Impact of a Practical, Hands-On, Continuing Professional Development Course About AI in Health Care Professions Education on the Perceptions and Behaviors of Health Care Educators: Qualitative Case Study.

IF 13.9 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Justin G Peacock, Jerusalem Merkebu, Anita Samuel
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Abstract

Background: Artificial intelligence (AI) is increasingly being used in many aspects of society, including health care and education. AI has the potential to enhance health care delivery, education, and administration. Health care trainees will be required to master these AI technologies. To teach trainees to effectively and ethically leverage AI technologies, educators must be appropriately trained and empowered to use these technologies.

Objective: We developed a health professions education course to enable health care professionals to overcome their fears and concerns about integrating multimodal generative AI technologies in daily practice. The course was also designed to foster generative AI skills and confidence in educational, administrative, research, and clinical activities.

Methods: Using a multimethod approach, we analyzed data gathered from three different sources using the 6-phase reflexive thematic analysis by Braun and Clarke. This involved familiarization with the data sources, generating initial codes, developing, refining, and defining the themes, and finally, writing up the results.

Results: Our findings indicate that 16 of 21 (76%) learners initially described apprehension or fear toward AI technologies. After experiential engagement with AI technologies together with their peers, they were able to shift their perspectives and gain confidence to integrate AI tools in their daily practice.

Conclusions: A brief 6-week continuing professional development course on the use of AI technologies for health care professional educators, focused on experiential and peer-based learning, resulted in shifts in perception, affect, and behavior toward AI technologies. It also propelled learners to shift increasingly outward in their discussion, application, and preliminary advocacy for AI technologies in their daily practice.

关于卫生保健专业教育中人工智能的实用、动手、持续专业发展课程对卫生保健教育者的看法和行为的影响:定性案例研究。
背景:人工智能(AI)越来越多地应用于社会的许多方面,包括医疗保健和教育。人工智能有潜力加强医疗保健服务、教育和管理。卫生保健培训生将被要求掌握这些人工智能技术。为了教会受训者有效和合乎道德地利用人工智能技术,教育工作者必须接受适当的培训,并获得使用这些技术的能力。目的:我们开发了一门卫生专业教育课程,使卫生保健专业人员能够克服他们在日常实践中整合多模态生成人工智能技术的恐惧和担忧。该课程还旨在培养在教育、行政、研究和临床活动中的生成式人工智能技能和信心。方法:采用Braun和Clarke的六阶段反身性主题分析,采用多方法分析从三个不同来源收集的数据。这包括熟悉数据源,生成初始代码,开发、精炼和定义主题,最后编写结果。结果:我们的研究结果表明,21名学习者中有16名(76%)最初描述了对人工智能技术的忧虑或恐惧。在与同龄人一起体验人工智能技术后,他们能够转变自己的观点,并获得将人工智能工具融入日常实践的信心。结论:为卫生保健专业教育工作者提供了为期6周的关于人工智能技术使用的简短持续专业发展课程,重点是体验式和基于同伴的学习,导致了对人工智能技术的感知、影响和行为的转变。它还推动学习者在日常实践中对人工智能技术的讨论、应用和初步倡导越来越向外转移。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Medical Education
JMIR Medical Education Social Sciences-Education
CiteScore
6.90
自引率
5.60%
发文量
54
审稿时长
8 weeks
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