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dc.contributor.authorFraser, Hamish S.F.
dc.contributor.authorThomas, David K
dc.contributor.authorTomaylla, Juan
dc.contributor.authorGarcia, Nadia
dc.contributor.authorLecca, Leonid
dc.contributor.authorMurray, Megan Blanche
dc.contributor.authorBecerra, Mercedes C.
dc.date.accessioned2013-10-16T15:47:30Z
dc.date.issued2012
dc.identifier.citationFraser, Hamish S.F., David K Thomas, Juan Tomaylla, Nadia Garcia, Leonid Lecca, Megan Blanche Murray, and Mercedes C Becerra. 2012. Adaptation of a web-based, open source electronic medical record system platform to support a large study of tuberculosis epidemiology. BMC Medical Informatics and Decision Making 12: 125.en_US
dc.identifier.issn1472-6947en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:11178536
dc.description.abstractBackground: In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched. Results: Data collection in the OpenMRS system began in September 2009. By August 2011 a total of 9,256 participants had been enrolled, 102,274 forms and 13,829 laboratory results had been entered, and there were 208 users. The system is now entirely supported by the Peruvian study staff and programmers. Conclusions: The information system served the study objectives well despite requiring some significant adaptations mid-stream. OpenMRS has more tools and capabilities than it did in 2008, and requires less adaptations for future projects. OpenMRS can be an effective research data system in resource poor environments, especially for organizations using or considering it for clinical care as well as research.en_US
dc.language.isoen_USen_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofdoi:10.1186/1472-6947-12-125en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531253/pdf/en_US
dash.licenseLAA
dc.subjectElectronic medical recorden_US
dc.subjectDeveloping countryen_US
dc.subjectMultidrug-resistant tuberculosisen_US
dc.subjectMDR-TBen_US
dc.titleAdaptation of a Web-Based, Open Source Electronic Medical Record System Platform to Support a Large Study of Tuberculosis Epidemiologyen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalBMC Medical Informatics and Decision Makingen_US
dash.depositing.authorBecerra, Mercedes C.
dc.date.available2013-10-16T15:47:30Z
dc.identifier.doi10.1186/1472-6947-12-125*
dash.contributor.affiliatedThomas, David K
dash.contributor.affiliatedFraser, Hamish S. F.
dash.contributor.affiliatedBecerra, Mercedes
dash.contributor.affiliatedMurray, Megan


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