Journal of the American Medical Informatics Association · 2012 · 66 citations · 4 references
PharmacyBiomedical InformaticsTranslational SciencesClinical Data ManagementClinical InformaticsTranslational MedicineData ExchangeData MappingData ReviewResearch Data ManagementBiomedical Data IntegrationClinical Data RepositoriesClinical Data WarehousesData RepositoriesData Sources EvaluationResearch Data Repositories
Clinical integrated data repositories (IDRs) are poised to become a foundational element of biomedical and translational research by providing coordinated data sources for retrospective analytics and prospective subject recruitment. The study aims to describe major trends and emerging practices in IDR implementation. The CTSA consortium’s Informatics IDR Group surveyed 46 national CTSA centers with a web‑based questionnaire adapted from a 2008 survey to assess IDR trends between 2008 and 2010. Thirty‑five organizations (74%) completed the survey, and results indicate that institutions are advancing their development, management, and use of IDRs to support diverse research.
Clinical integrated data repositories (IDRs) are poised to become a foundational element of biomedical and translational research by providing the coordinated data sources necessary to conduct retrospective analytic research and to identify and recruit prospective research subjects. The Clinical and Translational Science Award (CTSA) consortium's Informatics IDR Group conducted a survey of 2010 consortium members to evaluate recent trends in IDR implementation and use to support research between 2008 and 2010. A web-based survey based in part on a prior 2008 survey was developed and deployed to 46 national CTSA centers. A total of 35 separate organizations completed the survey (74%), representing 28 CTSAs and the National Institutes of Health Clinical Center. Survey results suggest that individual organizations are progressing in their approaches to the development, management, and use of IDRs as a means to support a broad array of research. We describe the major trends and emerging practices below.
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Paul A. Harris, Robert Taylor, Robert J. Thielke et al. · Journal of Biomedical Informatics · 2008 · 51.7K citations · Full text
Integration of clinical and genetic data in the i2b2 architecture.
Shawn N. Murphy, Michael Mendis, David A. Berkowitz et al. · PubMed · 2006 · 130 citations