@article {1312, title = {The case for free and open source software in research and scholarship.}, journal = {Philos Trans A Math Phys Eng Sci}, volume = {379}, year = {2021}, month = {2021 May 17}, pages = {20200079}, abstract = {

Free and open source software (FOSS) is any computer program released under a licence that grants users rights to run the program for any purpose, to study it, to modify it, and to redistribute it in original or modified form. Our aim is to explore the intersection between FOSS and computational reproducibility. We begin by situating FOSS in relation to other {\textquoteright}open{\textquoteright} initiatives, and specifically open science, open research, and open scholarship. In this context, we argue that anyone who actively contributes to the research process today is a computational researcher, in that they use computers to manage and store information. We then provide a primer to FOSS suitable for anyone concerned with research quality and sustainability-including researchers in any field, as well as support staff, administrators, publishers, funders, and so on. Next, we illustrate how the notions introduced in the primer apply to resources for scientific computing, with reference to the GNU Scientific Library as a case study. We conclude by discussing why the common interpretation of {\textquoteright}open source{\textquoteright} as {\textquoteright}open code{\textquoteright} is misplaced, and we use this example to articulate the role of FOSS in research and scholarship today. This article is part of the theme issue {\textquoteright}Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification {\textquoteright}.

}, issn = {1471-2962}, doi = {10.1098/rsta.2020.0079}, author = {Fortunato, Laura and Galassi, Mark} } @article {1220, title = {CODE STROKE ALERT-Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management.}, journal = {Front Neurol}, volume = {10}, year = {2019}, month = {2019}, pages = {725}, abstract = {

Effective, time-critical intervention in acute stroke is crucial to mitigate mortality rate and morbidity, but delivery of reperfusion treatments is often hampered by pre-, in-, or inter-hospital system level delays. Disjointed, repetitive, and inefficient communication is a consistent contributor to avoidable treatment delay. In the era of rapid reperfusion therapy for ischemic stroke, there is a need for a communication system to synchronize the flow of clinical information across the entire stroke journey. A multi-disciplinary development team designed an electronic communications platform, integrated between web browsers and a mobile application, to link all relevant members of the stroke treatment pathway. The platform uses tiered notifications, geotagging, incorporates multiple clinical score calculators, and is compliant with security regulations. The system safely saves relevant information for audit and research. Code Stroke Alert is a platform that can be accessed by emergency medical services (EMS) and hospital staff, coordinating the flow of information during acute stroke care, reducing duplication, and error in clinical information handover. Electronic data logs provide an auditable trail of relevant quality improvement metrics, facilitating quality improvement, and research. Code Stroke Alert will be freely available to health networks globally. The open-source nature of the software offers valuable potential for future development of plug-ins and add-ons, based on individual institutional needs. Prospective, multi-site implementation, and measurement of clinical impact are underway.

}, issn = {1664-2295}, doi = {10.3389/fneur.2019.00725}, author = {Seah, Huey Ming and Burney, Moe and Phan, Michael and Shell, Daniel and Wu, Jamin and Zhou, Kevin and Brooks, Owen and Coulton, Bronwyn and Maingard, Julian and Tang, Jennifer and Yazdabadi, Gohar and Tahayori, Bahman and Barras, Christen and Kok, Hong Kuan and Chandra, Ronil and Thijs, Vincent and Brooks, Duncan Mark and Asadi, Hamed} } @article {1289, title = {Community-led data collection using Open Data Kit for surveillance of animal African trypanosomiasis in Shimba hills, Kenya.}, journal = {BMC Res Notes}, volume = {12}, year = {2019}, month = {2019 Mar 18}, pages = {151}, abstract = {

OBJECTIVE: In Sub-Saharan Africa, there is an increase in trypanosome non-susceptibility to multiple trypanocides, but limited information on judicious trypanocide use is accessible to smallholder farmers and agricultural stakeholders in disease endemic regions, resulting in widespread multi-drug resistance. Huge economic expenses and the laborious nature of extensive field studies have hindered collection of the requisite large-scale prospective datasets required to inform disease management. We examined the efficacy of community-led data collection strategies using smartphones by smallholder farmers to acquire robust datasets from the trypanosomiasis endemic Shimba hills region in Kenya. We used Open Data Kit, an open-source smartphone application development software, to create a data collection App.

RESULTS: Our study provides proof of concept for the viability of using smartphone Apps to remotely collect reliable large-scale information from smallholder farmers and veterinary health care givers in resource poor settings. We show that these datasets can be reliably collated remotely, analysed, and the findings can inform policies that improve farming practices and economic wellbeing while restricting widespread multi-drug resistance. Moreover, this strategy can be used to monitor and manage other infectious diseases in other rural, resource poor settings.

}, keywords = {Adult, Animals, Cattle, Cattle Diseases, Community-Based Participatory Research, Data Collection, Epidemiological Monitoring, Farmers, Female, Humans, Kenya, Male, Mobile Applications, Pilot Projects, Proof of Concept Study, Trypanosomiasis, African}, issn = {1756-0500}, doi = {10.1186/s13104-019-4198-z}, author = {Wamwenje, Sarah A O and Wangwe, Ibrahim I and Masila, Nicodemus and Mirieri, Caroline K and Wambua, Lillian and Kulohoma, Benard W} } @article {1226, title = {Comparison of Open-Source Electronic Health Record Systems Based on Functional and User Performance Criteria.}, journal = {Healthc Inform Res}, volume = {25}, year = {2019}, month = {2019 Apr}, pages = {89-98}, abstract = {

Objectives: Open-source Electronic Health Record (EHR) systems have gained importance. The main aim of our research is to guide organizational choice by comparing the features, functionality, and user-facing system performance of the five most popular open-source EHR systems.

