Healthcare Technology
Alert before the fall — without sending patient video to the cloud.
Built for Director of Patient Safety 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
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. Centralized cloud video routing creates latency and bandwidth costs across dozens of rooms. Edge tracks autonomously in each room; cloud routes flagged feeds only to centralized virtual nursing command center.
Rooms per virtual nurse: 12 patients · Sitter staffing ratio: 1:12 vs 1:1 baseline
Deployment: hybrid · Integration: Nurse command center
More use cases
How EdgeReadyAI fits healthcare technology
Operational scenarios where edge and hybrid computer vision deliver measurable outcomes.
Fall Detection & Prevention
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. Improve alert latency from 850 to 120 with edge mode 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
Scale virtual sitting — see the command center demo
Talk to us about deploying the Hybrid SDK for virtual sitting at scale in your environment.