in a properly designed collection of data or datasets. These datasets must be made publicly available for the community could validate and accept them. It is reasonable to concede that a collective, guided enterprise could serve to devise solid and substantial datasets, as a result of a collaborative effort, in the same sense as the open software community does. In this way datasets could be complemented, extended and expanded in size with, for example, more individuals, samples and human actions. For this to be possible some commitments must be made by the collaborators, being one of them sharing the same data acquisition platform. In this paper, we offer an affordable open source hardware and software platform based on inertial wearable sensors in a way that several groups could cooperate in the construction of datasets through common software suitable for collaboration. Some experimental results about the throughput of the overall system are reported showing the feasibility of acquiring data from up to 6 sensors with a sampling frequency no less than 118Hz. Also, a proof-of-concept dataset is provided comprising sampled data from 12 subjects suitable for gait analysis.

}, issn = {1532-0480}, doi = {10.1016/j.jbi.2016.08.025}, author = {Llamas, C{\'e}sar and Gonz{\'a}lez, Manuel A and Hern{\'a}ndez, C{\'a}rmen and Vegas, Jes{\'u}s} } @article {1161, title = {Reliability of infarct volumetry: {Its} relevance and the improvement by a software-assisted approach}, journal = {Journal of Cerebral Blood Flow and Metabolism: Official Journal of the International Society of Cerebral Blood Flow and Metabolism}, year = {2016}, abstract = {Despite the efficacy of neuroprotective approaches in animal models of stroke, their translation has so far failed from bench to bedside. One reason is presumed to be a low quality of preclinical study design, leading to bias and a low a priori power. In this study, we propose that the key read-out of experimental stroke studies, the volume of the ischemic damage as commonly measured by free-handed planimetry of TTC-stained brain sections, is subject to an unrecognized low inter-rater and test-retest reliability with strong implications for statistical power and bias. As an alternative approach, we suggest a simple, open-source, software-assisted method, taking advantage of automatic-thresholding techniques. The validity and the improvement of reliability by an automated method to tMCAO infarct volumetry are demonstrated. In addition, we show the probable consequences of increased reliability for precision, p-values, effect inflation, and power calculation, exemplified by a systematic analysis of experimental stroke studies published in the year 2015. Our study reveals an underappreciated quality problem in translational stroke research and suggests that software-assisted infarct volumetry might help to improve reproducibility and therefore the robustness of bench to bedside translation.}, keywords = {experimental stroke, Image analysis, middle cerebral artery occlusion, Neuroprotection, power}, issn = {1559-7016}, doi = {10.1177/0271678X16681311}, author = {Friedl{\"a}nder, Felix and Bohmann, Ferdinand and Brunkhorst, Max and Chae, Ju-Hee and Devraj, Kavi and K{\"o}hler, Yvette and Kraft, Peter and Kuhn, Hannah and Lucaciu, Alexandra and Luger, Sebastian and Pfeilschifter, Waltraud and Sadler, Rebecca and Liesz, Arthur and Scholtyschik, Karolina and Stolz, Leonie and Vutukuri, Rajkumar and Brunkhorst, Robert} } @article {977, title = {Implementation, reliability, and feasibility test of an Open-Source PACS.}, journal = {Radiol Med}, year = {2015}, month = {2015 Jun 19}, abstract = {

PURPOSE: To implement a hardware and software system able to perform the major functions of an Open-Source PACS, and to analyze it in a simulated real-world environment.

MATERIALS AND METHODS: A small home network was implemented, and the Open-Source operating system Ubuntu 11.10 was installed in a laptop containing the Dcm4chee suite with the software devices needed.

RESULTS: The Open-Source PACS implemented is compatible with Linux OS, Microsoft OS, and Mac OS X; furthermore, it was used with operating systems that guarantee the operation in portable devices (smartphone, tablet) Android and iOS.

CONCLUSIONS: An OSS PACS is useful for making tutorials and workshops on post-processing techniques for educational and training purposes.

