Embracing ChatGPT for Medical Education: Exploring Its Impact on Doctors and Medical Students

转化式学习 保护 知识管理 工程伦理学 医学教育 课程 医疗保健 心理学 计算机科学 医学 工程类 教育学 护理部 政治学 法学
作者
Yijun Wu,Yue Zheng,Baijie Feng,Yuqi Yang,Kai Kang,Ailin Zhao
出处
期刊:JMIR medical education [JMIR Publications Inc.]
卷期号:10: e52483-e52483 被引量:18
标识
DOI:10.2196/52483
摘要

ChatGPT (OpenAI), a cutting-edge natural language processing model, holds immense promise for revolutionizing medical education. With its remarkable performance in language-related tasks, ChatGPT offers personalized and efficient learning experiences for medical students and doctors. Through training, it enhances clinical reasoning and decision-making skills, leading to improved case analysis and diagnosis. The model facilitates simulated dialogues, intelligent tutoring, and automated question-answering, enabling the practical application of medical knowledge. However, integrating ChatGPT into medical education raises ethical and legal concerns. Safeguarding patient data and adhering to data protection regulations are critical. Transparent communication with students, physicians, and patients is essential to ensure their understanding of the technology's purpose and implications, as well as the potential risks and benefits. Maintaining a balance between personalized learning and face-to-face interactions is crucial to avoid hindering critical thinking and communication skills. Despite challenges, ChatGPT offers transformative opportunities. Integrating it with problem-based learning, team-based learning, and case-based learning methodologies can further enhance medical education. With proper regulation and supervision, ChatGPT can contribute to a well-rounded learning environment, nurturing skilled and knowledgeable medical professionals ready to tackle health care challenges. By emphasizing ethical considerations and human-centric approaches, ChatGPT's potential can be fully harnessed in medical education, benefiting both students and patients alike.

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