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Prompt Engineering in Large Language Models for Patient Education: A Systematic Review

2025-03-28

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Large language models (LLMs) have shown promise in generating patient-friendly medical content, but their outputs often vary in accuracy, readability, and relevance. Prompt engineering—structuring inputs to guide LLM responses—may improve the quality of educational materials, yet its impact on patient education remains unclear. <h4>Objectives</h4> To systematically review w...

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Literature Corpus work
cd41ebea-2c75-549a-a1c8-f926ff11a28f
DOI
10.1101/2025.03.28.25324834
Open publication

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Prompt Engineering in Large Language Models for Patient Education: A Systematic ReviewDOI 10.1101/2025.03.28.25324834
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