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

Artificial Intelligence (5058) Adoption and Change Management of eHealth Systems (1165) Organizational Issues (273) Electronic Health Records (1799) Health Information Exchange (242) Machine Learning (3353) AI Language Models in Health Care (841)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76126, first published .
Medical professionals in blue scrubs and white coats review patient data on computers.

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 (9) Tweetations (4) Metrics

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  1. H.M. Sobh A, Hamad M, Al-Khayyat N, Khawam R, Mahmoud R, Abdul Razaq M, Husain R, Mohammed A, Hasson A, Hamid A, Fakhri A. Perception of Pharmacy Students on the Integration of AI in Clinical-Decision-Making. International Journal of Clinical Medical Research 2026 View
  2. Kumar A. Causal reinforcement learning to optimise hospital bed allocation under surge conditions. NexusTech 2026;1(2):2026006 View
  3. Barry J, McAdams R. Reimagining Continuous Professional Development for Physicians in the Age of Artificial Intelligence. Journal of Continuing Education in the Health Professions 2026;46(3):177 View
  4. Fischer S, Fink R, Alasmar A, Campbell E, DeCamp M. Palliative Care Physicians’ Perceptions about Using Artificial Intelligence for Prognostication. Journal of Pain and Symptom Management 2026;72(4):e340 View
  5. Dazza Pineda C, Garzón Leon F. De los datos a la decisión: Inteligencia Artificial y Machine Learning en la gestión administrativa en salud. Biociencias (UNAD) 2026;9(1) View
  6. Dazza Pineda C, Garzón Leon F. De los datos a la decisión: revisión sistemática del rol de la inteligencia artificial y el machine learning en la optimización de la gestión administrativa de Instituciones de Salud. Biociencias (UNAD) 2026;9(1) View
  7. Nugroho S, Ginardi R, Purnama I. Clinical pathway data engineering framework (CPDEF): a reproducible methodology for constructing machine learning-ready case-mix datasets from hospital information systems. MethodsX 2026;17:104163 View
  8. Conteh J, Kapucu N, Ebevuhe E, Adeniji O. A framework for safe, ethical, and trustworthy AI deployment and integration in hospitals: a systematic review and regulatory gap analysis with emphasis on the U.S. regulatory context. Frontiers in Digital Health 2026;8 View

Conference Proceedings

  1. Banerjee P, Faraz A, Suman S, Kumar M, Diwan P, Verma P. 2026 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC). Artificial Intelligence Impact on Medical Technology: An Extensive Analysis View