}, issn = {1826-6983}, doi = {10.1007/s11547-015-0560-y}, author = {Valeri, Gianluca and Zuccaccia, Matteo and Badaloni, Andrea and Ciriaci, Damiano and La Riccia, Luigi and Mazzoni, Giovanni and Maggi, Stefania and Giovagnoni, Andrea} } @article {985, title = {Open source libraries and frameworks for biological data visualisation: a guide for developers.}, journal = {Proteomics}, volume = {15}, year = {2015}, month = {2015 Apr}, pages = {1356-74}, abstract = {

Recent advances in high-throughput experimental techniques have led to an exponential increase in both the size and the complexity of the data sets commonly studied in biology. Data visualisation is increasingly used as the key to unlock this data, going from hypothesis generation to model evaluation and tool implementation. It is becoming more and more the heart of bioinformatics workflows, enabling scientists to reason and communicate more effectively. In parallel, there has been a corresponding trend towards the development of related software, which has triggered the maturation of different visualisation libraries and frameworks. For bioinformaticians, scientific programmers and software developers, the main challenge is to pick out the most fitting one(s) to create clear, meaningful and integrated data visualisation for their particular use cases. In this review, we introduce a collection of open source or free to use libraries and frameworks for creating data visualisation, covering the generation of a wide variety of charts and graphs. We will focus on software written in Java, JavaScript or Python. We truly believe this software offers the potential to turn tedious data into exciting visual stories.

}, issn = {1615-9861}, doi = {10.1002/pmic.201400377}, author = {Wang, Rui and Perez-Riverol, Yasset and Hermjakob, Henning and Vizca{\'\i}no, Juan Antonio} } @article {993, title = {Open Source Software For Patient Data Management In Critical Care.}, journal = {Stud Health Technol Inform}, volume = {216}, year = {2015}, month = {2015}, pages = {920}, abstract = {

We have previously developed a Patient Data Management System for Intensive Care based on Open Source Software. The aim of this work was to adapt this software to use in Emergency Departments in low resource environments. The new software includes facilities for utilization of the South African Triage Scale and prediction of mortality based on independent predictive factors derived from data from the Tabarre Emergency Trauma Center in Port au Prince, Haiti.

}, issn = {0926-9630}, author = {Massaut, Jacques and Charretk, Nicolas and Gayraud, Olivia and Van Den Bergh, Rafael and Charles, Adelin and Edema, Nathalie} } @article {987, title = {Open source software in a practical approach for post processing of radiologic images.}, journal = {Radiol Med}, volume = {120}, year = {2015}, month = {2015 Mar}, pages = {309-23}, abstract = {

PURPOSE: The purpose of this paper is to evaluate the use of open source software (OSS) to process DICOM images.

MATERIALS AND METHODS: We selected 23 programs for Windows and 20 programs for Mac from 150 possible OSS programs including DICOM viewers and various tools (converters, DICOM header editors, etc.). The programs selected all meet the basic requirements such as free availability, stand-alone application, presence of graphical user interface, ease of installation and advanced features beyond simple display monitor. Capabilities of data import, data export, metadata, 2D viewer, 3D viewer, support platform and usability of each selected program were evaluated on a scale ranging from 1 to 10 points.

RESULTS: Twelve programs received a score higher than or equal to eight. Among them, five obtained a score of 9: 3D Slicer, MedINRIA, MITK 3M3, VolView, VR Render; while OsiriX received 10.

CONCLUSIONS: OsiriX appears to be the only program able to perform all the operations taken into consideration, similar to a workstation equipped with proprietary software, allowing the analysis and interpretation of images in a simple and intuitive way. OsiriX is a DICOM PACS workstation for medical imaging and software for image processing for medical research, functional imaging, 3D imaging, confocal microscopy and molecular imaging. This application is also a good tool for teaching activities because it facilitates the attainment of learning objectives among students and other specialists.

}, keywords = {Diagnostic Imaging, Humans, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Radiology Information Systems, Reproducibility of Results, Sensitivity and Specificity, Software, Software Validation, User-Computer Interface}, issn = {1826-6983}, doi = {10.1007/s11547-014-0437-5}, author = {Valeri, Gianluca and Mazza, Francesco Antonino and Maggi, Stefania and Aramini, Daniele and La Riccia, Luigi and Mazzoni, Giovanni and Giovagnoni, Andrea} } @article {1045, title = {The Role of Hospital Information Systems in Universal Health Coverage Monitoring in Rwanda.}, journal = {Stud Health Technol Inform}, volume = {216}, year = {2015}, month = {2015}, pages = {193-7}, abstract = {

In this retrospective study, the authors monitored the patient health coverage in 6 Rwandan hospitals in the period between 2011 and 2014. Among the 6 hospitals, 2 are third level hospitals, 2 district hospitals and 2 private hospitals. Patient insurance and financial data were extracted and analyzed from OpenClinic GA, an open source hospital information system (HIS) used in those 6 hospitals. The percentage of patients who had no health insurer globally decreased from 35\% in 2011 to 15\% in 2014. The rate of health insurance coverage in hospitals varied between 75\% in private hospitals and 84\% in public hospitals. The amounts paid by the patients for health services decreased in private hospitals to 25\% of the total costs in 2014 (-7.4\%) and vary between 14\% and 19\% in public hospitals. Although the number of insured patients has increased and the patient share decreased over the four years of study, the patients{\textquoteright} out-of-pocket payments increased especially for in-patients. This study emphasizes the value of integrated hospital information systems for this kind of health economics research in developing countries.