Methods: We performed qualitative content analysis with a directed approach on recently published literature (2012-2017) to develop an integrated set of criteria to compare the EHR systems. The functional criteria are an integration of the literature, meaningful use criteria, and the Institute of Medicine{\textquoteright}s functional requirements of EHR, whereas the user-facing system performance is based on the time required to perform basic tasks within the EHR system.

Results: Based on the Alexa web ranking and Google Trends, the five most popular EHR systems at the time of our study were OSHERA VistA, GNU Health, the Open Medical Record System (OpenMRS), Open Electronic Medical Record (OpenEMR), and OpenEHR. We also found the trends in popularity of the EHR systems and the locations where they were more popular than others. OpenEMR met all the 32 functional criteria, OSHERA VistA met 28, OpenMRS met 12 fully and 11 partially, OpenEHR-based EHR met 10 fully and 3 partially, and GNU Health met the least with only 10 criteria fully and 2 partially.

Conclusions: Based on our functional criteria, OpenEMR is the most promising EHR system, closely followed by VistA. With regards to user-facing system performance, OpenMRS has superior performance in comparison to OpenEMR.

}, issn = {2093-3681}, doi = {10.4258/hir.2019.25.2.89}, author = {Purkayastha, Saptarshi and Allam, Roshini and Maity, Pallavi and Gichoya, Judy W} } @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 {1268, title = {Census-independent population mapping in northern Nigeria.}, journal = {Remote Sens Environ}, volume = {204}, year = {2018}, month = {2018 Jan}, pages = {786-798}, abstract = {

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

}, issn = {0034-4257}, doi = {10.1016/j.rse.2017.09.024}, author = {Weber, Eric M and Seaman, Vincent Y and Stewart, Robert N and Bird, Tomas J and Tatem, Andrew J and McKee, Jacob J and Bhaduri, Budhendra L and Moehl, Jessica J and Reith, Andrew E} } @article {1270, title = {Coverage of routine reporting on malaria parasitological testing in Kenya, 2015-2016.}, journal = {Glob Health Action}, volume = {10}, year = {2017}, month = {2017}, pages = {1413266}, abstract = {

BACKGROUND: Following the launch of District Health Information System 2 across facilities in Kenya, more health facilities are now capable of carrying out malaria parasitological testing and reporting data as part of routine health information systems, improving the potential value of routine data for accurate and timely tracking of rapidly changing disease epidemiology at fine spatial resolutions.

OBJECTIVES: This study evaluates the current coverage and completeness of reported malaria parasitological testing data in DHIS2 specifically looking at patterns in geographic coverage of public health facilities in Kenya.

METHODS: Monthly facility level data on malaria parasitological testing were extracted from Kenya DHIS2 between November 2015 and October 2016. DHIS2 public facilities were matched to a geo-coded master facility list to obtain coordinates. Coverage was defined as the geographic distribution of facilities reporting any data by region. Completeness of reporting was defined as the percentage of facilities reporting any data for the whole 12-month period or for 3, 6 and 9 months.

RESULTS: Public health facilities were 5,933 (59\%) of 10,090 extracted. Fifty-nine per Cent of the public facilities did not report any data while 36, 29 and 22\% facilities had data reported at least 3, 6 and 9 months, respectively. Only 8\% of public facilities had data reported for every month. There were proportionately more hospitals (86\%) than health centres (76\%) and dispensaries/clinics (30\%) reporting. There were significant geographic variations in reporting rates. Counties along the malaria endemic coast had the lowest reporting rate with only 1\% of facilities reporting consistently for 12 months.

CONCLUSION: Current coverage and completeness of reporting of malaria parasitological diagnosis across Kenya{\textquoteright}s public health system remains poor. The usefulness of routine data to improve our understanding of sub-national heterogeneity across Kenya would require significant improvements to the consistency and coverage of data captured by DHIS2.

