聊天GPT与对患者问题的网络搜索:聊天GPT做得更好的是什么?
Sarek A Shen1, Carlos A Perez-Heydrich2, Deborah X Xie3
1Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins School of Medicine, 601 North Caroline Street, Baltimore, MD, 21287, USA. sarek.shen@gmail.com.
概括
聊天GPT为诊断提供比网络搜索更容易理解的医疗信息. 提示改善了在线寻求健康信息的患者的ChatGPT可读性.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者教育 患者教育
背景情况:
- 在线患者信息获取正在不断发展.
- 聊天生成预训练变压器 (ChatGPT) 为访问医疗数据提供了新的途径.
- 与传统来源相比,对人工智能产生的健康信息进行评估至关重要.
研究的目的:
- 为了比较ChatGPT响应的可读性和适当性与患者医疗问题的传统网络搜索.
- 评估ChatGPT提供的信息的准确性和可理解性.
- 描述ChatGPT在不同类型问题 (事实,政策,诊断) 的表现.
主要方法:
- 患者的问题来源于与美国耳鼻喉学会 - 头手术指南相关的在线帖子.
- 问题被分为事实,政策和诊断.
- 聊天GPT和传统的网络搜索被用来回答问题.
- 评估了可读性 (Flesch阅读方便,Flesch-Kinkaid分级) 和可理解性 (PEMAT).
- 准确性被盲目的临床专家评估.
主要成果:
- 聊天GPT响应的平均可读性低于网络搜索 (FRE:42.3比55.6).
- 聊天GPT和网络搜索之间的理解性是可比的 (PEMAT: 93.8%与93.5%对比).
- 聊天GPT在与诊断相关的问题上的网络搜索表现优于 (p < 0.01).
- 通过额外的提示,ChatGPT响应的可读性得到了改善 (FRE 55.6).
结论:
- 聊天GPT优于基于症状的诊断问题和事实和政策信息等同的网络搜索.
- 有针对性的提示可以提高ChatGPT响应的可读性,而不会影响准确性.
- 教育患者了解人工智能工具对医疗信息的好处和局限性至关重要.
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