}, issn = {0926-9630}, author = {Karara, Gustave and Verbeke, Frank and Nyssen, Marc} } @article {1064, title = {Software to Facilitate Remote Sensing Data Access for Disease Early Warning Systems.}, journal = {Environ Model Softw}, volume = {74}, year = {2015}, month = {2015 Dec 1}, pages = {247-257}, abstract = {

Satellite remote sensing produces an abundance of environmental data that can be used in the study of human health. To support the development of early warning systems for mosquito-borne diseases, we developed an open-source, client based software application to enable the Epidemiological Applications of Spatial Technologies (EASTWeb). Two major design decisions were full automation of the discovery, retrieval and processing of remote sensing data from multiple sources, and making the system easily modifiable in response to changes in data availability and user needs. Key innovations that helped to achieve these goals were the implementation of a software framework for data downloading and the design of a scheduler that tracks the complex dependencies among multiple data processing tasks and makes the system resilient to external errors. EASTWeb has been successfully applied to support forecasting of West Nile virus outbreaks in the United States and malaria epidemics in the Ethiopian highlands.

}, issn = {1364-8152}, doi = {10.1016/j.envsoft.2015.07.006}, author = {Liu, Yi and Hu, Jiameng and Snell-Feikema, Isaiah and VanBemmel, Michael S and Lamsal, Aashis and Wimberly, Michael C} } @article {946, title = {An Albanian open source telemedicine platform.}, journal = {Telemed J E Health}, volume = {20}, year = {2014}, month = {2014 Jul}, pages = {673-7}, abstract = {

INTRODUCTION: The use of open source technologies to create collaboration platforms can produce huge advantages with small investment.

MATERIALS AND METHODS: We set up a telemedicine network for a healthcare district with typical centralization issues of developing countries. Our network was built using broadband Internet connection, and the digital divide in rural areas was reduced by means of wireless Internet connection. A software infrastructure was deployed on the network to implement the collaboration platform among different healthcare facilities.

RESULTS: We obtained an integrated platform with modest investment in hardware and operating systems and no costs for application software. Messaging, content management, information sharing, and videoconferencing are among the available services of the infrastructure. Furthermore, open source software is managed and continuously updated by active communities, making it possible to obtain systems similar to commercial ones in terms of quality and reliability.

CONCLUSIONS: As the use of free software in public administration is being widely promoted across the European Union, our experience may provide an example to implement similar infrastructures in the field of healthcare and welfare.

}, issn = {1556-3669}, doi = {10.1089/tmj.2013.0239}, author = {Zangara, Gianluca and Valentino, Francesca and Spinelli, Gaetano and Valenza, Mario and Marcheggiani, Angelo and Di Blasi, Francesco} } @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 {865, title = {GBM volumetry using the 3D Slicer medical image computing platform.}, journal = {Sci Rep}, volume = {3}, year = {2013}, month = {2013}, pages = {1364}, abstract = {

Volumetric change in glioblastoma multiforme (GBM) over time is a critical factor in treatment decisions. Typically, the tumor volume is computed on a slice-by-slice basis using MRI scans obtained at regular intervals. (3D)Slicer - a free platform for biomedical research - provides an alternative to this manual slice-by-slice segmentation process, which is significantly faster and requires less user interaction. In this study, 4 physicians segmented GBMs in 10 patients, once using the competitive region-growing based GrowCut segmentation module of Slicer, and once purely by drawing boundaries completely manually on a slice-by-slice basis. Furthermore, we provide a variability analysis for three physicians for 12 GBMs. The time required for GrowCut segmentation was on an average 61\% of the time required for a pure manual segmentation. A comparison of Slicer-based segmentation with manual slice-by-slice segmentation resulted in a Dice Similarity Coefficient of 88.43 {\textpm} 5.23\% and a Hausdorff Distance of 2.32 {\textpm} 5.23 mm.