}, keywords = {Health Facilities, Health information systems, Humans, Kenya, Malaria, Mandatory Reporting, Public Health Surveillance}, issn = {1654-9880}, doi = {10.1080/16549716.2017.1413266}, author = {Maina, Joseph K and Macharia, Peter M and Ouma, Paul O and Snow, Robert W and Okiro, Emelda A} } @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 {1167, title = {{ConoSurf}: {Open}-source 3D scanning system based on a conoscopic holography device for acquiring surgical surfaces}, journal = {The international journal of medical robotics + computer assisted surgery: MRCAS}, year = {2016}, abstract = {BACKGROUND: A difficulty in computer-assisted interventions is acquiring the patient{\textquoteright}s anatomy intraoperatively. Standard modalities have several limitations: low image quality (ultrasound), radiation exposure (computed tomography) or high costs (magnetic resonance imaging). An alternative approach uses a tracked pointer; however, the pointer causes tissue deformation and requires sterilizing. Recent proposals, utilizing a tracked conoscopic holography device, have shown promising results without the previously mentioned drawbacks. METHODS: We have developed an open-source software system that enables real-time surface scanning using a conoscopic holography device and a wide variety of tracking systems, integrated into pre-existing and well-supported software solutions. RESULTS: The mean target registration error of point measurements was 1.46~mm. For a quick guidance scan, surface reconstruction improved the surface registration error compared with point-set registration. CONCLUSIONS: We have presented a system enabling real-time surface scanning using a tracked conoscopic holography device. Results show that it can be useful for acquiring the patient{\textquoteright}s anatomy during surgery.}, issn = {1478-596X}, doi = {10.1002/rcs.1788}, author = {Brudfors, Mikael and Garc{\'\i}a-V{\'a}zquez, Ver{\'o}nica and Ses{\'e}-Lucio, Bego{\~n}a and Marinetto, Eugenio and Desco, Manuel and Pascau, Javier} } @article {992, title = {A case study in open source innovation: developing the Tidepool Platform for interoperability in type 1 diabetes management.}, journal = {J Am Med Inform Assoc}, year = {2015}, month = {2015 Sep 2}, abstract = {

OBJECTIVE: Develop a device-agnostic cloud platform to host diabetes device data and catalyze an ecosystem of software innovation for type 1 diabetes (T1D) management.

MATERIALS AND METHODS: An interdisciplinary team decided to establish a nonprofit company, Tidepool, and build open-source software.

RESULTS: Through a user-centered design process, the authors created a software platform, the Tidepool Platform, to upload and host T1D device data in an integrated, device-agnostic fashion, as well as an application ("app"), Blip, to visualize the data. Tidepool{\textquoteright}s software utilizes the principles of modular components, modern web design including REST APIs and JavaScript, cloud computing, agile development methodology, and robust privacy and security.

DISCUSSION: By consolidating the currently scattered and siloed T1D device data ecosystem into one open platform, Tidepool can improve access to the data and enable new possibilities and efficiencies in T1D clinical care and research. The Tidepool Platform decouples diabetes apps from diabetes devices, allowing software developers to build innovative apps without requiring them to design a unique back-end (e.g., database and security) or unique ways of ingesting device data. It allows people with T1D to choose to use any preferred app regardless of which device(s) they use.

CONCLUSION: The authors believe that the Tidepool Platform can solve two current problems in the T1D device landscape: 1) limited access to T1D device data and 2) poor interoperability of data from different devices. If proven effective, Tidepool{\textquoteright}s open source, cloud model for health data interoperability is applicable to other healthcare use cases.

}, issn = {1527-974X}, doi = {10.1093/jamia/ocv104}, author = {Neinstein, Aaron and Wong, Jenise and Look, Howard and Arbiter, Brandon and Quirk, Kent and McCanne, Steve and Sun, Yao and Blum, Michael and Adi, Saleh} } @article {1190, title = {caTissue Suite to OpenSpecimen: developing an extensible, open source, web-based biobanking management system}, journal = {Journal of biomedical informatics}, volume = {57}, year = {2015}, month = {2015/10/}, pages = {456 - 464}, abstract = {The National Cancer Institute (NCI) Cancer Biomedical Informatics Grid({\textregistered}) (caBIG({\textregistered})) program established standards and best practices for biorepository data management by creating an infrastructure to propagate biospecimen resource sharing while maintaining data integrity and security. caTissue suite, a biospecimen data management software tool, has evolved from this effort. More recently, the caTissue suite continues to evolve as an open source initiative known as OpenSpecimen. The essential functionality of OpenSpecimen includes the capture and representation of highly granular, hierarchically-structured data for biospecimen processing, quality assurance, tracking, and annotation. Ideal for multi-user and multi-site biorepository environments, OpenSpecimen permits role-based access to specific sets of data operations through a user-interface designed to accommodate varying workflows and unique user needs. The software is interoperable, both syntactically and semantically, with an array of other bioinformatics tools given its integration of standard vocabularies thus enabling research involving biospecimens. End-users are encouraged to share their day-to-day experiences in working with the application, thus providing to the community board insight into the needs and limitations which need be addressed. Users are also requested to review and validate new features through group testing environments and mock screens. Through this user interaction, application flexibility and interoperability have been recognized as necessary developmental focuses essential for accommodating diverse adoption scenarios and biobanking workflows to catalyze advances in biomedical research and operations. Given the diversity of biobanking practices and workforce roles, efforts have been made consistently to maintain robust data granularity while aiding user accessibility, data discoverability, and security within and across applications by providing a lower learning curve in using OpenSpecimen. Iterative development and testing cycles provide continuous maintenance and up-to-date capabilities for this freely available, open-access, web-based software application that is globally-adopted at over 25 institutions.}, isbn = {1532-04641532-0480}, doi = {10.1016/j.jbi.2015.08.020}, url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4772150/}, author = {McIntosh, Leslie D and Sharma, Mukesh K and Mulvihill, David and Gupta, Snehil and Juehne, Anthony and George, Bijoy and Khot, Suhas B and Kaushal, Atul and Watson, Mark A and Nagarajan, Rakesh} } @article {1024, title = {CohortExplorer: A Generic Application Programming Interface for Entity Attribute Value Database Schemas.}, journal = {JMIR Med Inform}, volume = {2}, year = {2014}, month = {2014}, pages = {e32}, abstract = {

BACKGROUND: Most electronic data capture (EDC) and electronic data management (EDM) systems developed to collect and store clinical data from participants recruited into studies are based on generic entity-attribute-value (EAV) database schemas which enable rapid and flexible deployment in a range of study designs. The drawback to such schemas is that they are cumbersome to query with structured query language (SQL). The problem increases when researchers involved in multiple studies use multiple electronic data capture and management systems each with variation on the EAV schema.

