Predictive patient monitoring with Sensor360°: Fewer site visits, faster signal detection, and streamlined DataOps

A global pharmaceutical leader modernized its clinical trials by deploying Sensor360°, a unified remote patient monitoring platform built on AWS. The solution streamlined multi-sensor data, improved real-time visibility into patient health, and cut operational overhead across Phase II trial sites worldwide. 

Here’s what the client achieved: 

• Sharper clinical insights: Real-time, centralized patient views brought together vitals, motion data, facial and eye-movement signals, and other wearable streams into one harmonized layer. Clinicians could track trends, compare baselines, and intervene earlier. 
• Fewer manual workflows: Automated ingestion and harmonization removed repetitive data handling and reduced dependency on site teams. This cut operational effort and improved consistency across trial regions. 
• Lower site visit frequency: Continuous remote monitoring reduced the need for physical check-ins, easing patient burden and improving trial efficiency. 
• Faster safety signal detection: Unified dashboards and predictive patterns helped clinical teams pick up adverse event indicators sooner, improving response times and overall safety. 
• Easy onboarding of new sensor types: A sensor-agnostic ingestion framework let teams add new devices quickly—REST, SFTP, SDKs, and more—without heavy engineering lift. 

A monitoring foundation built for scale 

Download the case study to learn how Sensor360° helped the pharma leader reduce data ops costs, improve patient oversight, and create a scalable platform ready for future trial phases. 

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