Prospects for the development of medical professionalism education in the AI perspective: A qualitative study of Chinese postgraduate medical students' written reflections.

IF 3.3 2区 教育学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES Medical Teacher Pub Date : 2025-01-08 DOI:10.1080/0142159X.2024.2445056
Su Wenhang, Zhang Shenting, Chen Shaohua
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Abstract

Introduction: Medical professionalism education is of paramount importance to the development of medical careers and medical students. Currently, there is a need for more research in China on the integration of artificial intelligence (AI) and medical professionalism education.

Methods: For this study, we collected 44 written reflections from first-year postgraduate students of clinical medicine in China during the spring semester of 2024 on the prospect of applying AI in conjunction with medical professionalism education. The data were transcribed, coded, and analyzed thematically. A framework for interpretation was provided in the form of a literature review.

Results: The findings indicate that Chinese medical students hold divergent views on the potential integration of AI with medical professionalism education. These perspectives encompass both the current paths of development and predictions of future trends. Thematic analysis was conducted using NVivo14, resulting in the identification of four themes:Technology application and medical ethicsDoctor-patient relationship and communicationEducation and career developmentSocial responsibility and public interest.

Conclusion: The study's findings underscore the potential benefits of AI in medical professionalism education, as perceived by Chinese medical students. These benefits could significantly enhance the quality and effectiveness of medical education. However, the students also highlighted potential risks and the need for careful oversight and management, indicating the practical implications of these findings for the future of medical education.

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人工智能视角下医学专业教育的发展展望——对我国医学研究生书面反思的定性研究
医学专业教育对医学事业和医学生的发展至关重要。目前,中国需要对人工智能(AI)与医学专业教育的融合进行更多的研究。方法:在本研究中,我们收集了中国临床医学一年级研究生在2024年春季学期关于将AI应用于医学专业教育的前景的44篇书面反思。对数据进行转录、编码和主题分析。以文献综述的形式提供了一个解释框架。结果:调查结果表明,中国医学生对人工智能与医学专业教育的潜在整合持不同看法。这些观点既包括当前的发展路径,也包括对未来趋势的预测。使用NVivo14进行主题分析,确定了四个主题:技术应用与医学伦理学、医患关系与沟通、教育与职业发展、社会责任与公共利益。结论:研究结果强调了中国医学生认为人工智能在医学专业教育中的潜在好处。这些好处可以显著提高医学教育的质量和效果。然而,学生们也强调了潜在的风险和仔细监督和管理的必要性,表明了这些发现对未来医学教育的实际意义。
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来源期刊
Medical Teacher
Medical Teacher 医学-卫生保健
CiteScore
7.80
自引率
8.50%
发文量
396
审稿时长
3-6 weeks
期刊介绍: Medical Teacher provides accounts of new teaching methods, guidance on structuring courses and assessing achievement, and serves as a forum for communication between medical teachers and those involved in general education. In particular, the journal recognizes the problems teachers have in keeping up-to-date with the developments in educational methods that lead to more effective teaching and learning at a time when the content of the curriculum—from medical procedures to policy changes in health care provision—is also changing. The journal features reports of innovation and research in medical education, case studies, survey articles, practical guidelines, reviews of current literature and book reviews. All articles are peer reviewed.
期刊最新文献
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