OBJECTIVE: The aim of this study is to develop a generic application which allows easy and rapid exploration of data and metadata stored under EAV schemas that are organized into a survey format (questionnaires/events, questions, values), in other words, the Clinical Data Interchange Standards Consortium (CDISC) Observational Data Model (ODM).

METHODS: CohortExplorer is written in Perl programming language and uses the concept of SQL abstract which allows the SQL query to be treated like a hash (key-value pairs).

RESULTS: We have developed a tool, CohortExplorer, which once configured for a EAV system will "plug-n-play" with EAV schemas, enabling the easy construction of complex queries through an abstracted interface. To demonstrate the utility of the CohortExplorer system, we show how it can be used with the popular EAV based frameworks; Opal (OBiBa) and REDCap.

CONCLUSIONS: The application is available under a GPL-3+ license at the CPAN website. Currently the application only provides datasource application programming interfaces (APIs) for Opal and REDCap. In the future the application will be available with datasource APIs for all major electronic data capture and management systems such as OpenClinica and LabKey. At present the application is only compatible with EAV systems where the metadata is organized into surveys, questionnaires and events. Further work is needed to make the application compatible with EAV schemas where the metadata is organized into hierarchies such as Informatics for Integrating Biology \& the Bedside (i2b2). A video tutorial demonstrating the application setup, datasource configuration, and search features is available on YouTube. The application source code is available at the GitHub website and the users are encouraged to suggest new features and contribute to the development of APIs for new EAV systems.

}, issn = {2291-9694}, doi = {10.2196/medinform.3339}, author = {Dixit, Abhishek and Dobson, Richard J B} } @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 {860, title = {A case study of private{\textendash}public collaboration for humanitarian free and open source disaster management software deployment}, journal = {Decision Support Systems}, volume = {55}, year = {2013}, pages = {1 - 11}, abstract = {Abstract Free and open source software (FOSS) has been increasingly adopted for humanitarian purpose worldwide, yet the factors for successful deployment of humanitarian \{FOSS\} in a disaster situation remain largely unexplored. Drawing upon the Technology{\textendash}Organization{\textendash}Environment (TOE) framework, this study identifies the key issues in collaborative deployment of \{FOSS\} for humanitarian relief operations. The research further elaborates the key research issues by adopting a case study approach in which qualitative data were gathered from key informants from both private and public sectors. The results suggest that task{\textendash}technology fit, expertise management, and inter-organizational relationship management play critical roles in humanitarian \{FOSS\} deployment.}, keywords = {Private{\textendash}public partnership}, issn = {0167-9236}, doi = {http://dx.doi.org/10.1016/j.dss.2012.10.030}, url = {http://www.sciencedirect.com/science/article/pii/S0167923612002850}, author = {Jessica P. Li and Rui Chen and JinKyu Lee and H. Raghav Rao} } @article {856, title = {Clinician-led development of electronic health records systems.}, journal = {Stud Health Technol Inform}, volume = {183}, year = {2013}, month = {2013}, pages = {3-8}, abstract = {

The open source cityEHR system was evaluated as a toolkit for clinician-led development of an Electronic Health Record for management of patients in the Ponseti clinic of a major London hospital. As a toolkit, it was found that the ontology-driven approach of cityEHR was too complex for clinicians to use. The toolkit was refined to use more familiar spreadsheet s to represent the ontology and was then used successfully to create an effective clinical system, generated automatically from the information model.

}, issn = {0926-9630}, author = {Chelsom, John and Ahluwalia, Raju and Dogar, Naveed} } @article {848, title = {A common type system for clinical natural language processing.}, journal = {J Biomed Semantics}, volume = {4}, year = {2013}, month = {2013}, pages = {1}, abstract = {

UNLABELLED:

BACKGROUND: One challenge in reusing clinical data stored in electronic medical records is that these data are heterogenous. Clinical Natural Language Processing (NLP) plays an important role in transforming information in clinical text to a standard representation that is comparable and interoperable. Information may be processed and shared when a type system specifies the allowable data structures. Therefore, we aim to define a common type system for clinical NLP that enables interoperability between structured and unstructured data generated in different clinical settings.

RESULTS: We describe a common type system for clinical NLP that has an end target of deep semantics based on Clinical Element Models (CEMs), thus interoperating with structured data and accommodating diverse NLP approaches. The type system has been implemented in UIMA (Unstructured Information Management Architecture) and is fully functional in a popular open-source clinical NLP system, cTAKES (clinical Text Analysis and Knowledge Extraction System) versions 2.0 and later.