}, issn = {2045-2322}, doi = {10.1038/srep01364}, author = {Egger, Jan and Kapur, Tina and Fedorov, Andriy and Pieper, Steve and Miller, James V and Veeraraghavan, Harini and Freisleben, Bernd and Golby, Alexandra J and Nimsky, Christopher and Kikinis, Ron} } @article {1011, title = {Informatics lessons from using a novel immunization information system.}, journal = {Stud Health Technol Inform}, volume = {192}, year = {2013}, month = {2013}, pages = {589-93}, abstract = {

In the 1990s, NewYork-Presbyterian Hospital began developing a comprehensive, standards-based immunization information system. The system, known as EzVac, has been operational since 1998 and now includes information on 2 million immunizations administered to more than 260,000 individuals. The system exchanges data with multiple electronic health records, a public health immunization registry, and a standalone personal health record. EzVac modules have recently been incorporated into the OpenMRS application and are being used to enhance immunization efforts in developing nations. We report on our experience with developing and using the EzVac system for 1) clinical care, both in local and global settings, 2) public health reporting, 3) consumer engagement, and 4) clinical and informatics research. We emphasize the advantages of using health IT standards to facilitate immunization information exchange in each of these domains.

}, keywords = {electronic health records, Health Information Management, Immunization, Internet, Medical Record Linkage, New York, Registries, Software}, issn = {0926-9630}, author = {Vawdrey, David K and Natarajan, Karthik and Kanter, Andrew S and Hripcsak, George and Kuperman, Gilad J and Stockwell, Melissa S} } @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 {813, title = {ADDIS: a decision support system for evidence-based medicine}, journal = {Decision Support Systems}, volume = {in press}, year = {2012}, abstract = {Clinical trials are the main source of information for the efficacy and safety evaluation of medical treatments. Al- though they are of pivotal importance in evidence-based medicine, there is a lack of usable information systems providing data-analysis and decision support capabilities for aggregate clinical trial results. This is partly caused by unavailability (i) of trial data in a structured format suitable for re-analysis, and (ii) of a complete data model for ag- gregate level results. In this paper, we develop a unifying data model that enables the development of evidence-based decision support in the absence of a complete data model. We describe the supported decision processes and show how these are implemented in the open source ADDIS software. ADDIS enables semi-automated construction of meta-analyses, network meta-analyses and benefit-risk decision models, and provides visualization of all results.}, keywords = {clinicaltrial, datamodel, decisionanalysis, Evidence-basedmedicine, evidencesynthesis}, doi = {10.1016/j.dss.2012.10.005}, author = {van Valkenhoef, G. and Tervonen, T. and Zwinkels, T. and de Brock, B. and Hillege, H.} } @booklet {814, title = {ADDIS: an automated way to do network meta-analysis}, year = {2012}, author = {Zhao, J. and van Valkenhoef, G. and de Brock, B. and Hillege, H.} } @article {827, title = {Code Sharing is Associated with Research Impact in Image Processing}, journal = {IEEE Computing in Science and Engineering}, year = {2012}, month = {April}, abstract = {In computational sciences such as image processing, the publication itself is often not enough to allow other researchers to verify the results by repeating the described experiments. In many cases, supplementary material such as source code and measurement data are required, or can at least be very helpful. Still, only approximately 10\% of recently published papers in image processing have code available online. One of the arguments for not making code available is the extra time required to prepare the material. In this paper, we claim that this additional time may be well spent, as the availability of code for a publication is associated with an increase in the expected number of citations. We show this with exploratory analyses of the relationship between code availability and the number of citations for image processing papers.}, url = {http://rr.epfl.ch/37/}, author = {Patrick Vandewalle} } @article {797, title = {Deformable three-dimensional model architecture for interactive augmented reality in minimally invasive surgery.}, journal = {Surg Endosc}, year = {2012}, month = {2012 Jun 27}, abstract = {BACKGROUND: Surgical procedures have undergone considerable advancement during the last few decades. More recently, the availability of some imaging methods intraoperatively has added a new dimension to minimally invasive techniques. Augmented reality in surgery has been a topic of intense interest and research. METHODS: Augmented reality involves usage of computer vision algorithms on video from endoscopic cameras or cameras mounted in the operating room to provide the surgeon additional information that he or she otherwise would have to recognize intuitively. One of the techniques combines a virtual preoperative model of the patient with the endoscope camera using natural or artificial landmarks to provide an augmented reality view in the operating room. The authors{\textquoteright} approach is to provide this with the least number of changes to the operating room. Software architecture is presented to provide interactive adjustment in the registration of a three-dimensional (3D) model and endoscope video. RESULTS: Augmented reality including adrenalectomy, ureteropelvic junction obstruction, and retrocaval ureter and pancreas was used to perform 12 surgeries. The general feedback from the surgeons has been very positive not only in terms of deciding the positions for inserting points but also in knowing the least change in anatomy. CONCLUSIONS: The approach involves providing a deformable 3D model architecture and its application to the operating room. A 3D model with a deformable structure is needed to show the shape change of soft tissue during the surgery. The software architecture to provide interactive adjustment in registration of the 3D model and endoscope video with adjustability of every 3D model is presented.}, issn = {1432-2218}, doi = {10.1007/s00464-012-2395-0}, author = {Vemuri, Anant S and Wu, Jungle Chi-Hsiang and Liu, Kai-Che and Wu, Hurng-Sheng} } @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 {888, title = {The use and role of open source software applications in public and not-for-profit hospitals in the United States.}, journal = {Health Care Manage Rev}, year = {2012}, month = {2012 Oct 31}, abstract = {

