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

Our study provides novel perspectives and valuable insights into the current state and future prospects of AI adoption across health systems in SEA. By capturing the experiences and opinions of a broad range of professionals involved in health care and AI, this research provides a nuanced understanding of the opportunities and hurdles associated with health AI in the region. For the full potential of AI-enabled technologies to be successfully implemented and ultimately contribute to the transformation of health systems in the region, foundational investments are needed in digital infrastructure, technology governance, and data governance. These fundamental pillars are crucial for fostering an environment in which AI can be effectively and ethically leveraged to improve health outcomes and strengthen health care systems throughout SEA.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-05-09
DOI
https://doi.org/10.2196/71591
Citations
9
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
5.89
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article

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

E. F. H. Lim, Jonas Karlström, Alexandra Pyle, Mochammad Fadjar Wibowo et al.
9 citations
Journal of Medical Internet Research
Artificial Intelligence in Healthcare and Education
5.89
article

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

E. F. H. Lim, Jonas Karlström, Alexandra Pyle, Mochammad Fadjar Wibowo, Joshua W. Ohde, Nan Liu
article en
9 citations

Abstract

Our study provides novel perspectives and valuable insights into the current state and future prospects of AI adoption across health systems in SEA. By capturing the experiences and opinions of a broad range of professionals involved in health care and AI, this research provides a nuanced understanding of the opportunities and hurdles associated with health AI in the region. For the full potential of AI-enabled technologies to be successfully implemented and ultimately contribute to the transformation of health systems in the region, foundational investments are needed in digital infrastructure, technology governance, and data governance. These fundamental pillars are crucial for fostering an environment in which AI can be effectively and ethically leveraged to improve health outcomes and strengthen health care systems throughout SEA.

Journal of Medical Internet ResearchVol. 27
Mayo Clinic (US), Singapore General Hospital (SG), SingHealth Duke-NUS Academic Medical Centre (SG), Duke-NUS Medical School (SG), University of Virginia (US)
Openalex Percentile: Top 4%
Artificial Intelligence in Healthcare and Education
5.89
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