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人工智能可以提高妇科患者教育信息的可读性吗?
Naveena R Daram1, Rose A Maxwell1, Josette D'Amato1
1Wright State University, Department of Obstetrics & Gynecology, Dayton, OH.
American journal of obstetrics and gynecology
|June 27, 2025
概括
大型语言模型 (LLM) 创建了更短的患者教育材料,但使用了更困难的单词,未能达到六年级的阅读水平. 人工智能工具需要健康素养保障,以确保患者信息的真正可访问性.
科学领域:
- 医学写作 医学写作
- 卫生识字 卫生识字
- 医疗保健中的人工智能
背景情况:
- 患者教育材料往往超过推的六年级阅读水平,阻碍理解.
- 人工智能 (AI),特别是大型语言模型 (LLM),为改善医疗信息可读性提供了潜力.
- 关于LLM在生成或增强妇科患者教育材料以提高可读性方面有效性的研究有限.
研究的目的:
- 评估通过ChatGPT,Gemini和CoPilot生成的患者教育材料的可读性.
- 将人工智能生成的材料与美国妇产科医生协会 (ACOG) 和UpToDate.com.com等既有来源进行比较.
- 为了确定LLMs是否可以将内容调整到六年级的阅读水平.
主要方法:
- 对ACOG,UpToDate和LLM生成的内容 (独立版本和增强版本) 的横截面分析.
- 材料的评估使用8个可读性公式和基本文本分析.
- 由2名经过董事会认证的妇产科医生对盲目材料的评估,以确保准确性,清晰性和理解性.
主要成果:
- 由LLM生成的材料要短得多,但含有更高比例的困难单词.
- ACOG和UpToDate的材料平均分别为九年级和8.6年级的阅读水平;人工智能内容平均为10.6年级.
- 虽然CoPilot和Gemini出现了一些改善,但没有LLM达到六年级的基准;ChatGPT增加了阅读困难.
结论:
- 法律医疗师制造简洁但往往更复杂的患者教育材料,未能达到健康素养标准.
- 明确的提示并没有使LLM能够达到目标的第六年级阅读水平,以实现患者的理解.
- 人工智能生成的患者教育材料需要健康素养保障和监督,以确保真正的可访问性.
关键词:
在 ACOG 中, ACOG 是 ACOG.聊天GPT 聊天 在GPT 聊天副驾驶员 副驾驶员 副驾驶员 副驾驶员在法学士 (LLM) 课程中.人工智能的人工智能是人工智能.没有了,没有了,没有了.双子座 (Gemini) 是一个双子座.妇科 妇科医生 妇科患者教育 患者教育妇女的健康妇女的健康更多相关视频
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