人工智能产生的患者说明书是否已准备好临床使用? 一个可读性比较跨常见的整形手术程序
Jamila Tukur Jido1, Ahmed Al Wizni2
1Department of Geriatric Medicine, Queen Elizabeth University Hospital, Glasgow, United Kingdom.
Journal of orthopaedic case reports
|October 13, 2025
概括
专业患者信息传单比人工智能生成的传单更容易阅读. 当前的人工智能 (AI) 模型产生复杂的健康内容,强调需要临床医生对AI产生的材料进行审查.
科学领域:
- 医疗信息学 医疗信息学
- 卫生沟通健康沟通
- 医疗保健中的人工智能
背景情况:
- 可读的患者信息对于知情同意和治疗坚持至关重要.
- 大型语言模型 (LLM) 显示出产生健康教育内容的潜力.
- 人工智能生成的患者信息传单与专业患者信息传单 (PILs) 的系统比较缺乏.
研究的目的:
- 为了比较由三个AI平台 (ChatGPT,Gemini,DeepSeek) 产生的PIL的可读性与来自英国皇家外科医生学院 (RCS England) 的PIL.
- 评估三种常见的骨科手术的AI产生的健康内容.
主要方法:
- 通过5个可读性指标分析了12个PIL (每个程序4个):Flesch阅读方便性,Flesch-Kincaid等级水平,枪击雾指数,SMOG指数和科尔曼-利乌指数.
- 用AI模型的标准化提示和RCS英格兰的传单作为专业的基准.
主要成果:
- 英格兰RCS的传单具有卓越的可读性 (Flesch阅读方便度>70,Flesch-Kincaid等级水平5.52-7.15).
- 人工智能生成的传单往往超过了推的复杂性 (学年级>12,枪雾/SMOG表明中学后的阅读).
- 聊天GPT是最复杂的;双子座和DeepSeek是中间的,但低于最佳的.
结论:
- 目前的人工智能生成的PIL并不始终符合患者可访问性可读性标准.
- 专业授权的材料对于一般患者群体来说仍然更容易获得.
- 临床人员监督和质量保证对于AI集成的患者教育材料至关重要.
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