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Saving lives with data by providing regulatory-grade safety and effectiveness data.

The global leader in vision-based patient monitoring for mental health and elderly care.

Oxehealth is a sophisticated clinical-grade platform powered by its proprietary Oxevision technology. It utilizes standard infrared-sensitive optical sensors combined with advanced computer vision and deep learning algorithms to monitor a patient's pulse and breathing rates without any physical contact. Positioned as a mission-critical infrastructure for 2026 healthcare facilities, the platform operates by detecting micro-movements of the body and skin color changes invisible to the naked eye. Beyond vital signs, the system provides high-fidelity activity analytics, identifying high-risk behaviors such as bed exits, prolonged bathroom stays, or potential self-harm indicators in mental health wards. The technical architecture is designed for edge-based processing to ensure low latency and privacy, only alerting staff when specific clinical thresholds are met. By integrating seamlessly into nursing workflows, Oxehealth transitions healthcare from reactive to proactive monitoring, significantly reducing manual 'eyes-on' checks that disrupt patient rest. Its 2026 market position is defined by its FDA Class II clearance and widespread adoption across the UK's NHS and private US healthcare providers, serving as the gold standard for non-intrusive patient safety in high-acuity environments.
Oxehealth is a sophisticated clinical-grade platform powered by its proprietary Oxevision technology.
Explore all tools that specialize in monitor vital signs. This domain focus ensures Oxehealth delivers optimized results for this specific requirement.
Explore all tools that specialize in fall risk detection. This domain focus ensures Oxehealth delivers optimized results for this specific requirement.
Uses plethysmographic signal extraction from video to measure heart rate and chest wall movement analysis for breathing rate.
Provides a low-resolution, privacy-conscious video stream to staff to confirm alerts before entering a room.
AI-driven spatial analysis to detect when a patient is sitting up, at the edge of the bed, or in the bathroom.
Aggregates movement and vitals data to generate nightly sleep efficiency and duration metrics.
Secure, time-limited access to high-definition footage following a recorded safety event.
Dynamic masking of sensitive areas within the field of view to protect patient dignity.
Detection of unauthorized room entries or multiple persons in a room for security protocols.
Clinical site assessment to determine sensor placement and coverage areas.
Installation of infrared-sensitive optical sensors in patient rooms.
Edge server deployment for localized video processing and data encryption.
Integration with facility network and secure VLAN configuration.
Configuration of Oxevision software with customized clinical alert thresholds.
Connection to EHR systems via HL7 or FHIR interfaces.
Deployment of tablet-based 'Vitals' and 'Activity' stations for nursing staff.
Comprehensive staff training on visual confirmation and alert response.
Baseline data collection period to calibrate motion sensitivity.
Full Go-Live with 24/7 technical support and performance monitoring.
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Verified feedback from other users.
"Highly praised for reducing nurse workload and improving patient safety, though requires significant initial infrastructure investment."
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