Conversion of National Health Insurance Service-National Sample Cohort (NHIS-NSC) Database into Observational Medical Outcomes Partnership- Common Data Model (OMOP-CDM)
It is increasingly necessary to generate medical evidence applicable to Asian people compared to those in Western countries. Observational Health Data Sciences and 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.
Delivery of Health Care Medical Informatics Application Database
Seng Chan You Seongwon Lee Soo-Yeon Cho Hojun Park Sungjae Jung Jaehyeong Cho Dukyong Yoon Rae Woong Park
Department of Biomedical Informatics,Ajou University School of Medicine,Suwon,Korea Center for Education Artificial Intelligence,Dankook University,Yongin,Korea Department of Biomedical Informatics,Ajou University School of Medicine,Suwon,Korea;BrainKorea21 (BK
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
467-470
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）