
Patient falls are still the #1 cause of sentinel events
Alairo AFP can reduce preventable falls to near-zero for your hospital customers

Alairo Active Fall Prevention gives nurses an average of 28.5 seconds to intercept a patient fall.
What's the magic?
AFP is engineered with a sophisticated computer vision and an AI engine trained by 10,000 falls, captured on video
It has proven to be faster and more accurate than a panel of nurses at predicting imminent bed exits.
What does AFP solve?
Patient falls with injury have significant impact
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Hospitals incur 100% of the treatment costs, from surgery to lost hospital room revenue
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Medicaid Reimbursement penalties can cost $$ millions.
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HCAHPS score impacts, reviews, and ratings
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Major lawsuits
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Hospital brand and reputation issues

The Active Fall Prevention solution was designed, and the algorithms are trained specifically to predict imminent bed exits - quickly and accurately.
The AFP solution is the only telesitter replacement with AI detection effective enough to prevent falls. Virtual nursing solutions don't provide adequate notice to nurses.

The core design philosophy:
The system uses AI for rapid detection of signature bed exit movements.
But it was trained by an extensive process involving annotating 300,000 hours of patient video, capturing 10,000 bed exits.
So, the system embodies human judgement, but executes at the speed of a computer.
Main Components of the System - the Sensor
Sensor
The sensor contains cameras to determine position and depth. Infrared captures images in darkness. It weighs about 3 pounds and is easy to move between rooms.
All patient video is blurred for privacy.
Wall Dock

The wall dock provides power and communicates the room number.
Sensors can be moved from room to room, and the dock loads the new room number into the sensor.
Main Components of the System

Monitoring Station
Up to 24 rooms can be simultaneously monitored without scrolling. Any alerts are highlighted immediately, where the nurse can call into the room with two-way audio.