CONCLUSIONS: We have created a type system that targets deep semantics, thereby allowing for NLP systems to encapsulate knowledge from text and share it alongside heterogenous clinical data sources. Rather than surface semantics that are typically the end product of NLP algorithms, CEM-based semantics explicitly build in deep clinical semantics as the point of interoperability with more structured data types.

}, issn = {2041-1480}, doi = {10.1186/2041-1480-4-1}, author = {Wu, Stephen T and Kaggal, Vinod C and Dligach, Dmitriy and Masanz, James J and Chen, Pei and Becker, Lee and Chapman, Wendy W and Savova, Guergana K and Liu, Hongfang and Chute, Christopher G} } @article {890, title = {Comparison of femoral tunnel widening between outside-in and trans-tibial double-bundle ACL reconstruction.}, journal = {Knee Surg Sports Traumatol Arthrosc}, year = {2013}, month = {2013 Jul 13}, abstract = {

PURPOSE: The objectives of this study were to compare (1) the degree of widening by comparing the diameter at the most widened area and the site of widening by measuring the distance from the tunnel entrance to the most widened area in two femoral tunnels (anteromedial and posterolateral), and (2) the morphologic change at the tunnel entrance between outside-in and trans-tibial double-bundle anterior cruciate ligament (ACL) reconstruction.

METHODS: A retrospective study that included 17 trans-tibial and 19 outside-in double-bundle ACL reconstructed patients was conducted for evaluation of serial computed tomography (CT) scan (immediate post-operation and post-operative 1~year). Digital image communication in medicine (DICOM) data was extracted from the PiViewSTAR and imported into OsiriX({\textregistered}), which was installed on a Macbook Pro laptop computer. Diameter of the most widened area and distance from the entrance to this point were measured from each of two perpendicular (sagittal and coronal) planes that were accurately realigned parallel to the tunnel direction. Change in the morphology of the tunnel entrance between immediate post-operation and 1-year post-operation was evaluated.

RESULTS: Widening was observed in both planes of both tunnels in the two techniques. However, no statistical significances in the diameter of most widened area and distance from the tunnel entrance to the most widened point were observed between the both techniques (n.s.). Distances from the centre point to each four sections showed an increase in all four sections of all both tunnels in both techniques. However, no statistical significance was observed between the two techniques (n.s.).

CONCLUSION: Widening was observed in all tunnels using both techniques and degrees, and sites of the widening did not differ between groups. Morphologic change at the tunnel entrance was not limited to the specific direction and occurred in all directions without significant difference between groups.

LEVEL OF EVIDENCE: Retrospective comparative study, Level III.

}, issn = {1433-7347}, doi = {10.1007/s00167-013-2597-6}, author = {Lee, Yong Seuk and Lee, Beom Koo and Oh, Won Seok and Cho, Yong Kyun} } @article {874, title = {Customising DHIS2 for Maternal and Child Health Information Management in Sri Lanka}, journal = {Sri Lanka Journal of Bio-Medical Informatics}, volume = {3}, year = {2013}, abstract = {Maternal and Child Health (MCH) is an important component of the primary health care system. MCH systems are developed incorporated with health information systems. Electronic MCH Information Management Systems are emerging and they have proven to improve the quality, efficiency and the cost of medical care. Vendor neutral open source software, such as DHIS2, provides the resources to develop most of the Health Information Management systems. By following open standards; quality, productivity, cost management and data safety can be improved.DOi: http://dx.doi.org/10.4038/sljbmi.v3i2.2496 Sri Lanka Journal of Biomedical Informatics 2012; 3:47-54}, keywords = {DHIS2, Information Systems, Maternal and Child Health, open source}, url = {http://www.sljol.info/index.php/SLJBMI/article/view/2496}, author = {M. Manoj} } @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 {868, title = {The caBIG{\textregistered} Life Science Business Architecture Model.}, journal = {Bioinformatics}, volume = {27}, year = {2011}, month = {2011 May 15}, pages = {1429-35}, abstract = {

MOTIVATION: Business Architecture Models (BAMs) describe what a business does, who performs the activities, where and when activities are performed, how activities are accomplished and which data are present. The purpose of a BAM is to provide a common resource for understanding business functions and requirements and to guide software development. The cancer Biomedical Informatics Grid (caBIG{\textregistered}) Life Science BAM (LS BAM) provides a shared understanding of the vocabulary, goals and processes that are common in the business of LS research.

RESULTS: LS BAM 1.1 includes 90 goals and 61 people and groups within Use Case and Activity Unified Modeling Language (UML) Diagrams. Here we report on the model{\textquoteright}s current release, LS BAM 1.1, its utility and usage, and plans for future use and continuing development for future releases. Availability and Implementation: The LS BAM is freely available as UML, PDF and HTML (https://wiki.nci.nih.gov/x/OFNyAQ).

