在儿科中,人工智能生成了对患者信息的回复草案
April S Liang1, Shivam Vedak1, Alex Dussaq2
1Division of Hospital Medicine, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA 94304, United States.
JAMIA open
|November 26, 2025
概括
儿科临床医生发现,人工智能 (AI) 产生的草稿反应对于减少感知任务负载是有用的,尽管与产科临床医生相比,使用率较低. 这种人工智能工具有望提高儿科护理的效率.
科学领域:
- 医疗信息学 医疗信息学
- 临床实践 临床实践
- 医疗保健中的人工智能
背景情况:
- 医疗保健中的患者消息系统产生了大量的临床医生工作量.
- 人工智能 (AI) 为管理通信任务提供了潜在的解决方案.
- 了解临床医生对人工智能工具的经验对于采用至关重要.
研究的目的:
- 评估儿童门诊临床医生对人工智能生成的答案草案的利用和经验.
- 将儿科临床医生的经验与成人专科临床医生的经验进行比较.
- 评估人工智能工具对临床医生的任务负载和工具推的影响.
主要方法:
- 在儿科和产科诊所进行了一项前性试点研究.
- 临床医生使用嵌入在电子健康记录中的AI功能来生成响应草案.
- 收集的数据包括人工智能草稿使用率和临床医生通过调查报告的任务负载.
主要成果:
- 儿科临床医生利用人工智能生成的草稿的13.3%,低于产科临床医生 (18.3%).
- 尽管使用率较低,但儿科临床医生报告说,感知任务负载的显著减少.
- 与产科临床医生相比,儿童临床医生更有可能推人工智能工具.
结论:
- 儿童临床医生在预期范围内使用人工智能生成的答案草案.
- 人工智能工具在减少儿科临床医生的感知任务负载方面表现出实用性.
- 人工智能工具有可能提高儿科门诊护理的效率和减轻工作负担.
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