Taiwan Highlights Progress in AI-Driven Medical Infrastructure: NDC Announces Achievements

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On April 17, the National Development Council (NDC) announced achievements from its 'Ten Major AI Infrastructure Projects,' conducted in cooperation with various ministries and public agencies. The initiative underscores Taiwan's commitment to improving governance efficiency and social resilience. In the medical sector, AI applications are contributing to reducing the workload of healthcare personnel while allowing the public access to faster and more precise services. Specifically, the Ministry of Health organized the 'Taiwan SMART 50' contest to select innovative solutions using the open standard SMART on FHIR (Substitutable Medical Applications and Reusable Technologies on Fast Healthcare Interoperability Resources). This technology allows for the creation of reusable health applications that can integrate securely and transparently into electronic medical records. A notable system cited by the NDC is an intelligent prescription system developed by Yuan Rung Medical Care System. This system automatically identifies exchanges between doctors and patients and generates medical records by integrating existing patient data, examination results, and diagnoses. Furthermore, AI is utilized to improve disaster monitoring and early warning capabilities. The Water Resources Agency (under the Ministry of Economic Affairs) deployed flood sensors and a cloud information system for emergency management across Taiwan, while the Central Meteorological Administration (dependent on the Ministry of Transportation and Communications) integrated Google and Nvidia's AI models to predict typhoon trajectories. The NDC reported that this use of AI reduced prediction errors in 2025 typhoon tracking by 10% compared to the previous year. The government stated its continued collaboration with ministries and public agencies to expand AI adoption, enhance public service quality, improve overall societal resilience, and strengthen Taiwan's global competitiveness in AI development.