}, keywords = {Biomedical Research, Computational Biology, Computer Systems, National Cancer Institute (U.S.), Neoplasms, Software, United States, Vocabulary, Controlled}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btr141}, author = {Boyd, Lauren Becnel and Hunicke-Smith, Scott P and Stafford, Grace A and Freund, Elaine T and Ehlman, Michele and Chandran, Uma and Dennis, Robert and Fernandez, Anna T and Goldstein, Stephen and Steffen, David and Tycko, Benjamin and Klemm, Juli D} } @article {1047, title = {[Central online quality assurance in radiology: an IT solution exemplified by the German Breast Cancer Screening Program].}, journal = {Rofo}, volume = {183}, year = {2011}, month = {2011 Sep}, pages = {849-54}, abstract = {

PURPOSE: Physical-technical quality assurance is one of the essential tasks of the National Reference Centers in the German Breast Cancer Screening Program. For this purpose the mammography units are required to transfer the measured values of the constancy tests on a daily basis and all phantom images created for this purpose on a weekly basis to the reference centers. This is a serious logistical challenge. To meet these requirements, we developed an innovative software tool.

MATERIALS AND METHODS: By the end of 2005, we had already developed web-based software (MammoControl) allowing the transmission of constancy test results via entry forms. For automatic analysis and transmission of the phantom images, we then introduced an extension (MammoControl DIANA). This was based on Java, Java Web Start, the NetBeans Rich Client Platform, the Pixelmed Java DICOM Toolkit and the ImageJ library.

RESULTS: MammoControl DIANA was designed to run locally in the mammography units. This allows automated on-site image analysis. Both results and compressed images can then be transmitted to the reference center. We developed analysis modules for the daily and monthly consistency tests and additionally for a homogeneity test.

CONCLUSION: The software we developed facilitates the immediate availability of measurement results, phantom images, and DICOM header data in all reference centers. This allows both targeted guidance and short response time in the case of errors. We achieved a consistent IT-based evaluation with standardized tools for the entire screening program in Germany.

}, keywords = {Data Compression, Female, Germany, Guideline Adherence, Humans, Image Processing, Computer-Assisted, Mammography, Mass Screening, Online Systems, Phantoms, Imaging, Quality Assurance, Health Care, Radiology Information Systems, Reference Standards, Software}, issn = {1438-9010}, doi = {10.1055/s-0031-1281599}, author = {Czwoydzinski, J and Girnus, R and Sommer, A and Heindel, W and Lenzen, H} } @article {909, title = {Common characteristics of open source software development and applicability for drug discovery: A systematic review}, journal = {Health Research Policy and Systems}, volume = {9}, year = {2011}, abstract = {Background: Innovation through an open source model has proven to be successful for software development. This success has led many to speculate if open source can be applied to other industries with similar success. We attempt to provide an understanding of open source software development characteristics for researchers, business leaders and government officials who may be interested in utilizing open source innovation in other contexts and with an emphasis on drug discovery.Methods: A systematic review was performed by searching relevant, multidisciplinary databases to extract empirical research regarding the common characteristics and barriers of initiating and maintaining an open source software development project.Results: Common characteristics to open source software development pertinent to open source drug discovery were extracted. The characteristics were then grouped into the areas of participant attraction, management of volunteers, control mechanisms, legal framework and physical constraints. Lastly, their applicability to drug discovery was examined.Conclusions: We believe that the open source model is viable for drug discovery, although it is unlikely that it will exactly follow the form used in software development. Hybrids will likely develop that suit the unique characteristics of drug discovery. We suggest potential motivations for organizations to join an open source drug discovery project. We also examine specific differences between software and medicines, specifically how the need for laboratories and physical goods will impact the model as well as the effect of patents. {\textcopyright} 2011 {\r A}rdal et al; licensee BioMed Central Ltd.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80053368637\&partnerID=40\&md5=758353a8f6509a3198a8d06164bdec37}, author = {{\r A}rdal, C.a and Alstads{\ae} ter, A.b and R{\o}ttingen, J.-A.b} } @article {871, title = {The caBIG annotation and image Markup project.}, journal = {J Digit Imaging}, volume = {23}, year = {2010}, month = {2010 Apr}, pages = {217-25}, abstract = {

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

}, keywords = {Computational Biology, Computer Communication Networks, Databases, Factual, Diagnostic Imaging, Humans, Interdisciplinary Communication, Medical Records Systems, Computerized, National Cancer Institute (U.S.), National Institutes of Health (U.S.), Neoplasms, Program Evaluation, Quality of Health Care, Radiographic Image Enhancement, Radiology Information Systems, Software, Systems Integration, United States, User-Computer Interface}, issn = {1618-727X}, doi = {10.1007/s10278-009-9193-9}, author = {Channin, David S and Mongkolwat, Pattanasak and Kleper, Vladimir and Sepukar, Kastubh and Rubin, Daniel L} } @article {20226035, title = {CASE: a framework for computer supported outbreak detection.}, journal = {BMC medical informatics and decision making}, volume = {10}, year = {2010}, month = {2010}, pages = {14}, abstract = {BACKGROUND: In computer supported outbreak detection, a statistical method is applied to a collection of cases to detect any excess cases for a particular disease. Whether a detected aberration is a true outbreak is decided by a human expert. We present a technical framework designed and implemented at the Swedish Institute for Infectious Disease Control for computer supported outbreak detection, where a database of case reports for a large number of infectious diseases can be processed using one or more statistical methods selected by the user. RESULTS: Based on case information, such as diagnosis and date, different statistical algorithms for detecting outbreaks can be applied, both on the disease level and the subtype level. The parameter settings for the algorithms can be configured independently for different diagnoses using the provided graphical interface. Input generators and output parsers are also provided for all supported algorithms. If an outbreak signal is detected, an email notification is sent to the persons listed as receivers for that particular disease. CONCLUSIONS: The framework is available as open source software, licensed under GNU General Public License Version 3. By making the code open source, we wish to encourage others to contribute to the future development of computer supported outbreak detection systems, and in particular to the development of the CASE framework.}, author = {Cakici, Baki and Hebing, Kenneth and Gr{\"u}newald, Maria and Saretok, Paul and Hulth, Anette} } @article {1013, title = {Combining vital events registration, verbal autopsy and electronic medical records in rural Ghana for improved health services delivery.}, journal = {Stud Health Technol Inform}, volume = {160}, year = {2010}, month = {2010}, pages = {416-20}, abstract = {

