The problem
Patients attempt to get up unassisted during low-staff overnight hours — when response times are slowest.
Nurses covering multiple patients cannot be physically present to witness a fall the moment it occurs.
Every minute a patient remains on the floor after a fall increases the risk of hypothermia, pressure injury and further trauma.
Placing a dedicated staff member in a chair to watch a single high-risk patient costs over $350 per patient per day.
Without a timestamped record, pinpointing exactly when and how a fall occurred for reporting and root cause analysis is difficult.
Unwitnessed falls with no video evidence leave facilities exposed to negligence claims and CMS penalty reviews.
What FlowLinks monitors
Detect rapid body-position changes consistent with a fall in corridors, rooms and common areas.
Alert the nurse station when a high-risk patient leaves the bed unassisted — before a fall occurs.
Real-time alerts with timestamp, ward, room number and video snapshot sent via WhatsApp, email or dashboard.
Watch continues through the night shift — when falls are most likely and staff coverage is lowest.
Every detected event is stored with a clip for incident reporting, family communication and regulatory review.
One observer monitors many rooms simultaneously — reducing the need for 1:1 patient sitters.
How it works
FlowLinks integrates with your hospital or care home CCTV or IP cameras via RTSP. No new hardware is installed in patient rooms.
Ward corridors, common areas and specific rooms are designated as monitored zones. Private patient areas remain off the map.
The system watches for body-position changes and bed-exit events continuously — including overnight and during shift handovers.
When a fall or bed-exit event is detected, the nurse station or designated contact is alerted in real time with location and a video snapshot.
Every alert is stored with timestamp, ward, room and video clip — ready for incident reporting, family briefings and CMS reviews.
By the numbers
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Frequently Asked Questions
See fall detection AI on your existing hospital and care home cameras.
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