• Alexander J Baldwin.
• Department of Burns and Plastic Surgery, Buckinghamshire Healthcare NHS Trust, Buckinghamshire, UK. Electronic address: alexbaldwin@doctors.org.uk.
• Burns. 2024 Jun 1; 50 (5): 112211271122-1127.

AimsThis study aimed to assess the potential of using an artificial intelligence (AI) large language model to improve the readability of burns first aid information.MethodsAn AI language model (ChatGPT-3) was used to rewrite content from the top 50 English-language webpages containing burns first aid information to be understandable by an individual with the literacy level of an 11-year-old, as recommended by the American Medical Association and Health Education England. The assessment of readability was conducted using five validated tools.ResultsIn their original form, only 4% of the patient education materials (PEMs) met the target readability level across all tools. The median grade was 6.9 (SD=1.1). One-sample one-tailed t-test revealed that this was not significantly below the target (p = .31). After AI-modification, 18% of PEMs reached the target level using all tools, with a median grade of 6 (SD=0.9), which was significantly below the target level (p < .001). Once rewritten using AI, paired t-test demonstrated that all readability scores improved significantly (p < .001).ConclusionUtilising an AI language model proved an effective and viable method for enhancing readability of burns first aid information.Copyright © 2024 Elsevier Ltd and International Society of Burns Injuries. All rights reserved.

15 keywords...

hide…