ROOK Signals - BETA
ROOK Signals - Health Monitoring: Monitor and integrate health data seamlessly
The ROOK Signals Health Monitoring analyzes health data in real time, detects abnormal trends, and triggers automatic alerts across metrics such as SpO2, Resting HR, HRV, and other vital readings, helping teams act faster without additional engineering or data-science overhead.
A single system for real-time health monitoring workflows
Your users' health data arrives continuously — but nothing tells you when a user drifts from their own normal. The ROOK Signals - Health Monitoring computes a baseline per user per signal, applies the thresholds you configure (globally or per user), and pushes an alert to your existing webhook when a measurement falls outside.
Unified monitoring logic
Every incoming signal is evaluated with configurable thresholds, statistical models, and contextual baselines — ready for dashboards, alerts, or care workflows.
Clinical-grade reliability
Built-in outlier detection, trend analysis, and audit-ready monitoring logic to support RPM programs, chronic care, and proactive intervention.
Secure alert delivery
Trigger real-time alerts through signed webhooks, push notifications, or API callbacks — helping teams act quickly when meaningful changes occur.
Multi-source monitoring
Analyze data from wearables, vitals, sleep, activity, and medical devices through a single monitoring and notification layer.
Ship in days, not quarters
Skip building custom detection engines, alert rules, and monitoring pipelines. One system to detect risks and trigger actions at scale.
Clinical use cases
Power RPM, chronic-care workflows, coaching adjustments, risk alerts, and AI-driven decision support with continuous health monitoring.
Built for product teams that need real-time health monitoring, fast.
Remote health monitoring
Detect abnormal trends, outliers, and meaningful changes across SpO2, HRV, and more vital readings in real time.
Chronic care management
Support hypertension, diabetes, respiratory health, and weight programs with alerts, thresholds, and proactive monitoring.
Clinical decision support
Turn continuous health signals into actionable alerts to identify risks, prioritize follow-up, and support better decisions.
Personalized proactive care
Adjust care plans, coaching programs, and follow-ups based on each user’s evolving health patterns and trends.
