The Case and Implications of Terminology Mapping for Development of Dankook University Hospital EHR-Based MOA CDM

단국대학교병원 EHR 기반 MOA CDM 구축을 위한 용어 매핑 사례와 시사점

  • Yookyung Boo (Department of Health Administration, College of Health Science, Dankook University) ;
  • Sihyun Song (Department of Healthcare Service Management, Graduate School of Health and Welfare, Dankook University) ;
  • Jihwan Park (College of Liberal Arts, Dankook University) ;
  • Mi Jung Rho (College of Health Science, Dankook University)
  • 부유경 (단국대학교 보건과학대학) ;
  • 송시현 (단국대학교 보건복지대학원) ;
  • 박지환 (단국대학교 자유교양대학) ;
  • 노미정 (단국대학교 보건과학대학)
  • Received : 2023.03.15
  • Accepted : 2024.01.09
  • Published : 2024.03.30

Abstract

Purposes: The Common Data Model(CDM) is very important for multi-institutional research. There are various domestic and international CDM construction cases to actively utilize it. In order to construct a CDM, different terms from each institution must be mapped to standard terms. Therefore, we intend to derive the importance and major issues of terminology mapping and propose a solution in CDM construction. Methodology/Approach: This study conducted terminology mapping between Electronic Health Record(EHR) and MOA CDM for constructing Medical Record Observation & Assessment for Drug Safety(MOA) CDM at Dankook University Hospital in 2022. In the process of terminology mapping, a CDM standard terminology process and method were developed and terminology mapping was performed by applying this. The constructions of CDM mapping terms proceeded in the order of diagnosis, drug, measurement, and treatment_procedure. Findings: We developed mapping guideline for CDM construction and used this for mapping. A total of 670,993 EHR data from Dankook University Hospital(January 1, 2013 to December 31, 2021) were mapped. In the case of diagnosis terminology, 19,413 were completely mapped. Drug terminology mapped 92.1% of 2,795. Measurement terminology mapped 94.5% of 7,254 cases. Treatment and procedure were mapped to 2,181 cases, which are the number of mapping targets. Practical Implications: This study found the importance of constructing MOA CDM for drug side effect monitoring and developed terminology mapping guideline. Our results would be useful for all future researchers who are conducting terminology mapping when constructing CDM.

Keywords

Acknowledgement

이 연구는 2022년도, 2024년 한국의약품안전관리원 용역 사업비 지원으로 연구되었음.

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