从实证的多医院研究中探索人工智能技术对医生的工作不安全和绩效的影响
Chung-Feng Liu1, Tzu-Chi Lin2,3, Yen-Ling Ko4,5
1Department of Medical Research, Chi Mei Medical Center, Tainan 710402, Taiwan.
iScience
|January 19, 2026
概括
医疗人工智能 (AI) 在医生中造成技术压力. 人工智能对自尊的威胁显著影响了工作不安全和绩效,突出了需要支持性策略的需要.
科学领域:
- 医疗信息学 医疗信息学
- 职业心理学 职业心理学
- 人与计算机的交互
背景情况:
- 技术压力,来自技术的心理压力,影响医疗保健专业人员.
- 人工智能 (AI) 在医学中的日益集成引入了新的压力因素.
- 卡利夫的技术女士模型需要扩展,包括AI特定的心理影响.
研究的目的:
- 扩大Califf的技术女士模型,将医疗AI的自我尊重威胁纳入其中.
- 检查人工智能相关技术压力对医生工作不安全和绩效的影响.
- 了解医生对医疗保健环境中的AI的心理反应.
主要方法:
- 在台湾三家医院中对400名医生进行了调查,反应率为92.4%.
- 结构方程建模 (SEM) 分析技术压力,工作不安全和绩效之间的关系.
- 统计分析AI复杂性,过载,可靠性和自尊的威胁作为压力因素.
主要成果:
- 技术复杂性和超负荷显著增加了医生工作不安全.
- 人工智能的可靠性出乎意料地增加了工作不安全.
- 人工智能对自尊的威胁是最重要的技术压力.
- 工作不安全性对工作满意度产生了负面影响,但对工作表现产生了积极影响.
- 扩展模型解释了对人工智能的心理反应变异的44.6%.
结论:
- 感知到的自尊威胁是医生对人工智能相关技术压力的关键因素.
- 医生对工作不安全的反应是复杂的,可能包括激励性绩效提升.
- 医疗机构必须解决人工智能驱动的技术压力,以支持医生福祉和优化绩效.
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