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