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의료 커뮤니케이션 교육의 전환: ChatGPT 활용 생성형 AI 교육의 효과Transforming Medical Communication Education: The Effectiveness of Generative AI Education Using ChatGPT

Other Titles
Transforming Medical Communication Education: The Effectiveness of Generative AI Education Using ChatGPT
Authors
지영아김귀현서지현
Issue Date
Nov-2024
Publisher
한국보건정보통계학회
Keywords
Generative AI; Medical communication; AI-based education; Medical education; .
Citation
보건정보통계학회지, v.49, no.4, pp 332 - 338
Pages
7
Indexed
KCI
Journal Title
보건정보통계학회지
Volume
49
Number
4
Start Page
332
End Page
338
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/78486
ISSN
2465-8014
2465-8022
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 self- reflection. Post-training surveys were conducted to assess student satisfaction and learning outcomes. Both quantitative and qualitative data were ana- lyzed to derive the results. Results: Students perceived AI-based training as having a positive impact on their communication skills. In particular, real- time 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 pro- grams across a wider range of clinical scenarios.
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