한빛사논문
Ji-Woo Kim1,7, Chungsoo Kim2,7, Kyoung-Hoon Kim3, Yujin Lee3, Dong HanYu1, JeongwonYun1, Hyeran Baek1, RaeWoong Park2,4,8 & SengChanYou5,6,8
1Big Data Department, Health Insurance Review and Assessment Service, Wonju, Republic of Korea.
2Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea.
3Review and Assessment Research Department, Health Insurance Review and Assessment Service, Wonju, Republic of Korea.
4Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.
5Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.
6Institution for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea.
7These authors contributed equally: Ji-Woo Kim, Chungsoo Kim.
8These authors jointly supervised this work: Rae Woong Park, Seng Chan You.
Corresponding authors : Correspondence to Rae Woong Park or Seng Chan You.
Abstract
Transparent and FAIR disclosure of meta-information about healthcare data and infrastructure is essential but has not been well publicized. In this paper, we provide a transparent disclosure of the process of standardizing a common data model and developing a national data infrastructure using national claims data. We established an Observational Medical Outcome Partnership (OMOP) common data model database for national claims data of the Health Insurance Review and Assessment Service of South Korea. To introduce a data openness policy, we built a distributed data analysis environment and released metadata based on the FAIR principle. A total of 10,098,730,241 claims and 56,579,726 patients’ data were converted as OMOP common data model. We also built an analytics environment for distributed research and made the metadata publicly available. Disclosure of this infrastructure to researchers will help to eliminate information inequality and contribute to the generation of high-quality medical evidence.
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