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Harnessing AI in Clinical Documentation: Evaluating Large Language Model-Generated Hospital Discharge Summaries

MedXY Editorial TeamSep 2, 2025
clinical documentationlarge language modelspatient safety

Highlight

  • Large language model (LLM)-generated discharge summaries demonstrate comparable overall quality to physician-authored summaries.
  • LLM narratives are more concise and coherent but less comprehensive than physician summaries.
  • Although LLM summaries contain more unique errors, their potential for clinical harm remains low and similar to physician-generated notes.
  • Use of LLM-generated summaries following human review may reduce documentation burden while maintaining safety and quality in hospital discharge communication.

Study Background and Disease Burden

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This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

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