AI-Driven Patient Monitor Relies On Biosensor Data

A major player in AI-driven digital medicine, physIQ’s pinpointIQ solution is an end-to-end ambulatory monitoring solution that applies machine learning analytics to continuous patient data streams from wearable sensors to improve care and support clinicians tasked with managing large, complex post-acute populations. Credited as the first personalized multivariate analytics engine to receive FDA 510k clearance, the pinpointIQ solution collects continuous physiological patient data from wearable biosensors and applies artificial intelligence-based analytics to detect subtle changes in a patient’s vital sign patterns.

 

The continuous and near real-time nature of the solution allows healthcare enterprises to proactively manage care and identify personalized changes that may be a precursor to an acute care event. The data- and device-agnostic physIQ platform can accommodate any Bluetooth-enabled biosensor and has been engineered to be highly scalable and capable of continuously monitoring large patient populations. The care team user interface enables drill-down functionality into physiology data for each patient and at-a-glance visibility across the monitored patient population. If this piques your curiosity, feel free to digest more diagnoses.

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