Personal Care Utility (PCU): Building the Health Infrastructure for Everyday Insight and Guidance

TL;DR

The paper introduces the Personal Care Utility (PCU), an AI-powered, continuous health guidance system that integrates multimodal data for personalized, real-time health support and public health insights.

Contribution

It presents the design and architecture of PCU, a novel cybernetic system for lifelong health guidance using multimodal agents and contextual inference.

Findings

Proposes a comprehensive architecture for real-time health guidance.

Demonstrates integration of personal sensing and population analytics.

Highlights challenges in implementing adaptive health systems.

Abstract

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.