Article ; Online: An artificial intelligence language model improves readability of burns first aid information.
Burns : journal of the International Society for Burn Injuries
2024
Abstract: Aims: This study aimed to assess the potential of using an artificial intelligence (AI) large language model to improve the readability of burns first aid information.: Methods: An AI language model (ChatGPT-3) was used to rewrite content from the ... ...
Abstract | Aims: This study aimed to assess the potential of using an artificial intelligence (AI) large language model to improve the readability of burns first aid information. Methods: An 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. Results: In 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). Conclusion: Utilising an AI language model proved an effective and viable method for enhancing readability of burns first aid information. |
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Language | English |
Publishing date | 2024-03-07 |
Publishing country | Netherlands |
Document type | Journal Article |
ZDB-ID | 197308-3 |
ISSN | 1879-1409 ; 0305-4179 |
ISSN (online) | 1879-1409 |
ISSN | 0305-4179 |
DOI | 10.1016/j.burns.2024.03.005 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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