糖尿病患者电子病历中的负描述符
Tony Y Sun1, Mika Baugh2, Emily R Gordon3
1Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, 10032, United States.
Journal of the American Medical Informatics Association : JAMIA
|September 3, 2025
概括
电子健康记录 (EHR) 显示偏见的语言在糖尿病视网膜病变患者中更为常见,特别是女性和少数群体. 这种偏见在诊断后增加,影响健康结果和研究.
科学领域:
- 卫生信息学
- 医学偏见研究
- 眼科和公共卫生
背景情况:
- 电子健康记录 (EHR) 中的负面描述因素与不良健康结果和研究偏见有关.
- 现有研究表明,在女性和少数民族的电子健康记录中,偏见性语言的普及率更高.
- 糖尿病视网膜病变是可预防失明的主要原因,
研究的目的:
- 与仅患有糖尿病的患者相比,研究糖尿病视网膜病变患者的电子病历中的偏见语言模式.
- 评估残疾和患者相关的负面描述因素及其患病率.
- 基于视网膜病的诊断,性别,种族和种族的交叉偏见.
主要方法:
- 使用来自大型医疗中心的EHR数据创建匹配的患者队列.
- 鉴定和分析了负面描述因子,比较了被诊断为视网膜病变的患者和未被诊断的患者.
- 视网膜病前和后诊断的语言使用模式和交叉差异.
主要成果:
- 患有糖尿病视网膜病变的患者的电子病历显示,比仅患有糖尿病的患者有更高的偏见语言率.
- 与白人男性相比,女性,非洲裔美国人和西班牙裔患者的电子病历中偏见的语言更为普遍.
- 在视网膜病变诊断后,偏见语言的发生率增加.
结论:
- 这项研究证实在电子健康记录中存在残疾和交叉偏差.
- 调查结果强调需要在电子健康记录中解决偏见的语言,以减轻健康差异.
- 讨论临床实践和未来研究方向的影响.
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