PCU是个人健康终身陪伴系统，实时整合数据提供精准指导。
Personal Care Utility (PCU): Building the Health Infrastructure for Everyday Insight and Guidance
- 用多模态智能体和情境推理构建持续健康引导系统
- 实现个性化信息、主动行为建议及治疗后响应追踪
- 适合长期健康管理与公共卫生研究者使用
基于数字基础设施与生物医学创新的多年积累，我们提出个人护理服务（PCU）——一种用于终身健康指导的网络化系统。PCU是一个全球性、由AI驱动的实用工具，持续协调多模态数据、知识与服务，为个人与群体提供支持。依托多模态智能体、事件中心建模与上下文推断，PCU具备三项核心能力：（1）针对个体的可信健康信息推送；（2）主动的健康导航与行为引导；（3）对医疗事件后的康复与治疗反应进行持续解读。不同于传统间断式诊疗，PCU作为环境化、自适应的健康伴侣，可实时观察、理解并指导日常生活中的健康状态。通过融合个人感知、体验计算与群体级分析，PCU不仅有望提升个体健康结果，更将为公共健康与科学发现提供新基础。本文阐述了该范式的架构、设计原则及实施挑战。
原文摘要 · Abstract (English)
Building on decades of success in digital infrastructure and biomedical innovation, we propose the Personal Care Utility (PCU) - a cybernetic system for lifelong health guidance. PCU is conceived as a global, AI-powered utility that continuously orchestrates multimodal data, knowledge, and services to assist individuals and populations alike. Drawing on multimodal agents, event-centric modeling, and contextual inference, it offers three essential capabilities: (1) trusted health information tailored to the individual, (2) proactive health navigation and behavior guidance, and (3) ongoing interpretation of recovery and treatment response after medical events. Unlike conventional episodic care, PCU functions as an ambient, adaptive companion - observing, interpreting, and guiding health in real time across daily life. By integrating personal sensing, experiential computing, and population-level analytics, PCU promises not only improved outcomes for individuals but also a new substrate for public health and scientific discovery. We describe the architecture, design principles, and implementation challenges of this emerging paradigm.
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