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

Clinical Informatics (1325) Electronic Health Records (1319) Ontologies, Classifications, and Coding (324) Generative Language Models Including ChatGPT (708) Foundation Models and Their Applications in AI (51) Research Instruments, Questionnaires, and Tools (738) Knowledge Translation and Implementation Science (513)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69004, first published .
Breaking Digital Health Barriers Through a Large Language Model–Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study

Breaking Digital Health Barriers Through a Large Language Model–Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study

Breaking Digital Health Barriers Through a Large Language Model–Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study

Authors of this article:

Meredith CB Adams1 Author Orcid Image ;   Matthew L Perkins2 Author Orcid Image ;   Cody Hudson2 Author Orcid Image ;   Vithal Madhira3 Author Orcid Image ;   Oguz Akbilgic4 Author Orcid Image ;   Da Ma5 Author Orcid Image ;   Robert W Hurley6 Author Orcid Image ;   Umit Topaloglu2, 7 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Adams M, Bowness J, Nelson A, Hurley R, Narouze S. A roadmap for artificial intelligence in pain medicine: current status, opportunities, and requirements. Current Opinion in Anaesthesiology 2025;38(5):680 View
  2. Lin A, Wang Z, Jiang A, Chen L, Qi C, Zhu L, Mou W, Gan W, Zeng D, Xiao M, Chu G, Peng S, Wong H, Zhang L, Zhang H, Deng X, Wang Y, Zhang J, Cheng Q, Tang B, Luo P. Large language models in clinical trials: applications, technical advances, and future directions. BMC Medicine 2025;23(1) View
  3. Adams M, Hurley R, Bartels K, Perkins M, Hudson C, Topaloglu U, Cobb J, Reuter-Rice K, Stocking J, Khanna A. Extending the Observational Medical Outcomes Partnership (OMOP) Common Data Model for Critical Care Medicine: A Framework for Standardizing Complex ICU Data Using the Society of Critical Care Medicine’s Critical Care Data Dictionary (C2D2). Critical Care Medicine 2025 View