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

Artificial Intelligence (2144) Machine Learning (2081) AI Language Models in Health Care (206) Electronic Health Records (1322) Adoption and Change Management of eHealth Systems (897) Health Information Exchange (147) Organizational Issues (222)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76126, first published .
Adoption of Machine Learning in US Hospital Electronic Health Record Systems: Retrospective Observational Study

Adoption of Machine Learning in US Hospital Electronic Health Record Systems: Retrospective Observational Study

Adoption of Machine Learning in US Hospital Electronic Health Record Systems: Retrospective Observational Study

Authors of this article:

Huang Huang1 Author Orcid Image ;   Wei Lyu2 Author Orcid Image ;   Md Mahmud Hasan3 Author Orcid Image ;   Shannon H Houser2 Author Orcid Image
Article Authors Cited by Tweetations (4) Metrics

Huang Huang   1 , PhD ;   Wei Lyu   2 , PhD ;   Md Mahmud Hasan   3 , MS ;   Shannon H Houser   2 , MPH, PhD

1 Department of Health Management, Economics and Policy, School of Public Health, Augusta University, Augusta, GA, United States

2 Department of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL, United States

3 Department of Biostatistics, Data Science and Epidemiology, School of Public Health, Augusta University, Augusta, GA, United States

Corresponding Author:

  • Huang Huang, PhD
  • Department of Health Management, Economics and Policy
  • School of Public Health, Augusta University
  • 2500 Walton Way, Science Hall, E-1031
  • Augusta, GA 30904
  • United States
  • Phone: 1 8595519185
  • Email: huhuang@augusta.edu