医学
可读性
健康素养
考试(生物学)
等级
自然语言处理
英语
语言模型
人工智能
医学物理学
医学教育
医疗保健
数学教育
心理学
经济
程序设计语言
古生物学
生物
经济增长
计算机科学
出处
期刊:Burns
[Elsevier BV]
日期:2024-03-07
卷期号:50 (5): 1122-1127
被引量:7
标识
DOI:10.1016/j.burns.2024.03.005
摘要
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. 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. 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). Utilising an AI language model proved to be an effective and viable method for enhancing the readability of burns first aid information.
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