自然语言处理 (NLP):在电子医疗记录 (EMR) 中识别语言性别偏见
1Department of Statistics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Journal of patient experience
|February 3, 2025
概括
医生使用语言偏见,比如判断和操纵语言,来表达对患者的不信任. 女性患者经历了更多的欺骗和较少的判断语言,突出了潜在的医疗保健差异.
科学领域:
- 医学沟通 医学沟通
- 语言分析语言分析.
- 卫生公平性健康公平性
背景情况:
- 妇女报告医疗怀疑和歧视的增加.
- 医生的语言可以影响患者的护理和结果.
- 了解语言偏见对于解决医疗保健差异至关重要.
研究的目的:
- 探索医生用来表达不信的语言机制.
- 调查负面医学描述中的性别差异.
- 为了确定与患者偏见相关的特定语言特征.
主要方法:
- 对285份电子病历进行了内容分析.
- 识别四种语言偏见特征:判断,报告,引用和伪造.
- 情感分类,ICD-11知识图,以及用于性别差异分析的后勤回归.
主要成果:
- 女性患者接受的评判描述较少,但与男性患者相比,与伪造相关的语言更多.
- 在判断 (OR 0.69) 和操纵 (OR 1.38) 语言使用中观察到显著的差异.
- 在报告或引文语言中没有发现显著的性别差异.
结论:
- 通过语言偏见表达的医生不信任,特别是判断和欺骗,影响两性不同.
- 女性患者面临更多的欺骗和较少的评判语言,这表明医疗保健质量差异的途径.
- 解决这些语言偏见对于改善医疗保健公平至关重要.
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