Article

Large Language Models Generate Stigmatizing Language During Reasoning Over Real-World Clinical Data

2026-08-14

Abstract excerpt

Stigmatizing language in clinical documentation, which conveys negative stereotypes, attitudes, or judgments toward patients, is a recognized source of documentation bias and is associated with poorer care and adverse health outcomes. Although prior stigma-related research has focused on clinician-written EHR notes, the increasing use of large language model (LLM)-generated documentation in clinical workflows rais...

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Literature Corpus work: 8815ce81-0ee8-58db-8bc6-e4f75afffc42
DOI: 10.64898/2026.08.12.26360210

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