BACKGROUND:: The potential cost savings and customizability of open source software (OSS) may be particularly attractive for hospitals. However, numerous health-care-specific OSS applications exist, the adoption of OSS health information technology (HIT) applications is not widespread in the United States. PURPOSE:: This disconnect between the availability of promising software and low adoption raises the basic question: If OSS HIT is so advantageous, why are more health care organizations not using it? METHODOLOGY:: We interviewed the chief information officer, or equivalent position, at 17 not-for-profit and public hospitals across the United States. Through targeted recruitment, our sample included nine hospitals using OSS HIT and eight hospitals not using OSS HIT. The open-ended interview questions were guided by domains included in the fit-viability theory, an organizational-level innovation adoption framework, and those suggested by a review of the literature. Transcripts were analyzed using an inductive and comparative approach, which involved an open coding for relevant themes. FINDINGS:: Interviews described the state of OSS use in hospitals. Specifically, general OSS applications were widely used by IT professionals. In addition, hospitals using OSS HIT still relied heavily on vendor support. In terms of why decisions arose to use OSS HIT, several hospitals using OSS HIT noted the cost advantages. In contrast, hospitals avoiding OSS HIT were clear, OSS as a class did not fit with clinical work and posed too much risk. PRACTICE IMPLICATIONS:: Perceptions of OSS HIT ranged from enthusiastic embracement to resigned adoption, to refusal, to abandonment. Some organizations were achieving success with their OSS HIT choices, but they still relied on vendors for significant support. The decision to adopt OSS HIT was not uniform but contingent upon views of the risk posed by the technology, economic factors, and the hospital{\textquoteright}s existing capabilities.

