编码设计一个护士领导的大型语言模型授权的代理,以增加乙型肝炎查和疫苗接种,以包容健康人群:一个研究协议
Caixia Li1, Wei Xia2, Zheng Zhu3
1The Department of Nursing, The Eighth Affiliated Hospital, Sun Yat-sen University, 5/F The Administration Building, Shenzhen 518033, China.
Nursing reports (Pavia, Italy)
|February 26, 2026
概括
这项研究共同设计了一种由护士领导的大型语言模型剂,以促进乙型肝炎查和疫苗接种在脆弱人群中. 目标是通过创新技术改善健康公平和预防性护理.
科学领域:
- 公共卫生 公共卫生
- 医疗保健中的人工智能
- 护理信息学 护理信息学
背景情况:
- 在包容性健康人群中,乙型肝炎查和疫苗接种率低于最佳水平.
- 解决查和疫苗接种差异需要创新的,有针对性的干预措施.
研究的目的:
- 共同设计和测试一个由护士领导的,由大型语言模型 (LLM) 驱动的药物,以加强乙型肝炎查和疫苗接种.
- 改善健康平等和预防性护理供应,以包容健康人群.
主要方法:
- 利用双钻模型指导的代码设计方法,跨越四个阶段:发现,定义,开发和交付.
- 进行系统审查以确定干预目标和有效组件,包括LLM适应.
- 开发了一种LLM代理,用于人与代理的互动咨询,智能案例管理和护理协调,涉及各种利益相关者.
主要成果:
- 开发的药物旨在促进护士领导的乙型肝炎查,疫苗接种和护理联系的管理.
- 混合方法评估将评估模型响应,用户体验和技术可行性.
- 在目标人群中,预计B型肝炎查和疫苗接种率的改善.
结论:
- 预计这项干预措施将增强乙型肝炎的诊断,免疫力和护理联系,以包容健康人群.
- 建立了护理专业LLM的代码设计框架,扩大护理在预防性健康公平中的作用.
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