Remote Patient Monitoring Platform
Client: NovaCare Health Systems
32%
Reduction in ER Visits
94%
Patient Satisfaction
15,000+
Devices Connected
Overview
NovaCare Health Systems needed a scalable platform to monitor patients with chronic conditions from their homes, reducing unnecessary emergency room visits and improving long-term health outcomes. We partnered with their clinical and engineering teams to design and build a cloud-native remote patient monitoring (RPM) system capable of ingesting real-time data from thousands of wearable devices and surfacing actionable insights to care teams.
Challenge
NovaCare's existing workflow relied on periodic in-office check-ups, leaving dangerous gaps in patient visibility between appointments. Clinicians had no way to detect early warning signs of deterioration — such as irregular heart rhythms or sudden blood pressure spikes — until patients arrived at the ER. The platform needed to handle continuous telemetry streams from heterogeneous IoT devices while meeting strict HIPAA compliance and data residency requirements.
Solution
We architected a multi-tier ingestion pipeline using MQTT brokers for device communication, Apache Kafka for stream processing, and a time-series database for efficient storage and querying. An AI-powered anomaly detection engine, trained on historical patient data, continuously evaluates incoming vitals and triggers graduated alerts — from routine notifications to urgent escalations — based on configurable clinical thresholds. A clinician-facing dashboard built with React and D3.js provides real-time patient timelines, trend visualizations, and one-click telehealth session initiation.
Technologies Used
Results & Outcomes
Within six months of deployment, NovaCare reported a 32% reduction in avoidable ER visits among enrolled patients. Patient satisfaction scores climbed to 94%, driven largely by the sense of security that continuous monitoring provides. The platform now supports over 15,000 connected devices across 12 regional health networks, processing more than 2 million data points daily with sub-second alert latency.