Use AI to review your patient education materials by testing them against varied health literacy levels.
You've drafted discharge instructions or patient education handouts, but will every patient actually understand them? Before you print or share, use AI as a health literacy reviewer. Ask it to rewrite your materials at different reading levels — then compare the versions to see where your original might lose patients. This helps you spot confusing medical terms, overly complex sentences, or missing context that seemed obvious to you but won't be to someone unfamiliar with healthcare language. You can also ask AI to flag any jargon, acronyms, or assumptions in your original draft. It'll highlight words like "ambulate," "NPO," or "PRN" that nurses use daily but patients don't. Finally, have AI generate questions a confused patient might ask after reading your material — this reveals gaps you didn't notice. It's like getting a focus group review in seconds. Always review AI's suggestions and apply your clinical judgment. This technique helps you catch clarity issues before patients do, making your education more effective and reducing callback questions. Never paste real patient information — use general condition details or sample scenarios only.
Try this prompt today
“I've drafted patient discharge instructions for heart failure self-management. First, rewrite this at a 5th-grade reading level. Then list any medical jargon or unclear terms in my original version. Finally, generate 5 questions a confused patient might ask after reading my original instructions. Here's my draft: [paste your generic draft text here]”
March 1, 2026
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