通过人工智能驱动的工作流程改进来提高医疗保健工作者的心理健康:一个范围审查
Bhavyaa Dave1, Priya Martin2, Sharel Singh David3
1University of Queensland-Indian Institute of Technology, Delhi (UQ-IITD) Research Academy, St Lucia, Queensland, Australia; Rural Clinical School, Medical School, The University of Queensland, Australia; Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India.
International journal of medical informatics
|October 2, 2025
概括
人工智能 (AI) 可以通过优化工作流程和减少行政任务来改善医疗保健工作者的心理健康. 需要进一步的研究来解决实施挑战和长期影响.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 人工智能在医学中的应用
- 职业健康 职业健康 职业健康
背景情况:
- 医疗保健工作者 (HCW) 经历了更高的心理健康问题比率,如倦怠和压力.
- 行政负担和低效的工作流程加剧了这些问题.
- 人工智能 (AI) 为简化医疗保健流程和支持HCW福祉提供了潜在的解决方案.
研究的目的:
- 进行范围审查,绘制当前关于人工智能在提高HCW心理健康方面的作用的证据.
- 确定针对改善心理健康的AI应用和工作流程领域.
- 探索人工智能实施对HCW福祉的潜在好处和挑战.
主要方法:
- 坚持最佳实践的范围审查方法.
- 在没有日期限制的情况下,对学术和灰色文学进行全面的搜索.
- 两个阶段的双重选,有系统的数据提取和描述性摘要.
主要成果:
- 包括2020-2024年间发表的20篇文章,探讨了像NLP,AI-EHR,ML,CDSS和生成AI这样的AI应用.
- 倦怠,压力和认知负载是解决的关键心理健康问题.
- 人工智能在简化临床文档,决策和诊断方面表现出潜力,减少行政负担并提高工作满意度.
- 挑战包括数据集成,算法偏见和监督需求.
结论:
- 人工智能通过优化工作流程和减少行政负担,显著改善HCW心理健康.
- 有证据表明,人工智能可以提高工作满意度并减轻倦怠.
- 解决数据标准化和用户信任等挑战对于成功在医疗保健中采用人工智能至关重要.
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