AIBearisharXiv – CS AI · 6h ago7/10
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Understanding Stigmatizing Language in Clinical Documentation: A Paired Comparison of Ambient AI Drafts and Clinician Finalized Notes
A study of 66,297 paired clinical notes found that ambient AI documentation tools introduce stigmatizing language at higher rates than they remove it, with stigmatizing terms increasing from 21.4% in AI drafts to 24.0% in clinician-finalized versions. This reveals a critical bias problem where clinician editing amplifies rather than mitigates problematic language in electronic health records.