评估在线患者信息的质量和可读性:英国ENT患者信息电子传单与生成人工智能的响应
Eamon Shamil1, Tsz Ki Ko2, Ka Siu Fan3
1The Royal National ENT Hospital, University College London Hospitals NHS Foundation Trust, London, England, United Kingdom.
Facial plastic surgery : FPS
|September 11, 2024
概括
聊天GPT生成的健康信息质量与专业传单相提并论,但需要更高的阅读年龄. 这凸显了需要在人工智能生成的患者教育材料中平衡质量和可读性.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 医学沟通 医学沟通
背景情况:
- 人工智能的普及,包括像ChatGPT这样的自然语言处理模型,为健康信息传播提供了新的途径.
- 人工智能产生的健康内容的质量和可读性尚未得到充分理解.
- 这项研究开创了人工智能生成和专业生产的患者健康信息之间的比较.
研究的目的:
- 将ChatGPT生成的患者信息传单的质量和可读性与医疗专业人员制作的信息传单进行比较.
- 评估评估者的医学知识对内容评估的影响.
- 分析人工智能和专业来源之间的信息指标差异.
主要方法:
- 从英国ENT和相应的ChatGPT响应中提取了患者信息传单.
- 使用"为患者提供质量信息" (EQIP) 工具评估内容质量.
- 使用弗莱什-金凯德等级水平 (FKGL) 评估可读性.
- 进行统计分析以比较来源和评估人员的专业知识.
主要成果:
- 英格兰耳,耳,耳,耳的传单质量中等 (EQIP中位数为23),差异很大;聊天GPT的响应显示质量均.
- 非专业医生提供了比医学学生更高的EQIP分数.
- 专业传单的可读性高于ChatGPT的响应,尽管内容质量相似.
- 聊天GPT内容需要一个更高的阅读年龄.
结论:
- 人工智能生成的患者信息提供与专业材料相提并论的内容质量,但在可读性方面存在挑战.
- 人工智能产生的健康内容需要更高的阅读年龄.
- 在有效的AI驱动的患者教育材料中,平衡内容质量和可读性至关重要.
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