This paper is in the following e-collection/theme issue:

AI Language Models in Health Care (180) Clinical Informatics (1283) Natural Language Processing (886) Innovations in Clinical Trials and Research Data Management (120) Ontologies, Classifications, and Coding (317) mHealth in a Clinical Setting (729) Generative Language Models Including ChatGPT (657) Applications of AI (264)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71252, first published .
Large Language Models for Automating Clinical Trial Criteria Conversion to Observational Medical Outcomes Partnership Common Data Model Queries: Validation and Evaluation Study

Large Language Models for Automating Clinical Trial Criteria Conversion to Observational Medical Outcomes Partnership Common Data Model Queries: Validation and Evaluation Study

Large Language Models for Automating Clinical Trial Criteria Conversion to Observational Medical Outcomes Partnership Common Data Model Queries: Validation and Evaluation Study

Authors of this article:

Kye Hwa Lee1 Author Orcid Image ;   Sujung Jang2 Author Orcid Image ;   Grace Juyun Kim3 Author Orcid Image ;   Sukyoung Park2 Author Orcid Image ;   Doeun Kim2 Author Orcid Image ;   Oh Jin Kwon3 Author Orcid Image ;   Jae-Ho Lee4 Author Orcid Image ;   Young-Hak Kim5 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Kye Hwa Lee   1 , MD, PhD ;   Sujung Jang   2 , BEng ;   Grace Juyun Kim   3 , PharmD, PhD ;   Sukyoung Park   2 , MSc ;   Doeun Kim   2 , MSc ;   Oh Jin Kwon   3 , BSc ;   Jae-Ho Lee   4 , MD, PhD ;   Young-Hak Kim   5 , MD, PhD

1 Department of Information Medicine, Department of Digital Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

2 Department of Biomedical Engineering, AMIST, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

3 Big Data Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea

4 Department of Emergency Medicine, Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

5 Division of Cardiology, Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

Corresponding Author:

  • Kye Hwa Lee, MD, PhD
  • Department of Information Medicine, Department of Digital Medicine
  • Asan Medical Center, University of Ulsan College of Medicine
  • 88 Olympic-ro 43-gil, Songpa-gu
  • Seoul 05505
  • Republic of Korea
  • Phone: 82 10-3010-5991
  • Fax: 82 2-3010-2531
  • Email: eva@amc.seoul.kr