人工智能产生的遭遇总结:来自大型学术卫生系统的门诊医生的早期见解
Jared Silberlust1, Priyanka Solanki1, Elizabeth R Stevens1
1MCIT Department of Health Informatics, NYU Langone Health, New York, NY 10016, United States.
JAMIA open
|September 4, 2025
概括
人工智能生成的临床笔记摘要减少了提供者的电子病历时间,特别是对于那些最初审查时间较长的人. 大多数用户认为该工具准确且节省时间,表明可能改善工作流程.
科学领域:
- 临床信息学
- 医疗信息技术
- 医疗保健中的人工智能
背景情况:
- 电子健康记录 (EHR) 增加了医疗服务提供者的工作量.
- 有效的临床文档对于有效的患者护理至关重要.
- 人工智能工具正在出现以解决文档负担.
研究的目的:
- 评估人工智能生成的遭遇摘要对提供商电子健康记录的时间影响.
- 评估提供者对人工智能总结工具的有用性和准确性的看法.
- 确定影响AI总结在临床实践中的有效性的因素.
主要方法:
- 在22个医疗机构的门诊诊所部署AI临床笔记总结工具.
- 对临床审查所花费的EHR时间进行了6个月前后分析.
- 提供者调查以收集有关工具准确性,实用性和节省时间的反.
主要成果:
- 每次临床检查的平均时间从干预后3点22分钟减少到3点04分钟.
- 较高的基线复查时间与更大的电子记录时间减少相关 (P = .046).
- 大多数供应商报告了高准确度和显著的时间节省.
结论:
- 人工智能产生的经验总结显示了提高供应商工作流程效率的前景.
- 人工智能总结的好处似乎最明显的临床医生有较高的初始图表审查时间.
- 提供者对人工智能能够简化临床文档和减少倦怠的潜力表示乐观.
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