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Protect patients with intelligent video monitoring that detects falls, wandering, bed exits, and distress in real time. Visylix helps hospitals and care facilities reduce adverse events, accelerate staff response, and maintain comprehensive safety compliance through AI-powered vigilance.
Key challenges that organizations face without intelligent AI-powered solutions.
Patient falls are the most common adverse event in hospitals, with traditional nurse-call systems relying on patients to self-report, leaving cognitively impaired or unconscious patients unprotected.
Dementia and Alzheimer patients frequently wander from designated areas, creating elopement risks that endanger their safety and expose facilities to significant liability.
Nursing staff shortages make continuous manual patient observation impossible, especially during overnight shifts when fall risk is highest and staffing ratios are lowest.
Regulatory compliance requires detailed incident documentation and response time tracking, which manual observation and retrospective chart review cannot provide accurately or consistently.
Intelligent capabilities that transform your existing camera infrastructure into a powerful decision-making engine.
Pose estimation AI detects fall events in real time by analyzing body position changes, distinguishing actual falls from normal movements like bending or sitting, and instantly alerting nursing staff with room-level precision.
Person tracking monitors patient movement patterns in corridors, exits, and restricted areas, triggering graduated alerts when at-risk patients approach unauthorized zones or exhibit wandering behavior.
AI monitors bed occupancy status and detects pre-exit movements such as sitting up, leg swinging, and rail gripping, providing early warning alerts that give staff time to assist before a potential fall occurs.
Automated tracking of alert-to-response intervals, staff proximity mapping, and incident documentation provides care quality metrics for regulatory compliance and continuous improvement.
Quantifiable improvements delivered through AI-powered intelligence and automation.
Early detection and prevention alerts significantly reduce the number of patient fall incidents across monitored units.
Instant AI alerts with room-level precision dramatically reduce the time between incident detection and staff arrival.
Proactive corridor and exit monitoring prevents the vast majority of elopement attempts before patients reach unsecured areas.
Automated incident logging and response tracking ensure near-perfect regulatory documentation without manual charting burden.
No. Visylix holds no formal certification, and we will not claim otherwise. It provides the technical controls those frameworks ask for: on-premise or air-gapped deployment, encryption in transit, role-based access control with 30+ permissions, configurable retention, evidence lock and full audit logging. Certification is on the roadmap.
Processing happens on hospital infrastructure, so footage never leaves the building for analysis, including AI inference and copilot queries. Privacy redaction can mask faces or regions before any export, and access control limits who can view which cameras, with every view logged.
It detects the underlying events rather than making a clinical determination. Pose estimation, anomaly detection, intrusion and loitering run on live streams and Sudarshan rules can require a sequence before alerting. Any use in a clinical safety pathway should be validated on your own footage during the proof of concept.
Yes. Retention is configurable per camera and per site, so areas with different regulatory requirements can hold footage for different periods on one system. Evidence lock holds specific recordings beyond the window while an incident is investigated.
Radha runs entirely on-premise on hospital hardware, so nothing it processes is transmitted externally. It has 100+ tools available against the camera fleet, 12 of which change state and require explicit confirmation, none of which can delete anything, and every query and action is audit-logged against the operator.
See how Visylix AI can enhance patient safety at your facility with intelligent fall detection, wandering prevention, and real-time care quality monitoring.