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Current Trends in Nursing II01:30

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High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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评估环境人工智能文档:对工作效率的影响,文档负担和以患者为中心的护理.

Yawen Guo1, Jiayuan Wang1, Di Hu1

  • 1Department of Informatics, University of California, Irvine, Irvine, CA 92617, United States.

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概括

生成型人工智能 (GenAI) 环境倾听工具显著减少了医生记录时间和认知工作量. 这些工具提高了临床效率和感知的护理质量,为文档负担提供了解决方案.

关键词:
环境倾听环境倾听人工智能的人工智能是人工智能.文件 文档 文档 文件 文档效率 效率 效率 效率 效率 效率 效率电子医疗记录 [E05.318.308.940.968.625.500] 的使用调查调查调查调查调查调查调查调查

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科学领域:

  • 医疗信息学 医疗信息学
  • 医疗保健中的人工智能
  • 改善临床文档 改善临床文档

背景情况:

  • 由生成性人工智能 (GenAI) 驱动的环境倾听工具提供实时的,类似书写的支持,以减少医生的文档负担和倦怠.
  • 本研究评估了在临床工作流程中实施环境AI的好处和挑战.

研究的目的:

  • 评估医生对环境AI实施的感知效益和挑战.
  • 通过使用电子健康记录 (EHR) 时间效率指标,评估环境AI在临床工作流程中的有效性.

主要方法:

  • 在UCI健康的质量改进试点研究中,分析了Epic EHR Signal指标 (笔记长度,文档时间,当天关闭率).
  • 与实施前和实施后的调查相匹配,评估了医生对文件负担,效率和护理质量的看法.
  • 对开放式调查答案的专题分析补充了定量发现.

主要成果:

  • 来自167名医生的EHR数据显示,笔记写作时间显著减少,笔记长度增加.
  • 调查答案 (n=65) 显示认知需求 (P=.031) 和文档工作 (P=.014) 的统计学上显著改善.
  • 医生报告了提高临床效率,以患者为中心的护理和EHR可用性;主题分析确定了定制和扩展AI功能的需求.

结论:

  • 环境人工智能工具提高了文档效率,感知了护理质量,并减少了认知工作量,可能减轻临床文档负担.
  • 未来的开发应该专注于定制,可靠性,准确性和伦理/法律整合,以实现可扩展,以患者为中心的实施.