AI in healthcare drives strategic transformation in hospital systems
AI adoption is expanding across Asian healthcare systems, with growing use in diagnostics, telemedicine, and critical care.
AI is expanding across healthcare systems in Asia, particularly in diagnostics and hospital operations. Adoption is increasing, but governance frameworks and institutional guidance remain uneven.
In South Korea, a survey by the Korea Health Industry Development Institute(KHIDI) found that nearly half of registered doctors have used AI, mainly for medical image interpretation in diagnosis and screening. However, only a small proportion of medical institutions have formal AI guidelines, and limited training and legal uncertainty remain key barriers.
In response, KHIDI has indicated it will prioritise legal clarity, trust-building, and structured education in future policy development. Follow-up assessments are expected to inform regulatory approaches to medical AI.
Digital health integration is also advancing elsewhere in the region. The National Taiwan University Hospital has launched an electronic prescription system linked to telemedicine, enabling QR code-based dispensing at community pharmacies.
In India, Yashoda Medicity has introduced an AI-enabled e-ICU connected to a public district hospital. The system centralises clinical data and uses AI-driven analytics to support risk monitoring and specialist oversight.
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