Integrating Generative AI into Clinical Practice Education: Enhancing Personalized Medicine Delivery Skills for Korean Medicine Students

Abstract

Objectives: We aimed to explore the use of generative AI, specifically ChatGPT, in clinical practice education for Korean Medicine (KM) students. We focused on enhancing their ability to provide personalized lifestyle guidance and analog-type symptom-tracking tools for managing chronic non-communicable diseases (NCDs).Methods: The class was part of a clinical practice course for third-year KM students. The course included role-playing and PBL combined with CBL in four modules: cardiology and neurology I, cardiology and neurology II, gynecology, and acupuncture and moxibustion medicine. In each session, students used ChatGPT 4o to create tailored patient educational materials and symptom diaries based on patient case scenarios. These results were shared and discussed throughout the presentations. After completing all modules, students took a survey to assess their satisfaction with ChatGPT and its potential for future applications.Results: Students effectively used ChatGPT in all four modules to provide individualized lifestyle advice and symptom records, tailoring the outputs to suit patient needs. When ChatGPT became momentarily unavailable, Claude was utilized as a replacement. Student feedback indicated that generative AI could enhance their understanding of disease-specific lifestyle management and improve their efficiency in creating patient-centered educational materials.Conclusions: Integrating generative AI into clinical education allows KM students to gain real experience in tailored healthcare delivery. As generative artificial intelligence becomes more extensively employed, various Korean medical college education programs utilizing it should be implemented in the future.

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