通过自动化和人工智能减轻患者和临床医生的负担:减少行政负担的信息技术策略
Caleb Keng1, Anthony DiGiorgio2,3, Jesse M Ehrenfeld4,5
1Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA.
Journal of medical systems
|October 7, 2025
概括
医疗保健中的行政负担会导致疲劳和错误. 自动化和人工智能 (AI) 提供信息化解决方案,以提高效率和患者护理.
科学领域:
- 医疗保健提供系统
- 医疗信息学 医疗信息学
- 医学中的人工智能.
背景情况:
- 医疗保健提供系统中不断增加的行政复杂性导致临床医生的倦怠,医疗错误和患者获得护理的减少.
- 在事先授权,质量指标报告和临床文档等领域,运营效率低下很普遍.
研究的目的:
- 探索自动化和人工智能 (AI) 如何解决医疗保健服务的关键运营效率低下问题.
- 提出信息化策略,以重新调整医疗保健服务向以患者为中心,高效的护理.
主要方法:
- 检查医疗保健管理负担的现状.
- 量化管理负担对医疗保健系统的影响.
- 建议基于信息技术的解决方案,利用自动化和人工智能.
主要成果:
- 自动化和人工智能可以针对特定的低效率,如事先授权,质量报告和文档.
- 信息技术策略可以帮助减轻行政复杂性的负面影响.
- 通过技术整合,提高效率和以患者为中心的护理的潜力.
结论:
- 自动化和人工智能提供了可行的信息化解决方案,以减少医疗保健中的行政复杂性.
- 实施这些策略可以带来更有效的医疗保健服务和更好的患者结果.
- 向信息化驱动的解决方案的转变对于优化医疗保健运营至关重要.
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