Transforming Medical Communication Education: The Effectiveness of Generative AI Education Using ChatGPT

Abstract

Objectives: This study aims to explore the effectiveness of medical communication skills training through generative AI (Artificial Intelligence), such as ChatGPT. The primary objective is to analyze the impact of AI-based education on students’ communication abilities and learning experiences, while also discussing the long-term potential of integrating AI into medical education. Methods: A communication education utilizing Generative AI was designed for 70 first-year medical students. The program employed a multifaceted approach, including virtual patient simulations, real-time feedback, and selfreflection. Post-training surveys were conducted to assess student satisfaction and learning outcomes. Both quantitative and qualitative data were analyzed to derive the results.Results: Students perceived AI-based training as having a positive impact on their communication skills. In particular, realtime feedback and the opportunity for repeated practice contributed to boosting students’ confidence. The average satisfaction score exceeded 3.7, with students responding favorably to the interaction with AI, believing it would enhance their communication skills in real clinical settings. Conclusions: This study demonstrates the potential of generative AI as a valuable tool in medical education, contributing to the improvement of communication training quality. Future research should focus on expanding the scope of AI applications and analyzing the long-term effectiveness of such training programs across a wider range of clinical scenarios.

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