评估人工智能为急诊室生成的患者出院信息:试点研究
Ruben De Rouck1,2, Evy Wille3, Allison Gilbert4
1AZ Sint Maria Halle, Ziekenhuislaan 100, Halle, 1500, Belgium. ruben.de.rouck@vub.be.
International journal of emergency medicine
|April 25, 2025
概括
生成型人工智能 (AI) 可以有效地创建患者出院信息 (PDI). 虽然人工智能产生的PDI显示出希望,但人类审查对于准确性和可靠性至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 有效的患者出院信息 (PDI) 对患者满意度和结果至关重要.
- 目前创建PDI的方法耗时且昂贵.
- 生成型人工智能和大型语言模型 (LLM) 为高效的PDI生产提供了潜力.
研究的目的:
- 调查人工智能生成的患者出院信息的关键绩效指标 (KPIs).
- 评估人工智能生成的PDI小册子的质量,可访问性,清晰度,正确性和可用性.
主要方法:
- 人工智能生成的PDI小册子是使用ChatGPT (GPT-4) 创建的,并通过DeepL.翻译成荷兰语.
- 宣传册侧重于常见的急诊室投诉:腹部疼痛,腰部疼痛和儿童发烧.
- 八名急诊医生使用5个KPI的1-10评分表来评估小册子;可读性使用标准指数进行评估.
主要成果:
- 人工智能产生的小册子在评估的各个方面平均得分为7-8/10.
- 可读性分析表明,高中到大学水平的理解能力可能被高估了.
- 需要进行修订,以优化人工智能生成的PDI文档.
结论:
- 简单的LLM提供了一个快速生成PDI小册子的机会.
- 人类审查和编辑对于确保人工智能生成的PDI的准确性和可靠性至关重要.
- 建议进行更多主题的进一步研究和住院患者验证.
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