Welcome to join this lecture and learn how data science and AI technologies can help advance medical research and clinical care toward a smarter future!

📌“Meaningful healthcare interoperability does not begin with exchange standards, but with a coherent and well-defined semantic architecture.”

In this lecture, Prof. Huff will draw on more than three decades of experience at Intermountain Healthcare to share how a clinically driven, standards-based data architecture can be built from the ground up. He will explain why such an architecture is essential for transforming raw healthcare data into actionable clinical knowledge. The talk will also invite participants to reflect on Taiwan’s current challenges, including fragmented medical terminologies and inconsistencies in Common Data Elements (CDEs), setting the stage for subsequent topics in this lecture series.

 📅 Lecture Information

▪️ Topic: From Clinical Data to Knowledge: Building a Semantic Foundation for Healthcare Interoperability

▪️ Speaker: Stanley Huff (Clinical Professor, Department of Biomedical Informatics, University of Utah)

▪️ Date & Time: March 24, 2026 (Tuesday), 12:10–13:30

▪️ Venue: Room IR630, 6th Floor, International Academic Research Building, Kaohsiung Medical University

▪️ Registration Link: https://forms.gle/xxUipoc1aJyfaD2r9

▪️ Registration Deadline: Until 12:00 PM, March 20, 2026 (Friday); online registration only

▪️ Format: Hybrid (On-site: 60 participants; Online: unlimited)

▪️ Organizer: Biomedical Artificial Intelligence Academy, Kaohsiung Medical University

▪️ Note: ☕ Lunch will be provided for on-site participants. Everyone is welcome to join!

※ This lecture is eligible for KMU faculty growth credits. Participants must complete both sign-in/out and the satisfaction survey to receive credit points.

We look forward to your participation!