使用ChatGPT和Google Bard来提高书面患者信息的可读性:一个概念证明
Philip Moons1,2,3, Liesbet Van Bulck1,4
1KU Leuven Department of Public Health and Primary Care, KU Leuven-University of Leuven, Kapucijnenvoer 35 PB7001, 3000 Leuven, Belgium.
European journal of cardiovascular nursing
|August 21, 2023
概括
像ChatGPT这样的大型语言模型可以提高患者信息可读性,但可能不会达到6年级的水平. 谷歌巴德实现了目标水平,但内容显著过于简化.
科学领域:
- 卫生识字 卫生识字
- 医学沟通 医学沟通
- 医疗保健中的人工智能
背景情况:
- 患者信息材料经常以一般患者无法阅读的阅读水平撰写.
- 有效的健康沟通对于患者理解和遵守医疗建议至关重要.
研究的目的:
- 评估大型语言模型 (LLM) 在简化科学期刊内容以使患者理解方面的有效性.
- 为了比较ChatGPT和Google Bard在降低患者信息材料的阅读水平方面的表现.
主要方法:
- 从科学期刊中选择了三个患者信息部分进行分析.
- 使用ChatGPT和Google Bard来降低所选文本的阅读水平.
- 评估了可读性指标,以确定LLM的有效性.
主要成果:
- 聊天GPT显示文本可读性有所改善,但并未始终达到6年级推的阅读水平.
- 谷歌Bard成功地将阅读水平降低到六年级,但导致了大量的内容过度简化,遗漏了高达83%的原始信息.
- 这两种LLM都显示出潜力,但在平衡可读性和内容忠实性方面存在局限性.
结论:
- LLM,特别是ChatGPT,在提高患者信息材料的可读性方面表现有前途.
- 需要仔细实施,以避免过度简化,并确保保留关键医疗信息.
- 鼓励进一步的研究和开发,以优化LLM应用,创造可访问的患者教育资源.
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