Lab Introduction

The Health Policy and Artificial Intelligence Lab at National Taiwan University is dedicated to advancing the scientific integration of health policy and artificial intelligence to improve population health and health systems. Our mission is to bridge the gap between algorithmic innovation and real-world policy applications—transforming data into actionable insights that inform equitable, efficient, and person-centered health systems.
Our research spans four intersecting domains:
1.  AI for Health Policy and Systems Modeling – developing explainable and fairness-aware machine learning models to support evidence-based decision-making in health financing, service delivery, and health systems innovation.
2.  Health Technology Assessment and Economic Evaluation – employing advanced analytical frameworks to assess the cost-effectiveness and value of digital and AI-based health interventions.
3.  Multimorbidity and Health Service Research – using longitudinal administrative and survey data to understand the dynamics of multimorbidity, polypharmacy, and healthcare utilization across social and demographic groups.
4.  Responsible and Human-Centered AI in Health – examining ethical, governance, and societal dimensions of AI adoption to ensure transparency, accountability, and inclusiveness in digital health transformation.
Our lab collaborates closely with academic institutions, hospitals, and policy agencies worldwide—including Harvard University, National University of Singapore, Imperial College London, University of Melbourne, and Taiwan’s National Health Research Institutes—forming a transdisciplinary network at the forefront of AI-driven health policy research.
Through methodological rigor, policy relevance, and ethical foresight, we strive to ensure that artificial intelligence serves not as a technological end, but as a catalyst for equitable and sustainable health systems.