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Evaluating Large Language Model Adherence to Targeted Fifth-Grade Readability Standards in Patient Education on
Faheed Shafau1, Chase Wahl1, Marcus Kado1
1Michigan State University College of Human Medicine East Lansing Michigan USA.
Abstract:
Large Language Models (LLMs) frequently generate patient education materials that exceed recommended reading levels.Prompting LLMs to produce PEMs at a 5th-grade level consistently produced statistically lower readability scores than unprompted outputs.These findings suggest that simple prompt engineering can improve clarity and accessibility of LLM-generated PEMs.
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