J Am Med Inform Assoc - Using the CER Hub to ensure data quality in a multi-institution smoking cessation study.

Tópicos

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Resumo

Comparative effectiveness research (CER) studies involving multiple institutions with diverse electronic health records (EHRs) depend on high quality data. To ensure uniformity of data derived from different EHR systems and implementations, the CER Hub informatics platform developed a quality assurance (QA) process using tools and data formats available through the CER Hub. The QA process, implemented here in a study of smoking cessation services in primary care, used the 'emrAdapter' tool programmed with a set of quality checks to query large samples of primary care encounter records extracted in accord with the CER Hub common data framework. The tool, deployed to each study site, generated error reports indicating data problems to be fixed locally and aggregate data sharable with the central site for quality review. Across the CER Hub network of six health systems, data completeness and correctness issues were prevalent in the first iteration and were considerably improved after three iterations of the QA process. A common issue encountered was incomplete mapping of local EHR data values to those defined by the common data framework. A highly automated and distributed QA process helped to ensure the correctness and completeness of patient care data extracted from EHRs for a multi-institution CER study in smoking cessation.

Resumo Limpo

compar effect research cer studi involv multipl institut divers electron health record ehr depend high qualiti data ensur uniform data deriv differ ehr system implement cer hub informat platform develop qualiti assur qa process use tool data format avail cer hub qa process implement studi smoke cessat servic primari care use emradapt tool program set qualiti check queri larg sampl primari care encount record extract accord cer hub common data framework tool deploy studi site generat error report indic data problem fix local aggreg data sharabl central site qualiti review across cer hub network six health system data complet correct issu preval first iter consider improv three iter qa process common issu encount incomplet map local ehr data valu defin common data framework high autom distribut qa process help ensur correct complet patient care data extract ehr multiinstitut cer studi smoke cessat

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