Applications of Artificial Intelligence for Nonpsychomotor Skills Training in Health Professions Education: A Scoping Review.

IF 5.3 2区 教育学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Academic Medicine Pub Date : 2025-05-01 Epub Date: 2025-01-28 DOI:10.1097/ACM.0000000000005983
Kenya A Costa-Dookhan, Zachary Adirim, Marta Maslej, Kayle Donner, Terri Rodak, Sophie Soklaridis, Sanjeev Sockalingam, Anupam Thakur
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引用次数: 0

Abstract

Purpose: This study explores uses of artificial intelligence (AI) in health professions education for nonpsychomotor skills training at undergraduate, postgraduate, and continuing health professions education levels for education program development, delivery, and evaluation.

Method: This scoping review was conducted in 5 stages: (1) planning and research, (2) search strategy, (3) screening and selection, (4) review and recording data, and (5) synthesis. Seven bibliographic databases were searched using terms for artificial intelligence and continuing health professional education to capture articles that used AI for the purposes of nonpsychomotor skills training for health professions education and involved health care professionals and/or trainees. Databases were searched for articles published from January 1, 2001, to March 26, 2024. The original searches were performed on July 26, 2021, and again on March 26, 2024. Two reviewers independently screened, reviewed, and extracted data. Data extraction was performed using Kern's 6-step curriculum development framework to guide analysis.

Results: In total, 9,914 studies related to AI in health professions education for nonpsychomotor skills training were screened. Of these, 103 studies were identified that met the inclusion criteria. Of these 103 studies, 52 (50%) were cohort studies. The most common learner population was health care professional students (67 studies [65%]). Most studies (76 [74%]) were set in nonclinical settings. Sixty-eight studies (66%) fit under step 6 of Kern's criteria (evaluation and assessment), illustrating that AI is predominantly being used for the purposes of evaluation and assessment of learners and programs.

Conclusions: Most studies in the literature illustrate that AI is being applied in a nonpsychomotor context to evaluate health professional education programs and assess learners. Additional opportunities to use AI in curriculum design and implementation could include identification of learning needs for training, personalizing learning with AI principles, and evaluating health care professional education programs.

人工智能在卫生专业教育中非精神运动技能训练中的应用:范围综述
目的:本研究探讨人工智能(AI)在卫生专业教育中的应用,用于本科、研究生和继续卫生专业教育水平的非精神运动技能培训,以促进教育项目的开发、实施和评估。方法:本综述分为5个阶段:(1)规划与研究,(2)搜索策略,(3)筛选与选择,(4)资料回顾与记录,(5)综合。使用主要搜索词人工智能和继续卫生专业教育对七个书目数据库进行了检索,以查找将人工智能用于卫生专业教育的非精神运动技能培训并涉及卫生保健专业人员和/或受训人员的文章。数据库检索了2001年1月1日至2024年3月26日发表的文章。最初的搜索于2021年7月26日进行,并于2024年3月26日再次进行。两名审稿人独立筛选、审查和提取数据。数据提取使用Kern的六步课程开发框架来指导分析。结果:共筛选了9914项与非精神运动技能培训卫生专业教育中人工智能相关的研究。其中,103项研究符合纳入标准。在这103项研究中,52项(50%)为队列研究。最常见的学习人群是卫生保健专业的学生(67项研究[65%])。大多数研究(76[74%])是在非临床环境中进行的。68项研究(66%)符合Kern标准的第6步(评估和评估),这表明人工智能主要用于评估和评估学习者和课程。结论:文献中的大多数研究表明,人工智能正被应用于非精神运动环境中,以评估卫生专业教育计划和评估学习者。在课程设计和实施中使用人工智能的其他机会包括:确定培训的学习需求、利用人工智能原则进行个性化学习,以及评估卫生保健专业教育计划。
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
Academic Medicine
Academic Medicine 医学-卫生保健
CiteScore
7.80
自引率
9.50%
发文量
982
审稿时长
3-6 weeks
期刊介绍: Academic Medicine, the official peer-reviewed journal of the Association of American Medical Colleges, acts as an international forum for exchanging ideas, information, and strategies to address the significant challenges in academic medicine. The journal covers areas such as research, education, clinical care, community collaboration, and leadership, with a commitment to serving the public interest.
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