KU Leuven Department of Public Health and Primary Care, KU Leuven-University of Leuven, Kapucijnenvoer 35 PB7001, 3000 Leuven, Belgium.
Institute of Health and Care Sciences, University of Gothenburg, Arvid Wallgrens backe 1, 413 46 Gothenburg, Sweden.
Eur J Cardiovasc Nurs. 2024 Mar 12;23(2):122-126. doi: 10.1093/eurjcn/zvad087.
Patient information materials often tend to be written at a reading level that is too advanced for patients. In this proof-of-concept study, we used ChatGPT and Google Bard to reduce the reading level of three selected patient information sections from scientific journals. ChatGPT successfully improved readability. However, it could not achieve the recommended 6th-grade reading level. Bard reached the reading level of 6th graders but oversimplified the texts by omitting up to 83% of the content. Despite the present limitations, developers of patient information are encouraged to employ large language models, preferably ChatGPT, to optimize their materials.
患者信息材料往往倾向于使用对患者来说过于高级的阅读水平。在这项概念验证研究中，我们使用 ChatGPT 和 Google Bard 将三种选自科学期刊的患者信息部分的阅读水平降低。ChatGPT 成功地提高了可读性。然而，它无法达到推荐的 6 年级阅读水平。Bard 达到了 6 年级的阅读水平，但通过省略多达 83%的内容使文本过于简单。尽管存在目前的限制，患者信息的开发者仍被鼓励使用大型语言模型，最好是 ChatGPT，来优化他们的材料。