This paper describes the process of implementing a low-cost {\textquoteright}real-time{\textquoteright} vital registration and verbal autopsy system integrated within an electronic medical record within the Millennium Village cluster in rural Ghana. Using MGV-Net, an open source health information architecture built around the OpenMRS platform, a total of 2378 births were registered between January 2007 and June 2009. The percentage of births registered in the health facility under supervision of a skilled attendant increased substantially over the course of the project from median of 35\% in 2007 to 64\% in 2008 and 85\% midway through 2009. Building additional clinics to reduce distance to facility and using the CHEWs to refer women for delivery in the clinics are possible explanations for the success in the vital registration. The integration of vital registration and verbal autopsies with the MGV-Net information system makes it possible for rapid assessment of effectiveness and provides important feedback to local providers and the Millennium Villages Project.

}, keywords = {Cause of Death, Database Management Systems, Delivery of Health Care, electronic health records, Ghana, Medical Record Linkage, Quality Assurance, Health Care, Quality Improvement, Registries, Rural Health Services, Vital Statistics}, issn = {0926-9630}, author = {Ohemeng-Dapaah, Seth and Pronyk, Paul and Akosa, Eric and Nemser, Bennett and Kanter, Andrew S} } @proceedings {513, title = {Comprehensive Yet Scalable Health Information Systems for Low Resource Settings: A Collaborative Effort in Sierra Leone}, year = {2010}, month = {11/2010}, abstract = {We address the problem of how to integrate health informa- tion systems in low-income African countries in which techni- cal infrastructure and human resources vary wildly within countries. We describe a set of tools to meet the needs of dif- ferent service areas including managing aggregate indicators, patient level record systems, and mobile tools for community outreach. We present the case of Sierra Leone and use this case to motivate and illustrate an architecture that allows us to provide services at each level of the health system (na- tional, regional, facility and community) and provide different configurations of the tools as appropriate for the individual area. Finally, we present a, collaborative implementation of this approach in Sierra Leone.}, url = {http://proceedings.amia.org/127frh}, author = {Braaa, J{\o}rn and Kanterb, Andrew S. and Leshc, Neal and Crichtond, Ryan and Jolliffea, Bob and S{\ae}b{\o}e, Johan and Kossia, Edem and Seebregts, Christopher J} } @article {20118730, title = {Computer-aided volumetric comparison of reconstructed orbits for blow-out fractures with nonpreformed versus 3-dimensionally preformed titanium mesh plates: a preliminary study.}, journal = {Journal of computer assisted tomography}, volume = {34}, year = {2010}, month = {2010 Jan}, pages = {98-104}, abstract = {OBJECTIVES: To compare and evaluate, using computer-aided volumetric measurements, the accuracy and reliability of nonpreformed mesh plates (NPMPs) versus 3-dimensionally preformed titanium mesh plates (PMPs) in posttraumatic orbital volume restoration. PATIENTS AND METHODS: Facial coronal computed tomographic scan slices from 20 patients (10 in the NPMP and 10 in the PMP group) were used to measure bony orbital volume using OsiriX Medical Image software (version 3.3.2, www.osirix-viewer.com). The procedure was performed on both orbits; thereafter, the volume of the contralateral health orbit was used as a control for comparison in the 2 groups of patients. The difference in orbital volume between the 2 groups and between the reconstructed versus uninjured side in both groups have been statistically correlated. RESULTS: The mean orbital volume between the reconstructed (19.215 mL in NPMP and 21.791 mL in PMP) and the contralateral uninjured side (18.955 mL in NPMP and 21.710 mL in PMP) was not statistically significant (P > 0.05). The mean orbital volumes of the reconstructed orbits were 19.215 mL in the NPMP and 21.791 mL in the PMP group, with no statistically significant difference (P > 0.05). The volume data of the reconstructed orbit fitted that of the contralateral uninjured orbit with an accuracy of a maximum of 1.85 mL in the NPMP group and 2.5 mL in the PMP group. CONCLUSIONS: The current study demonstrated that there were no significant differences in the orbital volume restoration using either technique. In fact, both techniques allow for close reproduction of natural orbital volume and shape, and its use in posttraumatic orbital wall reconstruction was successful.}, author = {Scolozzi, Paolo and Momjian, Armen and Heuberger, Joris} } @article {873, title = {The caBIG terminology review process.}, journal = {J Biomed Inform}, volume = {42}, year = {2009}, month = {2009 Jun}, pages = {571-80}, abstract = {

