J Am Med Inform Assoc - Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research.

Tópicos

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Resumo

JECTIVE: To review the methods and dimensions of data quality assessment in the context of electronic health record (EHR) data reuse for research.MATERIALS AND METHODS: A review of the clinical research literature discussing data quality assessment methodology for EHR data was performed. Using an iterative process, the aspects of data quality being measured were abstracted and categorized, as well as the methods of assessment used.RESULTS: Five dimensions of data quality were identified, which are completeness, correctness, concordance, plausibility, and currency, and seven broad categories of data quality assessment methods: comparison with gold standards, data element agreement, data source agreement, distribution comparison, validity checks, log review, and element presence.DISCUSSION: Examination of the methods by which clinical researchers have investigated the quality and suitability of EHR data for research shows that there are fundamental features of data quality, which may be difficult to measure, as well as proxy dimensions. Researchers interested in the reuse of EHR data for clinical research are recommended to consider the adoption of a consistent taxonomy of EHR data quality, to remain aware of the task-dependence of data quality, to integrate work on data quality assessment from other fields, and to adopt systematic, empirically driven, statistically based methods of data quality assessment.CONCLUSION: There is currently little consistency or potential generalizability in the methods used to assess EHR data quality. If the reuse of EHR data for clinical research is to become accepted, researchers should adopt validated, systematic methods of EHR data quality assessment.

Resumo Limpo

jectiv review method dimens data qualiti assess context electron health record ehr data reus researchmateri method review clinic research literatur discuss data qualiti assess methodolog ehr data perform use iter process aspect data qualiti measur abstract categor well method assess usedresult five dimens data qualiti identifi complet correct concord plausibl currenc seven broad categori data qualiti assess method comparison gold standard data element agreement data sourc agreement distribut comparison valid check log review element presencediscuss examin method clinic research investig qualiti suitabl ehr data research show fundament featur data qualiti may difficult measur well proxi dimens research interest reus ehr data clinic research recommend consid adopt consist taxonomi ehr data qualiti remain awar taskdepend data qualiti integr work data qualiti assess field adopt systemat empir driven statist base method data qualiti assessmentconclus current littl consist potenti generaliz method use assess ehr data qualiti reus ehr data clinic research becom accept research adopt valid systemat method ehr data qualiti assess

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