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个性化人工智能用于工作场所健康促进:通过数字分析进行绩效管理和医疗保健工作者的参与
Daniele Virgillito1, Caterina Ledda2
1Department of Economics and Business, University of Catania, Catania, Italy.
Frontiers in public health
|January 29, 2026
概括
医疗保健工作场所的人工智能 (AI) 可以提高员工的福祉和绩效. 然而,需要对其有效性,采用和可持续影响的伦理考虑进行更多的研究.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 工作场所健康工作场所健康
- 组织心理学是组织心理学.
背景情况:
- 人工智能 (AI) 越来越多地被用于医疗保健环境,以提高员工福祉和组织绩效.
- 关于人工智能在医疗保健工作场所的有效性,采用和局限性的证据是分散的.
- 本范围审查系统地绘制了基于人工智能的数字技术的文献,用于在医疗保健工作人员中促进工作场所健康和绩效管理.
研究的目的:
- 系统地绘制有关人工智能应用在医疗保健工作者福祉和绩效方面的现有文献.
- 确定使用的AI技术类型,它们的健康促进重点,以及报告的结果.
- 综合关于人工智能在医疗保健工作场所的好处和局限性的证据.
主要方法:
- 根据PRISMA-ScR指导方针进行范围审查,直到2025年7月进行.
- 研究使用人口-概念-背景 (PCC) 框架进行了选择.
- 在多个数据库 (PubMed,Scopus,Web of Science,PsycINFO,IEEE Xplore,Google Scholar) 的搜索中,确定了21项相关研究用于合成.
主要成果:
- 包括21项研究 (定量,定性,混合方法).
- 关键应用包括人工智能支持的健康监测/干预和人工智能驱动的性能优化.
- 观察到的好处:减少了压力,倦怠,疼痛;提高了效率,文档,参与度. 限制:时间短,方法异质,隐私问题,采用变量.
结论:
- 基于人工智能的数字技术显示出改善医疗保健工作者健康和组织可持续性的前景.
- 未来的研究应该专注于严格的设计,标准化的结果,隐私和以人为中心的整合.
- 解决局限性对于最大限度地提高AI在医疗保健工作场所的长期影响至关重要.
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