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探索人工智能工具在临床护理和健康职业教育中的应用:面向学生的在线模块

Exploring Applications of Artificial Intelligence Tools in Clinical Care and Health Professions Education: An Online Module for Students.

作者信息

Agarwal Gauri, Ramamoorthi Lokesh, Yuen Trevor, Merced Edwin, Brenner Jacqueline, Wu Winfred, Sabina Richard

机构信息

Associate Professor of Medicine and Medical Education, Associate Professor of Informatics and Health Data Sciences, Department of Medicine, Associate Dean for Curriculum, University of Miami Miller School of Medicine.

Lecturer of Software Engineering, Department of Electrical and Computer Engineering; Program Co-Director, Bachelors Program in Innovation, Technology, and Design, University of Miami.

出版信息

MedEdPORTAL. 2025 May 1;21:11524. doi: 10.15766/mep_2374-8265.11524. eCollection 2025.

Abstract

INTRODUCTION

Health professions schools vary widely in integration of artificial intelligence (AI) into their curriculum, and freely available instructional modules covering AI's applications and implications are lacking. Health professions students need to understand AI's impact on patient care, research, and education.

METHODS

We developed an interactive 30-minute asynchronous, self-paced online module for medical, nursing, and physical therapy students at our institution. The module, built on the Articulate 360 platform for easy dissemination to other schools, comprises videos, tests, and a list of resources for continued learning. It was initially implemented with 200 first-year medical students, who completed pre- and postmodule tests to assess knowledge gain and a feedback survey to assess the module.

RESULTS

A total of 164 students completed both the pre- and postmodule tests, and 144 completed the feedback survey. The mean percentage of students with correct test responses improved pre- to postmodule from 74% to 87% ( < .001), indicating significant knowledge gain. Feedback comments highlighted the module's relevance, manageable completion time, and video content. Suggestions for improvement included having more interactive elements and providing detailed explanations on complex concepts such as virtual reality and the ethics of AI.

DISCUSSION

The AI module successfully enhanced knowledge and was well received. Future iterations will incorporate more video content and improved sections on virtual reality and ethics. The module's adaptability and ease of integration make it a valuable resource for other health professions schools and allow students to be informed about the evolving field of AI in health care.

摘要

引言

健康职业院校在将人工智能(AI)融入课程方面差异很大,且缺乏涵盖AI应用及影响的免费教学模块。健康职业专业的学生需要了解AI对患者护理、研究和教育的影响。

方法

我们为我校的医学、护理和物理治疗专业的学生开发了一个30分钟的交互式异步、自主学习的在线模块。该模块基于Articulate 360平台构建,便于传播到其他学校,包括视频、测试以及一系列持续学习资源。最初对200名一年级医学生实施该模块,他们完成了模块前后测试以评估知识增益情况,并完成了一项反馈调查以评估该模块。

结果

共有164名学生完成了模块前后测试,144名学生完成了反馈调查。测试回答正确的学生的平均百分比从模块前的74%提高到了模块后的87%(<0.001),表明知识有显著增益。反馈意见强调了该模块的相关性、可管理的完成时间和视频内容。改进建议包括增加更多互动元素,并对虚拟现实和AI伦理等复杂概念提供详细解释。

讨论

该AI模块成功增强了知识,且受到好评。未来版本将纳入更多视频内容,并改进关于虚拟现实和伦理的部分。该模块的适应性和易于整合使其成为其他健康职业院校的宝贵资源,并能让学生了解医疗保健领域不断发展的AI。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3572/12043951/12ed613279e4/mep_2374-8265.11524-g001.jpg

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