加拿大多伦多多多医院电子健康记录中首选语言数据的准确性
Camron D Ford1,2, Thomas Bodley1,3,4,5, Martin Betts1,3,4,5
1Scarborough Health Network, Toronto, Canada.
PLOS digital health
|September 3, 2025
概括
在电子健康记录 (EHR) 中准确的首选语言数据对于质量护理至关重要. 这项研究发现,对首选语言的EHR准确度为86%,但对非英语语言的敏感度仅为69%.
科学领域:
- 卫生信息学
- 患者沟通
- 医疗公平
背景情况:
- 准确的偏好语言数据对于公平的医疗保健服务至关重要.
- 电子健康记录 (EHR) 是患者信息的主要来源,包括语言偏好.
- 电子健康记录中的语言数据不一致会导致沟通障碍和健康差异.
研究的目的:
- 评估加拿大大型医院网络中电子健康记录系统中首选语言数据的准确性.
- 评估基于EHR的首选语言识别的敏感性,特异性和预测值.
- 确定患者与偏好语言的电子病历准确性相关的因素.
主要方法:
- 在加拿大多伦多的三家医院进行了点患病率审计.
- 323名重症监护,内科和科服务的患者接受了采访,询问他们对医疗保健沟通的首选语言.
- 用贝叶斯多级逻辑回归来分析影响非英语首选语言的电子记录准确性的因素.
主要成果:
- 首选语言的EHR整体准确率为86%.
- 识别非英语首选语言的患者的敏感度为69% (CI 60-77),特异性为97% (CI 94- 99).
- 根据患者人口统计学 (女性,老年患者更准确) 以及医院和医疗服务的准确性不同.
结论:
- 患者报告和电子病历记录的偏好语言之间存在显著的差异,特别是对于非英语使用者.
- 需要改进的机制,以确保电子健康记录中的语言偏好数据准确.
- 提高数据准确性对于研究有效性,减轻算法偏差和解决基于语言的健康不平等至关重要.
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