聊天GPT在心力衰竭中的应用:患者教育,可读性增强和临床实用性
Robert S Doyle1, Jack Hartnett1, Hugo C Temperley2,3
1Cardiology Department, Mater Misericordiae University Hospital, Eccles St., D07 R2WY Dublin, Ireland.
Journal of cardiovascular development and disease
|November 26, 2025
概括
通过提高患者教育和简化复杂信息,ChatGPT显示了改善心力衰竭 (HF) 护理的希望. 需要进一步的研究来验证其临床影响,并解决潜在的偏见.
科学领域:
- 人工智能在医学中的应用
- 数字健康数字健康
- 心脏病学 心脏病学
背景情况:
- 心力衰竭 (HF) 影响全球超过6400万,导致显著的发病率和死亡率.
- 对指导方针导向疗法的低最佳遵守与低健康素养和复杂的治疗计划有关.
- 像ChatGPT这样的大型语言模型为高频教育和管理提供了潜在的解决方案.
研究的目的:
- 系统地审查ChatGPT在心力衰竭护理中的应用.
- 评估ChatGPT在患者教育,问答和临床文档方面的准确性.
- 评估ChatGPT在改善健康信息可读性和提取临床症状方面的有效性.
主要方法:
- 根据PRISMA指南进行了系统审查.
- 在PubMed,Embase和Cochrane数据库中进行了搜索,截至2025年7月.
- 包括专注于HF环境中的ChatGPT (3.5或4) 的研究;应用了主题综合.
主要成果:
- 包括七项观察性研究,重点关注患者教育,可读性和症状提取.
- 在患者教育和问答方面,ChatGPT的准确度在78-98%之间.
- 可读性提高到六年级和七年级的水平,症状提取达到了95%的F1分数.
结论:
- 聊天GPT显示了增强心力衰竭患者教育和临床文档的巨大潜力.
- 该技术证明了可读性改善和准确的症状提取.
- 进一步的随机对照试验是必要的,以验证临床结果和减轻潜在的偏见.
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