}, issn = {1550-5030}, doi = {10.1097/HMR.0b013e318276f9ed}, author = {Vest, Joshua R and Stephens, James H} } @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 {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 {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 {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 {20663165, title = {Heterogeneity prevails: the state of clinical trial data management in Europe - results of a survey of ECRIN centres.}, journal = {Trials}, volume = {11}, year = {2010}, month = {2010 Jul 21}, pages = {79}, abstract = {ABSTRACT: BACKGROUND: The use of Clinical Data Management Systems (CDMS) has become essential in clinical trials to handle the increasing amount of data that must be collected and analyzed. With a CDMS trial data are captured at investigator sites with "electronic Case Report Forms". Although more and more of these electronic data management systems are used in academic research centres an overview of CDMS products and of available data management and quality management resources for academic clinical trials in Europe is missing. METHODS: The ECRIN (European Clinical Research Infrastructure Network) data management working group conducted a two-part standardized survey on data management, software tools, and quality management for clinical trials. The questionnaires were answered by nearly 80 centres / units (with an overall response rate of 47\% and 43\%) from 12 European countries and EORTC. RESULTS: Our survey shows that about 90\% of centres have a CDMS in routine use. Of these CDMS nearly 50\% are commercial systems; Open Source solutions don{\textquoteright}t play a major role. In general, solutions used for clinical data management are very heterogeneous: 20 different commercial CDMS products (7 Open Source solutions) in addition to 17/18 proprietary systems are in use. The most widely employed CDMS products are MACRO TM and Capture System TM, followed by solutions that are used in at least 3 centres: eResearch Network TM, CleanWeb TM, GCP Base TM and SAS TM. Although quality management systems for data management are in place in most centres / units, there exist some deficits in the area of system validation. CONCLUSIONS: Because the considerable heterogeneity of data management software solutions may be a hindrance to cooperation based on trial data exchange, standards like CDISC (Clinical Data Interchange Standard Consortium) should be implemented more widely. In a heterogeneous environment the use of data standards can simplify data exchange, increase the quality of data and prepare centres for new developments (e.g. the use of EHR for clinical research). Because data management and the use of electronic data capture systems in clinical trials are characterized by the impact of regulations and guidelines, ethical concerns are discussed. In this context quality management becomes an important part of compliant data management. To address these issues ECRIN will establish certified data centres to support electronic data management and associated compliance needs of clinical trial centres in Europe.}, url = {http://www.trialsjournal.com/content/11/1/79}, author = {Kuchinke, Wolfgang and Ohmann, Christian and Yang, Qin and Salas, Nader and Lauritsen, Jens and Gueyffier, Francois and Leizorovicz, Alan and Schade-Brittinger, Carmen and Wittenberg, Michael and Voko, Zoltan and Gaynor, Siobhan and Cooney, Margaret and Doran, Peter and Maggioni, Aldo and Lorimer, Andrea and Torres, Ferran and McPherson, Gladys and Charvill, Jim and Hellstrom, Mats and Lejeune, Stephane} } @article {1054, title = {How informatics can potentiate precompetitive open-source collaboration to jump-start drug discovery and development.}, journal = {Clin Pharmacol Ther}, volume = {87}, year = {2010}, month = {2010 May}, pages = {614-6}, keywords = {Animals, Cooperative Behavior, Drug Discovery, Drug Industry, Economic Competition, Humans, Informatics, Information Dissemination}, issn = {1532-6535}, doi = {10.1038/clpt.2010.21}, author = {Perakslis, E D and Van Dam, J and Szalma, S} } @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} } @inbook {springerlink:10.1007/978-3-642-12197-5_85, title = {rtMEG: A Real-Time Software Toolbox for Brain-Machine Interfaces Using Magnetoencephelography}, booktitle = {17th International Conference on Biomagnetism Advances in Biomagnetism {\textendash} Biomag2010}, series = {IFMBE Proceedings}, volume = {28}, year = {2010}, note = {10.1007/978-3-642-12197-5_85}, pages = {362-365}, publisher = {Springer Berlin Heidelberg}, organization = {Springer Berlin Heidelberg}, isbn = {978-3-642-12197-5}, url = {http://dx.doi.org/10.1007/978-3-642-12197-5_85}, author = {Sudre, Gustavo and Wang, Wei and Song, Tao and Kajola, Matti and Vinjamuri, Ramana and Collinger, Jennifer and Degenhart, Alan and Bagic, Anto and Weber, Doug J.}, editor = {Magjarevic, R. and Nagel, J. H. and Supek, Selma and Su{\v s}ac, Ana} } @article {20044607, title = {Image analysis of breast cancer immunohistochemistry-stained sections using ImageJ: an RGB-based model.}, journal = {Anticancer research}, volume = {29}, year = {2009}, month = {2009 Dec}, pages = {4995-8}, abstract = {BACKGROUND: Image analysis of tissue sections using RGB image profiling is a modern accepted technique. MATERIALS AND METHODS: A new method of RGB analysis, using the freeware ImageJ, is presented which can be applied to sections with either nuclear or cytoplasmic staining. The step-by-step process is presented and the method is tested using breast cancer specimens immunostained for CK-19 and estrogen receptors. RESULTS: This image analysis easily discriminates CK-19 and estrogen receptor positivity in prepared breast cancer specimens. The method is easy to perform, without the need for previous image transformations. CONCLUSION: Compared to previous methods, this method proved more accurate in estimating the actual colours that an observer recognizes as positive after immunostaining. Further studies are needed to evaluate whether this method is efficient enough to be applied in clinical practice.