艾昆纬-平价医疗的未来：释放人工智能改变东南亚卫生系统的潜力（英）

White PaperThe Future of Affordable Care: Unlocking AI’s Potential to Transform Southeast Asia’s Health SystemsDEVARAJ SUBRAMANIAM, Principal, Consulting Services, IQVIADR. JAMES LIEW, Consultant, Consulting Services, IQVIA SAM SCIBETTA, Consultant, Consulting Services, IQVIA UDITT CHAKRAVERTY, Associate Consultant, Consulting Services, IQVIARANDY WONG, Associate Consultant, Consulting Services, IQVIATable of contentsExecutive summary 1The urgency: why AI is critical to containing healthcare costs 2AI in action: use cases across healthcare value chain 2Challenges and risks when implementing AI in healthcare 4Road ahead: capturing full value of AI in healthcare 5IQVIA’s role: driving scalable AI solutions in healthcare 5References 6About the authors 7About IQVIA Asia Pacific 8 iqvia.com | 1Healthcare systems across Southeast Asia are facing a perfect storm of rising demand, constrained resources, and unsustainable cost trajectories. Several macro trends are converging to create this pressure: demographic shifts, urbanization, and chronic disease burden. Artificial Intelligence (AI), particularly agentic AI, has the potential to dramatically improve healthcare efficiency, accuracy, and personalization. This white paper explores the urgency of AI adoption, real-world use cases, and strategic recommendations for healthcare leaders.Executive summary2 | The Future of Affordable Care: Unlocking AI’s Potential to Transform Southeast Asia’s Health SystemsThe urgency: why AI is critical to containing healthcare costsHealthcare systems in Southeast Asia are experiencing increasing demand, limited resources, and rising costs. Multiple broader trends are contributing to these challenges:Demographic shifts: The proportion of people aged 65 and above in Southeast Asia is expected to nearly double by 2035, from 8% to approximately 15%.1Urbanization: Over 120,000 people across Southeast Asia migrate from rural to urban areas every week, placing an additional strain on the urban healthcare infrastructure.2Chronic disease burden: In Malaysia, for example, more than 54% of adults are overweight or obese,3 contributing to MYR 64 billion in annual economic losses from Non-Communicable Diseases (NCDs).4These trends are not just increasing the volume of care required, they are also making care more complex and expensive. At the same time, healthcare systems are grappling with workforce shortages, outdated infrastructure, and fragmented data systems.Yet, amid these challenges lies a transformative opportunity: AI.AI — particularly agentic AI — has the potential to dramatically improve healthcare efficiency, accuracy, and personalization. Agentic AI is expected to unlock between $2.6 trillion and $4.4 trillion in annual productivity gains globally.5 In healthcare, this could mean faster diagnoses, fewer errors, reduced administrative burden, and better patient outcomes —all at a lower cost.AI in action: use cases across healthcare value chainWhile healthcare has tradi