Multi-Center Healthcare Data Quality Measurement Model and Assessment Using OMOP CDM
Source abstract
Abstract
Healthcare data has economic value and is evaluated as such. Therefore, it attracted global attention from observational and clinical studies alike. Recently, the importance of data quality research emerged in healthcare data research. Various studies are being conducted on this topic. In this study, we propose a DQ4HEALTH model that can be applied to healthcare when reviewing existing data quality literature. The model includes 5 dimensions and 415 validation rules. The four evaluation indicators include the net pass rate (NPR), weighted pass rate (WPR), net dimensional pass rate (NDPR), and weighted dimensional pass rate (WDPR). They were used to evaluate the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) at three medical institutions. These indicators identify differences in data quality between the institutions. The NPRs of the three institutions (A, B, and C) were 96.58%, 90.08%, and 90.87%, respectively, and the WPR was 98.52%, 94.26%, and 94.81%, respectively. In the quality evaluation of the dimensions, the consistency was 70.06% of the total error data. The WDPRs were 98.22%, 94.74%, and 95.05% for institutions A, B, and C, respectively. This study presented indices for comparing quality evaluation models and quality in the healthcare field. Using these indices, medical institutions can evaluate the quality of their data and suggest practical directions for decreasing errors.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Data Quality and Management · Electronic Health Records Systems · Data-Driven Disease Surveillance
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Biomedicine & Health Sciences, The Cathlic University of Korea, Seoul 06591, Korea
Department of Medical Informatics, College of Medicine, The Cathlic University of Korea, Seoul 06591, Korea
Department of Ophthalmology, Yeouido St. Mary’s Hospital, The Cathlic University of Korea, Seoul 06591, Korea
Department of Ophthalmology and Visual Science, St. Vincent’s Hospital, College of Medicine, The Cathlic University of Korea, Seoul 06591, Korea
Department of Psychiatry, Seoul St. Mary’s Hospital, College of Medicine, The Cathlic University of Korea, Seoul 06591, Korea
Funding
the Ministry of Trade, Industry & Energy (MOTIE, Korea)
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