在医疗保健中对ChatGPT的看法:有用性,信任和风险
Su-Yen Chen1, H Y Kuo1, Shu-Hao Chang2
1Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu, Taiwan.
Frontiers in public health
|September 30, 2024
概括
医疗保健和非医疗保健学生在医疗环境中对ChatGPT的看法不同. 对医疗专业来说,信任是关键,而对于其他专业来说,新性和实用性推动了采用,突出了定制人工智能集成的必要性.
科学领域:
- 医疗保健中的人工智能
- 医疗教育 技术 技术 医学教育
- 公共卫生信息学 公共卫生信息学
背景情况:
- 像ChatGPT这样的人工智能 (AI) 工具越来越多地被整合到包括医疗保健在内的各种部门.
- 了解用户对人工智能的看法对于其在医学教育,研究和临床实践中的有效实施至关重要.
- 人工智能在公共卫生教育和促进方面的潜在好处是显著的,但需要仔细考虑用户的信任和风险感知.
研究的目的:
- 探索医疗保健教育和没有医疗保健教育的个人如何在台湾感知和采用ChatGPT.
- 评估有用性,信任和风险对在临床实践,医学教育和研究中采用ChatGPT的影响.
- 为了比较医疗保健和非医疗保健专业之间对ChatGPT的看法.
主要方法:
- 对659名大学和研究生进行了在线调查,这些学生之前有过ChatGPT的经验.
- 用回归模型测量了易于使用,新性,有用性,信任和风险的感知.
- 分析了回复,以比较医疗保健专业和非医疗保健专业在医疗保健环境中的ChatGPT.
主要成果:
- 两组都发现,ChatGPT在医学教育和研究中比在临床实践中更有用.
- 对于医疗保健专业,一般信任对于在临床实践中采用至关重要,并影响了在教育/研究中的使用.
- 非医疗保健专业优先考虑新性,一般有用性和信任;他们将复杂性与信任联系在一起,与医疗保健专业不同,这些专业将易用性与风险联系在一起.
结论:
- 用户对医疗保健中的ChatGPT的期望在医疗保健和非医疗保健专业人员之间有很大差异.
- 人工智能应用必须根据用户的需求进行定制,特别是在临床实践中,强调信任和可靠性.
- 聊天GPT和类似的人工智能工具可以提高公共卫生素养,促进行为改变,为未来的医疗保健政策提供有效的人工智能集成的信息.
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