实施全系统数字医学解读:医疗保健组织的框架
Ulka Kothari1, Allison Squires2, Jonathan Austrian3
1MCIT Department of Health Informatics, NYU Langone Health, New York, NY 10016, United States.
JAMIA open
|November 21, 2025
概括
将口译服务集成到电子健康记录 (EHR) 中,大大提高了有限英语能力 (LEP) 患者的使用率. 这种改进减少了等待时间和提高了满意度,解决了医疗保健中的关键语言访问障碍.
科学领域:
- 医疗信息学 医疗信息学
- 获得医疗保健 获得医疗保健 获得医疗保健
- 健康 公平 卫生 公平
背景情况:
- 有限英语水平 (LEP) 患者在获得医疗保健方面面临重大障碍.
- 现有的语言访问服务通常与电子健康记录 (EHR) 的集成不足.
- 在护理中的差异可能源于临床医生和LEP患者之间的沟通不足.
研究的目的:
- 在一个大型城市卫生系统中,评估和增强LEP患者的语言访问服务.
- 将口译服务直接集成到EHR系统中.
- 减少医疗保健差距,改善患者和临床医生的数字体验.
主要方法:
- 采用了一种描述性评估方法.
- 评估了使用口译服务的障碍.
- 利益相关方的参与为解决方案的开发提供了信息.
- 欧洲人文版与提供口译服务的供应商平台进行了接口.
- 实施发生在多个医院和门诊机构.
主要成果:
- 音频和视频口译服务的使用量大幅增加,从每月9700个电话增加到每月超过68,176个电话.
- 超过14000名临床医生使用该服务,为超过121,000名独特的患者提供服务.
- 排名前十个语言的平均等待时间减少到30秒以下.
- 用户满意度很高,翻译员平均评分为4.9.
结论:
- 综合到EHR的口译服务显然改善了语言访问.
- 集成成功地减少了等待时间,提高了用户满意度.
- 这一举措代表了克服语言障碍和减少LEP人口医疗保健差距的重大进展.
- 未来的工作将评估对患者结果的影响.
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