AI Empowers the Next Generation of Healthcare: YunTech, NCKU Department of Engineering Science, and NCKU Hospital Douliu Branch Collaborate to Cultivate Smart Healthcare Professionals Through Digital Literacy Workshops
As digital transformation and artificial intelligence continue to reshape the healthcare sector, the effective adoption of generative AI to enhance administrative efficiency and healthcare quality has become an increasingly important priority. To address this need, the Research Center for Educational Technology under the College of Humanities and Applied Sciences at National Yunlin University of Science and Technology (YunTech), the Department of Engineering Science at National Cheng Kung University (NCKU), and the Douliu Branch of National Cheng Kung University Hospital jointly launched the "Empowering the Future of Healthcare: Digital Literacy and AI Empowerment Micro-Credential Program."
Supported by the Healthy Taiwan Deep Cultivation Program, the initiative aims to establish a solid foundation for digital transformation in healthcare through systematic professional training. Two Digital Literacy Hands-on Workshops were successfully held on May 23 and May 30, attracting enthusiastic participation from healthcare professionals across various hospital departments. Owing to the overwhelmingly positive response and excellent participant feedback, a third workshop was added on June 13 to further expand AI training opportunities for healthcare personnel.
The workshops were designed around the central theme of "From Understanding AI to Applying AI." Course topics included prompt engineering, AI operational frameworks, AI ecosystem integration, and practical applications of generative AI in both healthcare administration and clinical settings. Through case-based, hands-on exercises, participants learned how to integrate generative AI tools into their daily workflows, improving operational efficiency and information management.
The morning sessions were led by Dr. Hsin-Yu Lee, Postdoctoral Research Fellow at the Graduate School of Technological and Vocational Education, YunTech, who introduced participants to emerging trends in generative AI, prompt design strategies, and the integration of AI tools. The sessions helped establish a solid understanding of AI fundamentals while developing practical implementation skills.
In the afternoon, participants engaged in application-oriented workshops tailored to the operational needs of different hospital departments. Examples included daily reporting and trend analysis for administrative offices, digitalization of laboratory forms and ISO knowledge base development for laboratory services, reimbursement report management and informed consent review for medical affairs, and physician scheduling and prescription verification for internal medicine departments. These practical exercises demonstrated how AI technologies can be seamlessly incorporated into real-world healthcare workflows.
Participants highly praised the workshops, noting that the course content closely reflected their daily responsibilities. They reported that the training enabled them to quickly master AI tools and immediately apply them to routine administrative tasks, significantly reducing the time spent on repetitive documentation and improving overall work efficiency. Many participants began implementing the newly acquired techniques within their departments immediately after completing the workshops, demonstrating strong motivation to embrace AI-driven transformation.
Given the overwhelming demand and exceptionally high satisfaction rates from the first two sessions, many participants expressed interest in learning more advanced AI applications. In response, the project team organized the third workshop on June 13, allowing additional healthcare professionals to participate while further strengthening generative AI capabilities across the hospital. The announcement of the additional session was met with enthusiastic interest, reflecting the healthcare sector's growing commitment to digital transformation and AI adoption.
The project team emphasized that the true value of generative AI lies not only in the technology itself but also in its effective integration into everyday work environments. During the program's first year, the primary objective is to establish digital literacy and AI collaboration skills that enable semi-automated workflows. In the second year, the curriculum will expand to include workflow automation and AI Agent technologies, supporting the transition toward intelligent, fully automated work processes and contributing to the development of more efficient and resilient healthcare services.
Through sustained collaboration among academia, industry, and healthcare institutions, as well as ongoing digital literacy training, this initiative not only enhances healthcare professionals' AI competencies but also lays an important foundation for healthcare digital transformation. Looking ahead, the project will continue to expand AI applications in clinical care, administrative management, and knowledge management, advancing the vision of smart healthcare while contributing innovative momentum to the realization of the Healthy Taiwan initiative.
Participants and instructors pose for a group photo following the successful completion of the Digital Literacy Hands-on Workshop.
Through a series of hands-on workshops, participants strengthened their digital literacy and AI application skills, contributing to the advancement of smart healthcare.
The workshop combined AI theory with practical case studies to enhance participants' digital literacy and hands-on application capabilities.
The instructor introduced generative AI, multimodal AI, and healthcare application case studies, promoting practical learning and professional exchange among participants.
Organizing Unit: Research Center for Educational Technology, College of Humanities and Applied Sciences
Director: Professor Ting-Ting Wu
Contact Person: Ms. Yu-Tzu Wu, Project Assistant
Tel: +886-5-534-2601 ext. 3409