Creative Specific Software has developed an innovative solution for the detection and prediction of falls for the elderly. This solution is called VA²CS.
Halfway between connected object and artificial intelligence, it allows to offer a real service of prevention of a significant risk! <! – more ->
For the record, there are in France 1250 falls per day, for 30 deaths. The need to detect the fall is therefore not new, and several solutions already exist. However, most existing solutions rely on bracelets, pendants or watches, and this, without major innovation for 25 years. The latest solutions are based on ground-based sensors and teleassistance boxes ( see the Harmonie Mutuelle solution – Orange ), but the cost remains generally important.
There are several major limitations to these solutions:
- The first reaction of a falling person is not to press a button, whatever it is, but to try to get up
- Once standing, the 2nd reaction is not to try to call for help because they do not want to disturb. The person is not going to be taken under examination immediately, with all the consequences on health aggravations in particular.
- In the event of a fall with loss of consciousness, not all solutions can automatically send help
- Most calls via teleassistance boxes are calls of convenience (against loneliness, need to talk to someone, need for psychological assistance, etc.). The average duration of these calls is almost 3 minutes.
Moreover, in the event of a trigger or an appeal, the tele-assistants have the legal obligation today to warn the helpers (under risk of not helping a person in danger). When the family is not available, this generates firefighters’ intervention costs (180 €). When we add the potential damage to the home, when it is not always relevant, because there is not always a fall, the consequences are heavy.
With this in mind, and after working with Dr. Jean-Marie Vetel, one of the designers of the french GIR grid , Ramzi Larbi and his team have developed a new solution.
This involves equipping the living area with sensors (cameras), and then, thanks to the analysis of images captured in real time to detect falls.
When it is detected, a photo is sent automatically to the remote assistance center. It takes on average about ten seconds to give a certain answer to the action to take:
- the fall is real and you have to send help,
- either there is no fall, it is a false alarm, and the alert can be closed.
The desire is to obtain a solution at a reasonable price, the offer is based on conventional cameras and a connected box that contains intelligence and algorithms.
VA²CS already has 1500 EHPAD rooms in France, within the largest networks (Korian / Orpéa), as well as 600 private individuals. A partnership also exists abroad with Tunstall, the world leader in teleassistance for the elderly. The algorithms are patented in France and North America.
Prediction of falling
In order to complete its offer, the company has worked in partnership with Orpea to identify key factors in prediction of a fall. Then, she developed the corresponding algorithms. It is now able to predict a fall with a precision of about 60%!
Implemented in testing at Orpea, this solution has reduced falls by 50%!
The solution was then supplemented more conventionally by intrusion detection coverage or facial recognition of visits to notify malicious visitors to relatives.
My opinion on detection and prediction of falls
This solution was not developed at first with a desire to meet the needs of insurers. However, it is totally in line with the current concerns of the sector.
The potential consequences of this type of solution for public health and for insurers are in my opinion significant.
Indeed, being able to predict a fall makes it possible to send notifications to qualified personnel or a relative to intervene. This is obviously valid in specialized institutions (EHPAD) to support staff reduced at night, but use cases can go further.
Thank you Ramzi Larbi for this exchange and good luck!
Note: I do not have a commercial relationship with the company providing this service.