CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation

Classifiers developed in this study showed high model performance and can be applied to identify patterns and target interventions to reduce stigmatizing labels and doubt markers in healthcare systems.

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Publication Details

Journal
Journal of the American Medical Informatics Association
Published
2024-12-26
DOI
https://doi.org/10.1093/jamia/ocae310
Citations
10
Primary Topic
Interpreting and Communication in Healthcare
Type
article
Field-Weighted Citation Impact
8.49

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article

CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation

Hannah L. F. Cooper, Sudeshna Das, Andrew Walker, Melvin D. Livingston et al.
10 citations
Journal of the American Medical Informatics Association
Interpreting and Communication in Healthcare
8.49
article

CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation

Hannah L. F. Cooper, Sudeshna Das, Andrew Walker, Melvin D. Livingston, Abeed Sarker, Jennifer S. Love, Annie Thorne
article en
10 citations

Abstract

Classifiers developed in this study showed high model performance and can be applied to identify patterns and target interventions to reduce stigmatizing labels and doubt markers in healthcare systems.

Journal of the American Medical Informatics AssociationVol. 32(2)
Georgia Institute of Technology (US), Emory University (US), Children's Healthcare of Atlanta (US)
National Institutes of Health, National Institute on Drug Abuse
Openalex Percentile: Top 2%
Interpreting and Communication in Healthcare
8.49
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CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation — Hannah L. F. Cooper, Sudeshna Das, et al. · Journal of the American Medical Informatics Association (2024) | TGRS Research Map | TGRS