Article

Measuring the Quality of AI-Generated Clinical Notes: A Systematic Review and Experimental Benchmark of Evaluation Methods

2025-11-20

Abstract excerpt

<h4>Background</h4> High-quality clinical documentation is essential for safe, effective care, yet producing it is time consuming and error prone. Large language models (LLMs) can assist with note generation, but clinical adoption is determined by the resulting note quality. However current evaluation practices vary, and their clinical relevance is unclear. Drawing on a multidisciplinary perspective, we examined...

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Literature Corpus work: 4c595823-7fa9-5512-9bbd-3a6a27e5fdc2
DOI: 10.1101/2025.11.18.25340507

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