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

Digital Health Reviews (1522) Clinical Informatics (1161) Artificial Intelligence (1735) Clinical Information and Decision Making (1655)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49655, first published .
Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers

Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers

Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers

Authors of this article:

Amir Kamel Rahimi1, 2 Author Orcid Image ;   Oliver Pienaar3 Author Orcid Image ;   Moji Ghadimi3 Author Orcid Image ;   Oliver J Canfell1, 2, 4, 5 Author Orcid Image ;   Jason D Pole1, 6, 7 Author Orcid Image ;   Sally Shrapnel1, 3 Author Orcid Image ;   Anton H van der Vegt1 Author Orcid Image ;   Clair Sullivan1, 8 Author Orcid Image
Article Authors Cited by (14) Tweetations Metrics

Journals

  1. Epelde F. Revolutionizing Patient Safety: The Economic and Clinical Impact of Artificial Intelligence in Hospitals. Hospitals 2024;1(2):185 View
  2. Teles A, de Moura I, Silva F, Roberts A, Stahl D. EHR-based prediction modelling meets multimodal deep learning: A systematic review of structured and textual data fusion methods. Information Fusion 2025;118:102981 View
  3. Coulibaly D, Bayani A, Sylla B, Motulsky A, Nikiema J, Bosson-Rieutort D. Identifying key characteristics of developed artificial intelligence algorithms to achieve meaningful impact on Canadian healthcare: a scoping review protocol. BMJ Open 2025;15(2):e094908 View
  4. Ellertson M, Sharp R. Challenges in Pursuing AI Transparency. The American Journal of Bioethics 2025;25(3):4 View
  5. Kumar R, Singh A, Kassar A, Humaida M, Joshi S, Sharma M. Leveraging Artificial Intelligence to Achieve Sustainable Public Healthcare Services in Saudi Arabia: A Systematic Literature Review of Critical Success Factors. Computer Modeling in Engineering & Sciences 2025;142(2):1289 View
  6. Higgins O, Wilson R. Integrating Artificial Intelligence (AI) With Workforce Solutions for Sustainable Care: A Follow Up to Artificial Intelligence and Machine Learning (ML) Based Decision Support Systems in Mental Health. International Journal of Mental Health Nursing 2025;34(2) View
  7. Chen J, Liu Y, Liu P, Zhao Y, Zuo Y, Duan H. Adoption of Large Language Model AI Tools in Everyday Tasks: Multisite Cross-Sectional Qualitative Study of Chinese Hospital Administrators. Journal of Medical Internet Research 2025;27:e70789 View
  8. Mahajan A, Heydari K, Powell D. Wearable AI to enhance patient safety and clinical decision-making. npj Digital Medicine 2025;8(1) View
  9. Carré E, Garofalo M. Artificial Intelligence in Healthcare: A Holistic Approach for Successful, Human-Centered Implementation. EPISTÉMÈ 2025;33(0):6 View
  10. Goodson D, Garcia B, Hogarth M, Tu S. Artificial intelligence and physician burnout: A productivity paradox. Learning Health Systems 2025 View

Books/Policy Documents

  1. Segal Y, Hod A. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats, Volume 3 [Working Title]. View
  2. Gachago J. Digital Maturity in Hospitals. View

Conference Proceedings

  1. Kanna R, Anitha R, Sundaramoorthy K, Salau A, Danquah-Amoah A, Banappagoudar S. 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). Smart Cloud Computing Approach for Electronic based Health Record System View
  2. Bahuguna S, Kapil K, Avikal S. 2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST). A Fuzzy AHP Approach to Overcome AI Adoption Obstacles in Sustainable Hospitality View