This IQVIA whitepaper highlights how AI can help Southeast Asia’s strained health systems balance rising demand, chronic disease burdens, and limited budgets. Use cases span AI-powered X-ray analysis in Singapore, predictive stroke risk models, ambient scribes reducing documentation by 60%, and Mayo Clinic’s 25% drop in readmissions. AI also optimizes operations, like NUHS predicting bed needs with 20% cost savings. Challenges include data privacy, legacy IT, skills gaps, and regulatory uncertainty. Success depends on prioritization, partnerships, and AI translators bridging tech and care.

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