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

Knowledge Translation and Implementation Science (513) Artificial Intelligence (2129) Digital Health, Telehealth and e-Innovation in Clinical Settings (556) Adoption and Change Management of eHealth Systems (894) E-Health Policy and Health Systems Innovation (341) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (717) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (186) Demographics of Users, Social & Digital Divide (914) Focus Groups and Qualitative Research for Human Factors Research (1220) Applications of AI (287)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71591, first published .
Insights Into the Current and Future State of AI Adoption Within Health Systems in Southeast Asia: Cross-Sectional Qualitative Study

Insights Into the Current and Future State of AI Adoption Within Health Systems in Southeast Asia: Cross-Sectional Qualitative Study

Insights Into the Current and Future State of AI Adoption Within Health Systems in Southeast Asia: Cross-Sectional Qualitative Study

Authors of this article:

Mochammad Fadjar Wibowo1 Author Orcid Image ;   Alexandra Pyle2 Author Orcid Image ;   Emma Lim3 Author Orcid Image ;   Joshua W Ohde4 Author Orcid Image ;   Nan Liu5 Author Orcid Image ;   Jonas Karlström1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Mochammad Fadjar Wibowo   1 * , MMSc, MD ;   Alexandra Pyle   2 * , PhD ;   Emma Lim   3 , BA ;   Joshua W Ohde   4 , PhD ;   Nan Liu   5 , PhD ;   Jonas Karlström   1 , MSc, MD

1 SingHealth Duke-NUS Global Health Institute, Duke-NUS Medical School, Singapore, Singapore

2 Department of Future Health System, Singapore General Hospital, Singapore, Singapore

3 Global Public Health, Global Studies, University of Virginia, Charlottesville, VA, United States

4 Center for Digital Health, Mayo Clinic, Rochester, MN, United States

5 Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore

*these authors contributed equally

Corresponding Author:

  • Mochammad Fadjar Wibowo, MMSc, MD
  • SingHealth Duke-NUS Global Health Institute
  • Duke-NUS Medical School
  • 8 College Road
  • Singapore 169857
  • Singapore
  • Phone: 65 66018782
  • Email: mfwibowo@nus.edu.sg