使用 ChatGPT 和 Google Bard 提高患者书面信息的可读性:概念验证。

IF 2.9 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
Philip Moons, Liesbet Van Bulck
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引用次数: 0

摘要

患者信息资料的编写水平往往对患者来说过于高深。在这项概念验证研究中,我们使用 ChatGPT 和 Google Bard 降低了科学杂志中三个选定患者信息部分的阅读水平。ChatGPT 成功地提高了可读性。但是,它无法达到建议的六年级阅读水平。Bard 达到了六年级学生的阅读水平,但由于省略了多达 83% 的内容,因此过度简化了文本。尽管存在目前的局限性,我们还是鼓励患者信息的开发者采用大型语言模型,最好是 ChatGPT,来优化他们的材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using ChatGPT and Google Bard to improve the readability of written patient information: a proof of concept.

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.

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来源期刊
European Journal of Cardiovascular Nursing
European Journal of Cardiovascular Nursing CARDIAC & CARDIOVASCULAR SYSTEMS-NURSING
CiteScore
5.10
自引率
10.30%
发文量
247
审稿时长
6-12 weeks
期刊介绍: The peer-reviewed journal of the European Society of Cardiology’s Council on Cardiovascular Nursing and Allied Professions (CCNAP) covering the broad field of cardiovascular nursing including chronic and acute care, cardiac rehabilitation, primary and secondary prevention, heart failure, acute coronary syndromes, interventional cardiology, cardiac care, and vascular nursing.
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