Scalable Infrastructure Supporting Reproducible Nationwide Healthcare Data Analysis toward FAIR Stewardship

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 natio...

Full description

Saved in:
Bibliographic Details
Published in:Scientific data 2023-10, Vol.10 (1), p.674-674, Article 674
Main Authors: Kim, Ji-Woo, Kim, Chungsoo, Kim, Kyoung-Hoon, Lee, Yujin, Yu, Dong Han, Yun, Jeongwon, Baek, Hyeran, Park, Rae Woong, You, Seng Chan
Format: Article
Language:English
Subjects:
692/308/174
692/308/409
692/700/478/174
706/648/697/129
Coronaviruses
COVID-19
Data analysis
Data models
Electronic data interchange
Health care
Health insurance
Humanities and Social Sciences
Informatics
Infrastructure
Metadata
multidisciplinary
Patients
Reproducibility
Science
Science (multidisciplinary)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-023-02580-7