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

Amir Kamel Rahimi   1, 2 , BSc, MSc ;   Oliver Pienaar   3 , BSc (Hons), MSc ;   Moji Ghadimi   3 , PhD ;   Oliver J Canfell   1, 2, 4, 5 , PhD ;   Jason D Pole   1, 6, 7 , PhD ;   Sally Shrapnel   1, 3 , PhD ;   Anton H van der Vegt   1 , PhD ;   Clair Sullivan   1, 8 , MBBS(Hons), MD

1 Queensland Digital Health Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia

2 Digital Health Cooperative Research Centre, Australian Government, Sydney, Australia

3 The School of Mathematics and Physics, The University of Queensland, Brisbane, Australia

4 Business School, The University of Queensland, Brisbane, Australia

5 Department of Nutritional Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom

6 Dalla Lana School of Public Health, The University of Toronto, Toronto, ON, Canada

7 ICES, Toronto, ON, Canada

8 Metro North Hospital and Health Service, Department of Health, Queensland Government, Brisbane, Australia

Corresponding Author:

  • Amir Kamel Rahimi, BSc, MSc
  • Queensland Digital Health Centre
  • Faculty of Medicine
  • The University of Queensland
  • Health Sciences Building
  • Herston Campus
  • Brisbane, QLD4006
  • Australia
  • Phone: 61 0733465350
  • Email: amir.kamel@uq.edu.au