Conversion of National Health Insurance Service-National Sample Cohort (NHIS-NSC) Database into Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM)

• Published in: Studies in health technology and informatics Vol. 245; p. 467
• Main Authors: You, Seng Chan, Lee, Seongwon, Cho, Soo-Yeon, Park, Hojun, Jung, Sungjae, Cho, Jaehyeong, Yoon, Dukyong, Park, Rae Woong
• Format: Journal Article
• Language: English
• Published: Netherlands 2017
• Subjects: Database; Medical Informatics Application; Delivery of Health Care
• ISSN: 0926-9630
• DOI: 10.3233/978-1-61499-830-3-467

It is increasingly necessary to generate medical evidence applicable to Asian people compared to those in Western countries. Observational Health Data Sciences a Informatics (OHDSI) is an international collaborative which aims to facilitate generating high-quality evidence via creating and applying open-source data analytic solutions to a large network of health databases across countries. We aimed to incorporate Korean nationwide cohort data into the OHDSI network by converting the national sample cohort into Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM). The data of 1.13 million subjects was converted to OMOP-CDM, resulting in average 99.1% conversion rate. The ACHILLES, open-source OMOP-CDM-based data profiling tool, was conducted on the converted database to visualize data-driven characterization and access the quality of data. The OMOP-CDM version of National Health Insurance Service-National Sample Cohort (NHIS-NSC) can be a valuable tool for multiple aspects of medical research by incorporation into the OHDSI research network.