}, author = {Vrekoussis, T and Chaniotis, V and Navrozoglou, I and Dousias, V and Pavlakis, K and Stathopoulos, E N and Zoras, O} } @conference {1085, title = {MediGrid {\textendash} Facilitating Semantic-Based processing of Biomedical Data and Knowledge}, 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 = {10.5220/0001828500180021}, author = {Jan Vejvalka and Petr Lesn{\'y} and Tom{\'a}{\v s} Hole{\v c}ek and Kry{\v s}tof Slab{\'y} and Ad{\'e}la Jarol{\'\i}mkov{\'a} and Helena Bouzkov{\'a}} } @conference {1089, title = {Repositories of Reusable Auxological (Growth) Algorithms for eHealth}, 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 = {10.5220/0001827900540058}, author = {Petr Lesn{\'y} and Hana Kr{\'a}sni{\v c}anov{\'a} and Tom{\'a}{\v s} Hole{\v c}ek and Kry{\v s}tof Slab{\'y} and Jan Vejvalka} } @article {547, title = {Free and Open Source Software in Healthcare 1.0}, year = {2008}, publisher = {American Medical Informatics Association Open Source Working Group}, type = {White Paper}, abstract = {The possible benefits of widespread adoption of Electronic Health Record/Electronic Medical Record (EHR/EMR) technologies are widely documented, yet progress is slow and few propose a viable mechanism to achieve shared goals. Multiple problems of cost, interoperability, vendor lock-in, standardization and longevity have been identified and have persisted. Even {\textquotedblleft}successes{\textquotedblright} have problems. While multiple initiatives and much money is spent on finding answers, Free/Open Source Software (FOSS) licensing holds promise for solving these problems or at least making them more tractable. Multiple deployments, novel applications, and multiple companies offering support appear to be occurring. Interoperability and connectivity may be an area of particular proliferation. By vendor and site self-report there are a substantial number of patient records, 3,959,065 in 898 non-Federal government sites and 24,442,000 patient records in 1607 Federal government sites that use FOSS or public domain software EHR/EMR{\textquoteright}s. To date, 232 Open Source titled works on various aspects are listed in PubMed. Local and national education is needed to ensure that equal attention be given to FOSS licensed EHR/EMR software.}, keywords = {Electronic Health Record, Electronic Medical Record, Free and Open Source}, url = {https://www.amia.org/files/Final-OS-WG\%20White\%20Paper_11_19_08_0.pdf}, author = {Ignacio Valdes} } @article {17356215, title = {Comparison of four freely available frameworks for image processing and visualization that use ITK.}, journal = {IEEE transactions on visualization and computer graphics}, volume = {13}, year = {2007}, month = {2007 May-Jun}, pages = {483-93}, abstract = {Most image processing and visualization applications allow users to configure computation parameters and manipulate the resulting visualizations. SCIRun, VolView, MeVisLab, and the Medical Interaction Toolkit (MITK) are four image processing and visualization frameworks that were built for these purposes. All frameworks are freely available and all allow the use of the ITK C++ library. In this paper, the benefits and limitations of each visualization framework are presented to aid both application developers and users in the decision of which framework may be best to use for their application. The analysis is based on more than 50 evaluation criteria, functionalities, and example applications. We report implementation times for various steps in the creation of a reference application in each of the compared frameworks. The data-flow programming frameworks, SCIRun and MeVisLab, were determined to be best for developing application prototypes, while VolView was advantageous for nonautomatic end-user applications based on existing ITK functionalities, and MITK was preferable for automated end-user applications that might include new ITK classes specifically designed for the application.}, author = {Bitter, Ingmar and Van Uitert, Robert and Wolf, Ivo and Ib{\'a}{\~n}ez, Luis and Kuhnigk, Jan-Martin} } @article {566, title = {O3-DPACS Open-Source Image-Data Manager/Archiver and HDW2 Image-Data Display: an IHE-compliant project pushing the e-health integration in the world.}, journal = {Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society}, volume = {30}, year = {2006}, month = {2006 Sep-Oct}, pages = {391-406}, abstract = {After many years of study, development and experimentation of open PACS and Image workstation solutions including management of medical data and signals (DPACS project), the research and development at the University of Trieste have recently been directed towards Java-based, IHE compliant and multi-purpose servers and clients. In this paper an original Image-Data Manager/Archiver (O3-DPACS) and a universal Image-Data Display (HDW2) are described. O3-DPACS is also part of a new project called Open Three (O3) Consortium, promoting Open Source adoption in e-health at European and world-wide levels. This project aims to give a contribution to the development of e-health through the study of Healthcare Information Systems and the contemporary proposal of new concepts, designs and solutions for the management of health data in an integrated environment: hospitals, Regional Health Information Organizations and citizens (home-care, mobile-care and ambient assisted living).