Journal of Medical Internet Research (Sep 2024)

Quality and Accountability of ChatGPT in Health Care in Low- and Middle-Income Countries: Simulated Patient Study

  • Yafei Si,
  • Yuyi Yang,
  • Xi Wang,
  • Jiaqi Zu,
  • Xi Chen,
  • Xiaojing Fan,
  • Ruopeng An,
  • Sen Gong

DOI
https://doi.org/10.2196/56121
Journal volume & issue
Vol. 26
p. e56121

Abstract

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Using simulated patients to mimic 9 established noncommunicable and infectious diseases, we assessed ChatGPT’s performance in treatment recommendations for common diseases in low- and middle-income countries. ChatGPT had a high level of accuracy in both correct diagnoses (20/27, 74%) and medication prescriptions (22/27, 82%) but a concerning level of unnecessary or harmful medications (23/27, 85%) even with correct diagnoses. ChatGPT performed better in managing noncommunicable diseases than infectious ones. These results highlight the need for cautious AI integration in health care systems to ensure quality and safety.