词语如何使人失去信誉:电子健康记录中的污名化语言的分类
Amanda McArthur1, Alya Ahmad1, Anne R Links1
1The Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, MD 21205, USA.
Patient education and counseling
|February 14, 2026
概括
电子健康记录 (EHR) 含有伤害患者的污名化语言. 开发这种语言的分类学对于以患者为中心的护理和减少伤害至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 语言学的语言学.
- 卫生社会学 卫生社会学
背景情况:
- 电子健康记录 (EHR) 中的语言可以延续耻辱.
- 这种耻辱可能会破坏患者与临床医生的关系和未来的护理.
- 缺乏对电子权利书中的污名化语言的系统理解.
研究的目的:
- 在EHR中开发一种对污名化语言的分类法.
- 为了确定患者污名化的类别.
- 了解用于传达耻辱的语言机制.
主要方法:
- 来自一个大型学术卫生系统的EHR笔记的两阶段定性分析.
- 自然语言处理 (NLP) 用于识别带有污名化关键字的笔记.
- 296张纸币的开放编码,然后对400张额外的纸币进行精细化.
主要成果:
- 识别了六种类型的污名化情绪:社会上不受欢迎,难以互动,无能,操纵,不合规和不可信.
- 通过对患者行为的负面描述传达的耻辱 (例如,要求,欺骗).
- 语言机制包括强化器,怀疑证据和委语来塑造患者的表现.
结论:
- 在EHR中对语言的污名化是嵌入到语言实践中,而不仅仅是关键词.
- 这种语言强化了父权主义的规范,并损害了患者的护理.
- 了解这些动态是以患者为中心的文档和减少危害的关键.
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