Multi-Center Healthcare Data Quality Measurement Model and Assessment Using OMOP CDM

Healthcare data has economic value and is evaluated as such. Therefore, it attracted global attention from observational clinical studies alike. Recently, the importance of quality research emerged in healthcare research. Various are being conducted on this topic. In study, we propose a DQ4HEALTH model that can be applied to when reviewing existing literature. The includes 5 dimensions 415 validation rules. four evaluation indicators include net pass rate (NPR), weighted (WPR), dimensional (NDPR), (WDPR). They were used evaluate Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) at three medical institutions. These identify differences between NPRs institutions (A, B, C) 96.58%, 90.08%, 90.87%, respectively, WPR was 98.52%, 94.26%, 94.81%, respectively. dimensions, consistency 70.06% total error data. WDPRs 98.22%, 94.74%, 95.05% for A, C, This study presented indices comparing models field. Using these indices, their suggest practical directions decreasing errors.