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探索菲律宾医学学生对医疗教育中人工智能的态度和看法:一种混合方法研究

Robbi Miguel G Falcon¹, Renne Margaret U Alcazar¹, Hannah G Babaran¹

¹College of Medicine, University of the Philippines Manila, Manila, Metro Manila, 1006, Philippines.

MedEdPublish (2016)

|May 19, 2025

概括

菲律宾的医学学生了解人工智能 (AI),但需要更多的培训,以便在医学教育和实践中使用它. 他们看到了AI对学习的好处,但对其临床应用感到担忧.

科学领域:

医疗教育技术技术医学教育
医疗保健中的人工智能
数字健康创新数字健康创新

背景情况:

人工智能 (AI) 正在改变全球教育,提供创新的学习和教学工具.
将人工智能整合到医学教育中可以提高健康管理和患者护理质量.
像菲律宾这样的发展中国家在公平的人工智能采用和教育工作者培训方面面临着挑战.

研究的目的:

调查医学学生对AI在医学教育中的作用的看法.
评估学生对AI在医学实践中的态度.
识别在菲律宾医疗培训中整合人工智能的挑战和机会.

主要方法:

混合方法方法结合了定量调查和定性焦点小组讨论.
调查和焦点小组讨论与20名医学学生进行.
从菲律宾马尼拉大学医学院招募的参与者.

主要成果:

医学学生具有基线AI意识,但在教育和临床环境中实际接触有限.
大多数人承认AI对医学教育的优势.
参与者对AI在临床实践中的应用表示保留.

结论:

研究结果强调需要有针对性的研究,以指导教育工作者了解AI在医疗实践中的不断变化的作用.
关键领域需要注意为未来的医疗保健专业人员提供AI能力.
解决这些焦点对于将人工智能有效地整合到医学教育和实践中至关重要.

关键词:

聊天GPT 聊天在GPT 聊天人工智能的人工智能是人工智能.聊天机器人聊天机器人聊天机器人医学教育医学教育

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