Guest lecturer speaks before students in a crowded auditorium.
Faculty News

Faculty of Public Health, Hasanuddin University, Hosts Taiwan Experts to Explore the Future of Medical Decision Science

August 24, 2026 · 10:00 ·Kantor Urusan Internasional

The Master of Hospital Administration Study Program at the Faculty of Public Health, Hasanuddin University (UNHAS) hosted an international guest lecture titled “Frontiers of Medical Decision Science: Research Trends in Digital Twins and World Models” on Wednesday, 26 August 2026. The session featured Prof. Dr. Chi-Chang Chang of Chung Shan Medical University, Taiwan, who also serves as President of the Society for Asia Medical Decision Science (SAMDS). He was joined by Prof. Hsi-Chieh Lee of National Quemoy University, Associate Prof. Ting-Ying Chien of Yuan Ze University, and Heng-Jui Liu.

Guest lecturer speaks before students in a crowded auditorium.

The lecture was officially opened by Ansariadi, SKM., M.Sc.PH., Ph.D., and provided students and the academic community with international perspectives on emerging technologies and approaches in healthcare decision-making. In his presentation, Prof. Chang discussed developments in medical decision science, with particular attention to digital twins and world models. These technologies are increasingly being explored to support analysis, simulation, and decision-making as artificial intelligence, health data, and digital systems become more integrated into healthcare.

He also emphasized that effective digital transformation in healthcare depends not only on advanced technology, but also on high-quality data, validated models, information security, ethical considerations, and organizational and human-resource readiness. For students of Hospital Administration, the session offered a broader understanding of how digital technologies can support hospital services, management, and evidence-based decision-making. The presence of academics from several Taiwanese institutions also opened opportunities for further international networking and collaboration in medical decision science, smart healthcare, and digital health transformation.

Share Facebook X WhatsApp