探索人工智能工具在临床护理和健康专业中的应用教育:学生在线模块
Gauri Agarwal1, Lokesh Ramamoorthi2, Trevor Yuen3
1Associate 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.
概括
一个在线的人工智能 (AI) 模块显著提高了健康专业学生的知识. 这种可访问的资源增强了对人工智能在患者护理和教育中的作用的理解.
科学领域:
- 医学教育 医学教育
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 融入卫生专业课程是不一致的.
- 缺乏关于人工智能应用和影响的免费可用的教学模块.
- 医疗专业的学生需要对人工智能对患者护理,研究和教育的影响有基本知识.
研究的目的:
- 为医疗专业的学生开发和评估人工智能交互式在线模块.
- 评估该模块在提高学生对医疗保健人工智能知识方面的有效性.
- 为了衡量学生的接待,并确定AI教育的改进领域.
主要方法:
- 使用Articulate 360创建了一个异步,自动节奏的30分钟在线模块.
- 该模块包括视频,测试和资源,并与一年级医学学生进行试点测试.
- 在模块前和后的测试中评估了知识获取,并补充了反调查.
主要成果:
- 观察到平均测试分数从74%到87% (p < .001) 显著改善.
- 学生发现该模块是相关的,具有可管理的时间承诺和有价值的视频内容.
- 反建议将更多的交互元素和详细的解释纳入复杂的人工智能主题,如虚拟现实和道德.
结论:
- 开发的AI模块有效地增强了学生的知识,并获得了积极的反.
- 未来的代将专注于增加视频内容,并详细阐述虚拟现实和AI道德.
- 该模块的可适应设计将其定位为一个有价值的,易于集成的资源,用于各种健康专业计划.
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