ANALYZING THE POSITIVE AND NEGATIVE ASPECTS OF APPLYING ARTIFICIAL INTELLIGENCE IN PUBLIC HEALTH MANAGEMENT: A FRAMEWORK FOR VIETNAM

Authors

  • Quan Quốc Đăng
  • Phạm Văn Hùng
  • Nguyễn Thị Thảo Sương

Keywords:

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Abstract

Artificial intelligence (AI) is emerging as a disruptive technology with the potential to revolutionize the field of public health management. This study, based on a situational analysis and systematic review, indicates that AI offers significant benefits in disease outbreak forecasting, resource optimization, and supporting human clinical decision-making. However, barriers related to input data quality, algorithmic bias, infrastructure costs, and inadequately regulated legal and ethical issues are persistent challenges for Vietnam. A proposed reference framework for Vietnam, grounded in a review of global research, includes for main pillars for the application of AI in public health management: (1) Data Foundation, (2) Technology and Infrastructure, (3) Human Resources, (4) Legal and Ethical Framework. This framework is expected to be a valuable reference for policymakers, health managers, and technology developers in Vietnam in the field of public health management and community health.

     

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Published

2025-10-09