Challenges of using generative AI for patient education in chronic heart failure: an evaluation of content quality, readability, and actionability in cross-platform LLM-generated texts

LLMs show potential for use in patient education for CHF, but there is a structural trade-off between information detail and readability, as well as gaps in actionability and verifiability. It is recommended to combine enhanced search and structured template generation strategies, and establish a governance feedback loop involving prompt engineering, clinical expert review, and continuous monitoring to improve readability alignment, completeness of action instructions, and patient safety.