title: Data standards in diabetes patient registries.
abstract: Widespread adoption of electronic health records (EHRs) and expansion of patient registries present opportunities to improve patient care and population health and advance translational research. However, optimal integration of patient registries with EHR functions and aggregation of regional registries to support national or global analyses will require the use of standards. Currently, there are no standards for patient registries and no content standards for health care data collection or clinical research, including diabetes research. Data standards can facilitate new registry development by supporting reuse of well-defined data elements and data collection systems, and they can enable data aggregation for future research and discovery. This article introduces standardization topics relevant to diabetes patient registries, addresses issues related to the quality and use of registries and their integration with primary EHR data collection systems, and proposes strategies for implementation of data standards in diabetes research and management.
authors: Department of Pediatrics, University of South Florida College of Medicine, Tampa, Florida, USA. Rachel.Richesson@epi.usf.edu
authors: Rachel L
authors: RL
authors: Richesson
mesh_terms: D003625:Data Collection; D003920:Diabetes Mellitus / Q000175:diagnosis* / Q000473:pathology; D006801:Humans; D007256:Information Systems / Q000592:standards*; D016347:Medical Records Systems, Computerized / Q000458:organization & administration / Q000592:standards; D016730:Program Development; D011786:Quality Control; D016032:Randomized Controlled Trials as Topic; D012042:Registries / Q000592:standards*; D057170:Translational Research, Biomedical / Q000379:methods; D014481:United States