定制聊天机器人的可读性与GPT-4对耳鼻喉科相关患者问题的响应
Yossef Alsabawi1, Pompeyo R Quesada2, David T Rouse2
1The University of Texas Rio Grande Valley School of Medicine, Edinburg, TX, United States of America.
American journal of otolaryngology
|August 9, 2025
概括
定制的GPT模型显著提高了耳鼻喉科患者信息的可读性,使复杂的医疗建议更容易理解. 这种简单的语言方法提高了患者的理解和结果.
科学领域:
- 医疗信息学 医疗信息学
- 自然语言处理自然语言处理.
- 卫生沟通健康沟通
背景情况:
- 低健康素养会对患者对医疗指示和健康结果的理解产生负面影响.
- 现有的耳鼻喉科患者材料和聊天机器人的反应往往超过推的六年级到八年级的阅读水平.
- 预编程聊天机器人提供准确,简单的医学信息的有效性仍然没有研究.
研究的目的:
- 为了比较一个定制编程的,普通语言的GPT模型与标准的GPT-4模型的响应可读性.
- 评估聊天机器人是否适合提供可理解的耳鼻喉科患者信息.
主要方法:
- 开发了一个定制的GPT模型,并通过33个耳鼻喉科问题进行了测试.
- 使用弗莱什-金凯德等级水平 (FKGL) 和弗莱什阅读易度 (FRE) 度量来评估响应可读性.
- 一位耳鼻喉科医生验证了答案的准确性和内容相似性.
主要成果:
- 定制的GPT模型将FKGL降低了平均4.2个等级,FRE增加了17.3个分 (p < 0.001).
- 在大多数问题主题中,可读性改进在统计学上是显著的.
- 专家审查证实了定制GPT的响应的准确性和内容相似性.
结论:
- 为普通语言预编程自定义GPT,可以生成满足CMS可读性目标的输出,而不会牺牲内容质量.
- 定制的聊天机器人可以有效地改善耳鼻喉和其他医疗领域的患者沟通.
- 这种方法有可能提高患者的参与度和遵守医疗建议.
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