Korean Circulation Journal

  • 제52권12호
  • /
  • Pages.853-864
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  • 2022
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  • 1738-5520(pISSN)
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  • 1738-5555(eISSN)
대한심장학회 (The Korean Society of Cardiology)
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Establishment of an International Evidence Sharing Network Through Common Data Model for Cardiovascular Research

  • Seng Chan You (Department of Biomedical Systems Informatics, Yonsei University College of Medicine) ;
  • Seongwon Lee (Department of Biomedical Informatics, Ajou University School of Medicine) ;
  • Byungjin Choi (Department of Biomedical Informatics, Ajou University School of Medicine) ;
  • Rae Woong Park (Department of Biomedical Informatics, Ajou University School of Medicine)
  • 투고 : 2022.11.01
  • 심사 : 2022.11.10
  • 발행 : 2022.12.01
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초록

A retrospective observational study is one of the most widely used research methods in medicine. However, evidence postulated from a single data source likely contains biases such as selection bias, information bias, and confounding bias. Acquiring enough data from multiple institutions is one of the most effective methods to overcome the limitations. However, acquiring data from multiple institutions from many countries requires enormous effort because of financial, technical, ethical, and legal issues as well as standardization of data structure and semantics. The Observational Health Data Sciences and Informatics (OHDSI) research network standardized 928 million unique records or 12% of the world's population into a common structure and meaning and established a research network of 453 data partners from 41 countries around the world. OHDSI is a distributed research network wherein researchers do not own or directly share data but only analyzed results. However, sharing evidence without sharing data is difficult to understand. In this review, we will look at the basic principles of OHDSI, common data model, distributed research networks, and some representative studies in the cardiovascular field using the network. This paper also briefly introduces a Korean distributed research network named FeederNet.

키워드

과제정보

This work was supported by the Bio Industrial Strategic Technology Development Program (20003883, 20005021) funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea), and grants from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute, funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HR16C0001, HG22C0024).

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