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A multicenter survey reveals internal medicine clinicians value patient-centered language but demonstrate limited knowledge and confidence in avoiding stigmatizing language in documentation, highlighting urgent needs for education and syste
A pilot study demonstrates that ChatGPT-4 can feasibly collect accurate and satisfactory medical histories from pediatric emergency patients, streamlining triage and reducing documentation burden.
A cross-sectional evaluation of AI-generated clinical notes found significant quality deficits compared to human-produced notes, particularly in thoroughness, organization, and usefulness.
A study comparing large language model-generated versus physician-generated discharge summaries found comparable quality and safety, suggesting AI-assisted documentation could reduce clinical burden without compromising patient care.
