Overview

SignalWatch is a continuous monitoring system that identifies and surfaces critical patient risk signals in real time. By analyzing vital signs, lab results, medication changes, and clinical documentation, SignalWatch alerts care teams to early warning signs of deterioration before they become crises.

Unlike traditional alarm systems that generate noise and alert fatigue, SignalWatch uses AI to filter signal from noise—delivering actionable, context-aware notifications that help clinicians intervene early and prevent adverse events.

Key Features

• •Multi-Signal Analysis: Correlates vitals, labs, medications, and clinical notes to detect subtle patterns of deterioration
• •Smart Alerting: Context-aware notifications that prioritize by acuity and clinical relevance, reducing alert fatigue
• •Unit-Wide Dashboards: Real-time risk scorecards for charge nurses and unit managers to monitor entire units at a glance
• •Predictive Early Warning: AI-powered predictions for sepsis, respiratory failure, cardiac events, and other high-risk conditions
• •Escalation Workflows: Automated escalation pathways when risks exceed thresholds or remain unacknowledged

Who It's For

SignalWatch is designed for:

• •Charge nurses monitoring high-acuity medical-surgical units
• •Rapid response teams seeking earlier intervention opportunities
• •Quality and safety leaders tracking preventable adverse events
• •Hospital systems implementing early warning score protocols

Coming Soon

SignalWatch is currently in development. We're partnering with hospital quality and safety teams to validate risk models and refine alert thresholds for maximum clinical utility with minimal noise.

Interested in participating in our pilot program? Contact us to learn more.