AI becomes a powerful ally for medical staff, with over 410,000 clinical applications in TMU system, saving 800 hours monthly

Taipei Medical University and its hospital system are significantly advancing healthcare through the integration of generative artificial intelligence. The system has reported over 410,000 clinical applications of AI, demonstrating a substantial commitment to digital transformation in medicine.

This AI integration spans critical areas such as patient record writing, nursing shift summaries, medical imaging reports, and clinical decision support. A key achievement is the substantial reduction in administrative burden for nurses. AI-powered tools for shift summaries, nursing workflow integration, and clinical document generation are collectively saving over 800 hours of paperwork each month. This translates to freeing up the equivalent of approximately five full-time nurses, allowing them to dedicate more time to direct patient care.

The university hosted the "2026 Health Taiwan Deep Cultivation Forum," focusing on "Smart Empowerment, Resilient Taiwan." Discussions involved government, industry, and academic leaders exploring smart healthcare, health equity, medical resilience, and sustainable development. University President Wu Mais outlined four strategies: reducing medical waste, building a talent base, implementing digital governance, and practicing sustainable resilience.

Beyond administrative efficiency, AI is enhancing critical care and disease prevention. The TED-ICU and SMART ICU platforms provide real-time monitoring and AI-driven sepsis prediction, offering early warnings to medical teams. For chronic kidney disease, an AI-powered screening platform identifies high-risk individuals, shifting the focus from treatment to early intervention. Shuang-Ho Hospital's "Green Kidney" initiative, using AI for early detection, is projected to delay dialysis for about 36 patients annually, saving approximately NT$18 million and reducing resource consumption and carbon emissions.

Wu Mais emphasized that AI's value extends beyond efficiency to redefining healthcare models, moving towards risk prediction, disease prevention, and personalized care. The university is also committed to health equity, extending medical resources to remote areas and islands through telemedicine and smart health platforms. They are also preparing for major disasters and emergencies by developing alternative medical spaces and cross-departmental drills to ensure continued medical operations.

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AI's value is not just in improving efficiency, but in redefining healthcare models. In the future, AI will gradually develop from diagnostic assistance to risk prediction, disease prevention, and health management, helping medical teams discover problems earlier and intervene earlier to achieve patient-centered precision health care.