Examination of Stigmatizing Language in the Electronic Health Record

Examination of Stigmatizing Language in the Electronic Health Record

Importance: Stigmatizing language in the electronic health record (EHR) may alter treatment plans, transmit biases between clinicians, and alienate patients. However, neither the frequency of stigmatizing language in hospital notes, nor whether clinicians disproportionately use it in describing pati...

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Bibliographic Details
Main Authors: Bates, D. (Author), Himmelstein, G. (Author), Zhou, L. (Author)
Format: Article
Language:English
Published: American Medical Association 2022
Subjects:
Academic Medical Centers
adult
Adult
advanced practice provider
Article
Attitude of Health Personnel
Black person
Caucasian
chronic pain
Cross-Sectional Studies
cross-sectional study
diabetes mellitus
diabetic patient
disease severity
drug dependence
electronic health record
Electronic Health Records
female
Female
health personnel attitude
hospital admission
human
Humans
language
Language
Linear Models
major clinical study
male
Male
middle aged
Middle Aged
natural language processing
Natural Language Processing
physician
Physicians
prevalence
psychology
social stigma
statistical model
stereotyping
Stereotyping
university hospital
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