Healthcare Technology
Alert before the fall — without sending patient video to the cloud.
Built for Chief Nursing Officer teams who need real-time visual intelligence without rebuilding an entire vision stack. EdgeReadyAI Hybrid SDK — edge inference where latency, privacy, or connectivity demand it.
Healthcare Technology
Fall alerts in milliseconds — patient video never leaves the room
Patient falls cost $30K+ per incident in extended stays, injuries, and liability; network lag means alerts arrive too late. Cloud round-trip too slow for fall prevention; storing patient video creates HIPAA/GDPR exposure. Edge processes in-room; only anonymized alerts to nursing stations and EHR workflows — raw video never leaves the room.
Cost per fall incident: 30,000 USD · Alert latency: 120 vs 850 baseline
Deployment: edge · Integration: Nurse call / EHR
More use cases
How EdgeReadyAI fits healthcare technology
Operational scenarios where edge and hybrid computer vision deliver measurable outcomes.
Virtual Sitting at Scale
One virtual nurse, twelve rooms — edge does the watching. 1:1 human sitters for high-risk patients bankrupt depleted nursing budgets while coverage gaps persist on night shifts. Improve sitter staffing ratio from 1:1 to 1:12 with hybrid inference.
Hand Hygiene Compliance (Privacy-safe)
Measure compliance without identifying staff. HAIs kill tens of thousands annually; CMS penalties and reputation damage follow preventable compliance gaps. Improve hand hygiene compliance from 68% to 94% with edge mode inference.
Healthcare Technology
Protect high-risk patients — talk to patient safety
Talk to us about deploying the Hybrid SDK for fall detection & prevention in your environment.