开发提供商数字双胞胎,通过基于RAG的对话框架进行个性化提供商-患者沟通
Pengze Li1, Yutong Hu1, Jianfu Li1
1Department of AI & Informatics, Mayo Clinic, Jacksonville, FL, United States.
Computational and structural biotechnology journal
|January 19, 2026
概括
本研究介绍了GRACE,这是一个创建提供者数字双胞胎 (ProDTs) 的框架,以改善临床沟通. ProDT模拟了临床医生的行为,增强了患者与提供者之间的互动,以实现个性化的医疗保健.
科学领域:
- 人工智能在医学中的应用
- 数字健康数字健康
- 临床通信系统 临床通信系统
背景情况:
- 数字双胞胎正在通过数据驱动的个人建模推进个性化医疗.
- 现有的研究主要集中在患者的数字双胞胎,忽视了提供者在临床沟通中的作用.
- 有效的临床沟通对于量身定制的患者干预和医疗保健结果至关重要.
研究的目的:
- 开发和评估GRACE (通用RAG增强对话框架) 用于构建提供商数字双胞胎 (ProDTs).
- 模仿临床医生的沟通和认知行为,以改善提供者与患者之间的互动.
- 探索ProDTs在主动和上下文意识的医疗保健传播中的应用.
主要方法:
- 格雷斯集成了三个模块:医生知情的对话脚本生成,用于知识更新的检索增强生成 (RAG) 管道,以及基于LLM的对话界面.
- 该框架使用HPV疫苗接种咨询作为使用案例进行了测试.
- 评估涉及HealthBench基准和一个用户研究与临床医生反.
主要成果:
- 在模拟提供商通信模式方面,GRACE 证明了可行性,可信性和适应性.
- 该框架支持主动和上下文意识的提供者-患者沟通.
- 结果表明,在可扩展的医疗保健应用中,认知接地数字双胞胎的潜力很大.
结论:
- 在医疗保健领域,GRACE代表了创建提供者数字双胞胎的概念进步.
- 该框架通过建模提供者的行为来增强临床沟通.
- 这项技术为医疗领域更安全,更可扩展和个性化的数字双胞胎应用铺平了道路.
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