通过人工智能驱动的自动临床笔记生成来评估患者报告的护理满意度和初级护理的记录时间:概念验证研究协议
Josep Vidal-Alaball1,2,3, Carlos Alonso4, Daniel Hugo Heinisch4
1Research and Innovation Unit, Gerència d'Atenció Primària i a la Comunitat de la Catalunya Central, Institut Català de la Salut, Manresa, Spain.
JMIR research protocols
|April 7, 2025
概括
这项研究评估了Relisten,这是一种通过自动化临床文档来增强患者护理的AI工具. 早期结果表明,改善了患者满意度,并为初级保健机构的医疗保健专业人员节省了大量时间.
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Recog Analytics开发的AI软件Relisten通过实现自然的临床医生与患者互动来简化患者护理.
- 它从录制的对话中提取和结构化信息,用于电子健康记录,减少行政负担.
- 这使得医疗保健专业人员能够更多地关注患者的互动,而不是文档.
研究的目的:
- 用人工智能辅助的文档评估患者报告的满意度和感知到的护理质量.
- 评估医疗保健专业人员对使用AI工具提供的护理的满意度.
- 用AI解决方案测量电子医疗记录 (EMR) 数据输入的时间效率.
主要方法:
- 一个多中心的概念验证 (PoC) 试验,涉及初级保健中心 (CAP) 的护士和医生.
- 结果指标包括患者报告的护理质量 (调查),临床医生满意度 (调查,采访) 和记录时间的节省 (手册与人工智能生成的笔记).
- 统计分析使用独立的样本比较测试,通过科尔莫戈罗夫-斯米尔诺夫和利利福斯测试评估正常性,以及专业间差异的分层测试.
主要成果:
- 根据SPIRIT检查清单制定协议;招聘开始于2024年7月.
- 截至2024年11月,已注册318名患者;预计到2025年3月全面招募.
- 数据分析计划于2025年4月至5月进行,预计结果将于2025年6月发布.
结论:
- 预计患者对护理质量的感知有所改善.
- 预计临床笔记时间的显著减少,目标是每次访问至少节省30秒.
- 虽然预计音符质量高,但在现有的高质量控制音符上显示显著优势仍然不确定.
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