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

}, keywords = {Medical Informatics, National Institutes of Health (U.S.), Terminology as Topic, United States}, issn = {1532-0480}, doi = {10.1016/j.jbi.2008.12.003}, author = {Cimino, James J and Hayamizu, Terry F and Bodenreider, Olivier and Davis, Brian and Stafford, Grace A and Ringwald, Martin} } @conference {1086, title = {Commercial Open Source RIS/PACS: The ClearCanvas Experience}, 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 = {10.5220/0001827400220027}, author = {Norman Young and Clinton Chau and John Adziovsky} } @conference {1088, title = {Concept Matching between OpenEHR and SONHO}, 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 = {10.5220/0001828400450053}, author = {Ricardo Cruz-Correia and Carla {\'A}vila and Rong Chen} } @article {18999296, title = {caBIG compatibility review system: software to support the evaluation of applications using defined interoperability criteria.}, journal = {AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium}, year = {2008}, month = {2008}, pages = {197-201}, abstract = {The caBIG Compatibility Review System (CRS) is a web-based application to support compatibility reviews, which certify that software applications that pass the review meet a specific set of criteria that allow them to interoperate. The CRS contains workflows that support both semantic and syntactic reviews, which are performed by the caBIG Vocabularies and Common Data Elements (VCDE) and Architecture workspaces, respectively. The CRS increases the efficiency of compatibility reviews by reducing administrative overhead and it improves uniformity by ensuring that each review is conducted according to a standard process. The CRS provides metrics that allow the review team to evaluate the level of data element reuse in an application, a first step towards quantifying the extent of harmonization between applications. Finally, functionality is being added that will provide automated validation of checklist criteria, which will further simplify the review process.}, author = {Freimuth, Robert R and Schauer, Michael W and Lodha, Preeti and Govindrao, Poornima and Nagarajan, Rakesh and Chute, Christopher G} } @article {18096909, title = {caGrid 1.0: an enterprise Grid infrastructure for biomedical research.}, journal = {Journal of the American Medical Informatics Association : JAMIA}, volume = {15}, year = {2008}, month = {2008 Mar-Apr}, pages = {138-49}, abstract = {OBJECTIVE: To develop software infrastructure that will provide support for discovery, characterization, integrated access, and management of diverse and disparate collections of information sources, analysis methods, and applications in biomedical research. DESIGN: An enterprise Grid software infrastructure, called caGrid version 1.0 (caGrid 1.0), has been developed as the core Grid architecture of the NCI-sponsored cancer Biomedical Informatics Grid (caBIG) program. It is designed to support a wide range of use cases in basic, translational, and clinical research, including 1) discovery, 2) integrated and large-scale data analysis, and 3) coordinated study. MEASUREMENTS: The caGrid is built as a Grid software infrastructure and leverages Grid computing technologies and the Web Services Resource Framework standards. It provides a set of core services, toolkits for the development and deployment of new community provided services, and application programming interfaces for building client applications. RESULTS: The caGrid 1.0 was released to the caBIG community in December 2006. It is built on open source components and caGrid source code is publicly and freely available under a liberal open source license. The core software, associated tools, and documentation can be downloaded from the following URL: https://cabig.nci.nih.gov/workspaces/Architecture/caGrid. CONCLUSIONS: While caGrid 1.0 is designed to address use cases in cancer research, the requirements associated with discovery, analysis and integration of large scale data, and coordinated studies are common in other biomedical fields. In this respect, caGrid 1.0 is the realization of a framework that can benefit the entire biomedical community.}, author = {Oster, Scott and Langella, Stephen and Hastings, Shannon and Ervin, David and Madduri, Ravi and Phillips, Joshua and Kurc, Tahsin and Siebenlist, Frank and Covitz, Peter and Shanbhag, Krishnakant and Foster, Ian and Saltz, Joel} } @article {18318594, title = {Could an open-source clinical trial data-management system be what we have all been looking for?}, journal = {PLoS medicine}, volume = {5}, year = {2008}, month = {2008 Mar 4}, pages = {e6}, doi = {10.1371/journal.pmed.0050006}, url = {http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0050006}, author = {Fegan, Greg W and Lang, Trudie A} } @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 {17238397, title = {Cooking up an open source EMR for developing countries: OpenMRS - a recipe for successful collaboration.}, journal = {AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium}, year = {2006}, month = {2006}, pages = {529-33}, abstract = {Millions of people are continue to die each year from HIV/AIDS. The majority of infected persons (>95\%) live in the developing world. A worthy response to this pandemic will require coordinated, scalable, and flexible information systems. We describe the OpenMRS system, an open source, collaborative effort that can serve as a foundation for EMR development in developing countries. We report our progress to date, lessons learned, and future directions.}, url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1839638}, author = {Mamlin, Burke W and Biondich, Paul G and Wolfe, Ben A and Fraser, Hamish and Jazayeri, Darius and Allen, Christian and Miranda, Justin and Tierney, William M} } @article {10.1109/HICSS.2005.166, title = {Contrasting Community Building in Sponsored and Community Founded Open Source Projects}, journal = {Hawaii International Conference on System Sciences}, volume = {7}, year = {2005}, pages = {196c}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, issn = {1530-1605}, doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2005.166}, author = {Joel West and Siobh{\'a}n O{\textquoteright}Mahony} }