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

Meredith CB Adams   1 , MS, MD ;   Matthew L Perkins   2 , BS ;   Cody Hudson   2 , MS ;   Vithal Madhira   3 , MS ;   Oguz Akbilgic   4 , DBA, PhD ;   Da Ma   5 , PhD ;   Robert W Hurley   6 , MD, PhD ;   Umit Topaloglu   2, 7 , PhD

1 Department of Anesthesiology, Artificial Intelligence, Translational Neuroscience, and Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States

2 Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, United States

3 Palila Software LLC, Reno, NV, United States

4 Department of Cardiovascular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States

5 Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States

6 Department of Anesthesiology, Translational Neuroscience, and Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, United States

7 Clinical Translational Research Informatics Branch, National Cancer Institute, Bethesda, MD, United States

Corresponding Author:

  • Meredith CB Adams, MS, MD
  • Department of Anesthesiology, Artificial Intelligence, Translational Neuroscience, and Public Health Sciences
  • Wake Forest University School of Medicine
  • Medical Center Boulevard
  • Winston-Salem, NC, 27157
  • United States
  • Phone: 1 13367162255
  • Email: meradams@wakehealth.edu