提高健康素养:通过ChatGPT的大型语言模型对患者手册的可读性进行评估
Austin R Swisher1, Arthur W Wu2, Gene C Liu2
1Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Phoenix, Arizona, USA.
概括
人工智能 (AI) 大型语言模型 (LLM) 可以将患者的手册重写到七年级的阅读水平. 这提高了可理解性,使得健康信息更容易获得.
科学领域:
- 医学教育 医学教育
- 卫生识字 卫生识字
- 医疗保健中的人工智能
背景情况:
- 患者手册对于健康教育至关重要,但通常以高阅读水平撰写.
- 提高患者材料的可读性可以提高理解和坚持.
研究的目的:
- 评估人工智能驱动的大型语言模型 (LLM) 在提高患者手册的可读性方面的有效性.
- 评估人工智能产生的修订是否提高了教育材料的可理解性和可操作性.
主要方法:
- 来自医学协会的五份患者手册被分析了可读性.
- 使用OpenAI的ChatGPT-4,将手册重写到六年级的阅读水平.
- 患者教育材料评估工具 (PEMAT) 评估了原始和人工智能修订材料的可理解性和可操作性.
主要成果:
- 人工智能修订的手册实现了平均七年级的阅读水平,显著改善了可读性指标.
- 随着AI的修订,可理解性得分从74%增加到91% (P < .05).
- 可操作性得分显示了改善的趋势 (34%至42%;P = .15).
结论:
- 大型语言模型 (LLM) 可以通过简单的AI提示有效地增强患者手册.
- 这证明了人工智能工具在优化健康教育材料以更好地理解患者方面的实用性.
- 人工智能提供了一个可扩展的解决方案,以提高医疗信息的可访问性.
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