}, keywords = {Data Display, Database Management Systems, Diagnostic Imaging, Equipment Design, Equipment Failure Analysis, Guidelines as Topic, Information Storage and Retrieval, Internationality, Medical Records Systems, Computerized, Programming Languages, Radiology Information Systems, Systems Integration, User-Computer Interface}, issn = {0895-6111}, author = {Inchingolo, Paolo and Beltrame, Marco and Bosazzi, Pierpaolo and Cicuta, Davide and Faustini, Giorgio and Mininel, Stefano and Poli, Andrea and Vatta, Federica} } @article {587, title = {The medical imaging interaction toolkit.}, journal = {Medical image analysis}, volume = {9}, year = {2005}, month = {2005 Dec}, pages = {594-604}, abstract = {Thoroughly designed, open-source toolkits emerge to boost progress in medical imaging. The Insight Toolkit (ITK) provides this for the algorithmic scope of medical imaging, especially for segmentation and registration. But medical imaging algorithms have to be clinically applied to be useful, which additionally requires visualization and interaction. The Visualization Toolkit (VTK) has powerful visualization capabilities, but only low-level support for interaction. In this paper, we present the Medical Imaging Interaction Toolkit (MITK). The goal of MITK is to significantly reduce the effort required to construct specifically tailored, interactive applications for medical image analysis. MITK allows an easy combination of algorithms developed by ITK with visualizations created by VTK and extends these two toolkits with those features, which are outside the scope of both. MITK adds support for complex interactions with multiple states as well as undo-capabilities, a very important prerequisite for convenient user interfaces. Furthermore, MITK facilitates the realization of multiple, different views of the same data (as a multiplanar reconstruction and a 3D rendering) and supports the visualization of 3D+t data, whereas VTK is only designed to create one kind of view of 2D or 3D data. MITK reuses virtually everything from ITK and VTK. Thus, it is not at all a competitor to ITK or VTK, but an extension, which eases the combination of both and adds the features required for interactive, convenient to use medical imaging software. MITK is an open-source project (www.mitk.org).}, keywords = {Algorithms, Artificial Intelligence, Computer Graphics, Diagnostic Imaging, Image Enhancement, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Pattern Recognition, Automated, Software, User-Computer Interface}, issn = {1361-8415}, author = {Wolf, Ivo and Vetter, Marcus and Wegner, Ingmar and B{\"o}ttger, Thomas and Nolden, Marco and Sch{\"o}binger, Max and Hastenteufel, Mark and Kunert, Tobias and Meinzer, Hans-Peter} } @article {500, title = {Advances in functional and structural MR image analysis and implementation as FSL.}, journal = {NeuroImage}, volume = {23 Suppl 1}, year = {2004}, month = {2004}, pages = {S208-19}, abstract = {The techniques available for the interrogation and analysis of neuroimaging data have a large influence in determining the flexibility, sensitivity, and scope of neuroimaging experiments. The development of such methodologies has allowed investigators to address scientific questions that could not previously be answered and, as such, has become an important research area in its own right. In this paper, we present a review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB). This research has focussed on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data. The majority of the research laid out in this paper has been implemented as freely available software tools within FMRIB{\textquoteright}s Software Library (FSL).}, keywords = {Bayes Theorem, Brain, Databases, Factual, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Models, Neurological, Models, Statistical, Software}, issn = {1053-8119}, author = {Smith, Stephen M and Jenkinson, Mark and Woolrich, Mark W and Beckmann, Christian F and Behrens, Timothy E J and Johansen-Berg, Heidi and Bannister, Peter R and De Luca, Marilena and Drobnjak, Ivana and Flitney, David E and Niazy, Rami K and Saunders, James and Vickers, John and Zhang, Yongyue and De Stefano, Nicola and Brady, J Michael and Matthews, Paul M} } @article {11522765, title = {An integrated software suite for surface-based analyses of cerebral cortex.}, journal = {Journal of the American Medical Informatics Association : JAMIA}, volume = {8}, year = {2001}, month = {2001 Sep-Oct}, pages = {443-59}, abstract = {The authors describe and illustrate an integrated trio of software programs for carrying out surface-based analyses of cerebral cortex. The first component of this trio, SureFit (Surface Reconstruction by Filtering and Intensity Transformations), is used primarily for cortical segmentation, volume visualization, surface generation, and the mapping of functional neuroimaging data onto surfaces. The second component, Caret (Computerized Anatomical Reconstruction and Editing Tool Kit), provides a wide range of surface visualization and analysis options as well as capabilities for surface flattening, surface-based deformation, and other surface manipulations. The third component, SuMS (Surface Management System), is a database and associated user interface for surface-related data. It provides for efficient insertion, searching, and extraction of surface and volume data from the database.}, author = {Van Essen, D C and Drury, H A and Dickson, J and Harwell, J and Hanlon, D and Anderson, C H} }