Based on 3D sensors that are easy to place and move,
ISA enables detailed analysis of patient behavior to ensure safe monitoring.
ISA enables detailed analysis of patient behavior to ensure safe monitoring.
Using motion tracking algorithms, while respecting people’s privacy, the sensors continuously analyze patient behavior.
Autonomous and non-intrusive, ISA has the intelligence to detect all types of falls. It adapts to the configuration of the room to lighten the workload of caregivers and improve the quality of care services.
Lightweight and hyper-connected, 3D sensors can be placed and moved to ensure the best possible solution.
According to most people who benefit from a fall detector, these sensors are reassuring.
The design and pixel structure of the image sensor enables 3D objects to be mapped reliably, in detail and at faster frame rates.
The images produced by the fall detection system are therefore completely anonymous 3D point clouds. These are processed live on the sensor’s microprocessor and transmitted to the server and caregivers, using the most advanced security protocols.
An alert and a video file are produced whenever a fall occurs in the field of view of a sensor, whether it is high or low impact or whether it is a sag or slide off of the edge of the bed, unwanted getting up, etc.
Thanks to these images, the healthcare team will understand how it happened. The workers will then be able to personalize the care of the person, but also to make adjustments and limit the risks of another fall.
Having an illustrated and exhaustive register of falls makes it possible to identify the recurring causes of falls precisely and to improve practices by raising awareness among care teams.
This is why ISA publishes a report listing all the falls detected as well as the images before and after them. The quality manager, nurses, doctors, occupational therapist … The whole team can organize care and personalize patient care as a result.
By automating the update of the fall register, ISA offers a precise statistical analysis grid. Recording the number of falls, their repetition, response times, but also their consequences, makes it possible to assess the results of actions taken to improve the quality of life for all.
Healthcare staff are notified in real time to reduce how long it takes to react and intervene
The recordings 2 minutes before and after the fall provide tangible elements for analysis
More information to promote the well-being of the elderly and caregivers