Taiwan is deploying a digital maturity model to strengthen care delivery for a super-aged population, pairing AI-enabled tools with interoperable health data. The framework assesses readiness across hospitals, clinics, and long-term care facilities, guiding investments in AI decision support, telehealth, and digitized workflows. By mapping current capabilities—data quality, system integration, user adoption, and governance—the model helps prioritize initiatives that reduce fragmentation and improve outcomes for older adults with chronic disease and frailty.
Experts say the approach accelerates digital health maturity while easing clinician workload, enabling proactive risk stratification, remote monitoring, and personalized care pathways. Data governance, privacy, and interoperability are central to scaling AI-driven care, with public-sector support and regional pilots designed to test value at scale and inform policy in Taiwan and beyond.
