使用大型语言模型来解决mHealth中的健康素养问题:案例报告
Elliot Loughran1, Madison Kane, Tami H Wyatt
1Author Affiliation: University of Tennessee Knoxville.
Computers, informatics, nursing : CIN
|June 4, 2024
概括
这项研究表明,ChatGPT可以简化复杂的健康信息,以便公众更好地理解. 它有效地将教育材料重写到三年级的阅读水平,使健康主题更容易获得.
科学领域:
- 卫生识字 卫生识字
- 医学教育 医学教育
- 医疗保健中的人工智能
背景情况:
- 医疗主题本质上是复杂的,这给公众教育带来了挑战.
- 现有资源有限,以简化现有的健康内容,以便更广泛地获取.
研究的目的:
- 评估ChatGPT在减少健康相关教育材料复杂性的有效性.
- 评估ChatGPT作为改善内容可读性的编辑工具的实用性.
主要方法:
- 使用ChatGPT来调整和简化SmartSHOTS移动应用程序中的内容.
- 内容被重写,以达到三年级的阅读水平.
- 重点是减少健康教育材料中的复杂句子结构.
主要成果:
- 聊天GPT成功地减少了复杂的句子结构.
- 内容被重写,以与三年级的阅读水平保持一致.
- 该工具被证明是有效,高效和免费的,用于编辑健康材料.
结论:
- 聊天GPT显示了作为一个有效,时间效率和开源工具的潜力,用于编辑健康教育材料.
- 简化健康内容可以提高公众对健康建议的理解和遵守.
- 使用人工智能作为编辑工具可以提高重要的健康信息的可访问性.
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