How SenSafe works

The SenSafe solution consists of two meta-data sensors installed in opposite corners of resident rooms providing full monitoring coverage whilst ensuring privacy, dignity, and safety. The meta-data sensors work with AI powered scene learning to monitor and alert staff to incidents within residents' rooms.

Resident room meta-data is interpreted by an intelligent scene analysis platform.
The scene data is converted to information, displayed on the SenSafe dashboard, and activates alerts through the facility nurse call system.

Care staff are informed of incidents through their nurse call device, be it a pager, handheld device or smartphone.

SenSafe can be integrated with existing nurse call solutions or adapted as a stand-alone facility monitoring and nurse call solution.

A range of rules are set for each room matching the individual risk profiles for each resident. SenSafe uses intelligent learning to monitor the room environment and detects changes in the room consistent with set concerns.

The operating system can be used to produce reports, statistics, and analytics to monitor and improve resident care and enable pre-emptive care.

Care staff receive an alert when SenSafe detects a situation in the room which has been determined a risk, this could include a fall, sitting on the edge of the bed, rocking or pacing, extended periods in a chair or bathroom, or failure to rise from bed after a given period.

SenSafe meta-data sensors automatically complete the alert upon staff response, meaning staff are not weighed down by alerts that have been resolved.

INCIDENT DETECTED

SenSafe's meta-data sensors detects changes in the room environment according to the resident risk and behaviour profile.