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

Clinical Informatics (1160) Electronic Health Records (1181) Ontologies, Classifications, and Coding (270) Generative Language Models Including ChatGPT (492) Foundation Models and Their Applications in AI (24) Research Instruments, Questionnaires, and Tools (663) Knowledge Translation and Implementation Science (442)

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
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