VitalDiagnosis: AI-Driven Ecosystem for 24/7 Vital Monitoring and Chronic Disease Management

TL;DR

VitalDiagnosis is an AI ecosystem that combines wearable data and large language models to enable proactive, personalized chronic disease management and improve patient engagement and clinical efficiency.

Contribution

It introduces a novel LLM-driven system that integrates continuous wearable data analysis with proactive health management for chronic diseases.

Findings

Enhanced patient self-management capabilities

Potential reduction in clinical workload

Proactive health anomaly detection

Abstract

Chronic diseases have become the leading cause of death worldwide, a challenge intensified by strained medical resources and an aging population. Individually, patients often struggle to interpret early signs of deterioration or maintain adherence to care plans. In this paper, we introduce VitalDiagnosis, an LLM-driven ecosystem designed to shift chronic disease management from passive monitoring to proactive, interactive engagement. By integrating continuous data from wearable devices with the reasoning capabilities of LLMs, the system addresses both acute health anomalies and routine adherence. It analyzes triggers through context-aware inquiries, produces provisional insights within a collaborative patient-clinician workflow, and offers personalized guidance. This approach aims to promote a more proactive and cooperative care paradigm, with the potential to enhance patient self-management and reduce avoidable clinical workload.