Zensi, the smart sensor healthcare system, was developed in close cooperation with a Belgian nursing home group.
During the course of the project we needed to learn as much as possible about why people in care facilities are falling. In doing so we were able to objectively identify what the main points of attention should be when aiming to minimise falling frequency and severity. In light of this we received the falling data of the nursing home group that helped us to develop Zensi, by and for professional caregivers.
The data covers 2 years of observation across 12 nursing homes and includes a total of 2.946 patients (1.815 of which fell at least once), resulting in 8.911 falling incidents.
We divide the falling location in (i) Private areas (Room, Bathroom, Toilet) and (ii) Public areas (Hallway, Common (e.g. cafetaria) and Other).
Public area falls that happen during the daytime hours are usually detected very quickly, but the vast majority of falls (78%) occur in the private areas, where accidents are naturally more difficult to be spotted immediately by staff.
This is evidenced by staff often reporting that wounds had already stopped bleeding or that the blood on the floor had already dried by the time they arrived. Similarly, residents themselves regularly report having been on the floor for some time.
They are often only discovered during one of the nightly control tours or when somebody (staff or visiting family members) happens to enter their room some time after a fall. It is clear that this can lead to significant distress and heightened risk for the residents as well as potential reputation and liability risks for the care institutions.
Zensi helps to lower these risks for all stakeholders by providing continuous monitoring and timely notifications based on the specific needs of each resident.
As such, Zensi also increases patient privacy and staff efficiency by reducing the need for physical follow-up checks to see that a resident did not get out again.
You can download the full fall data analysis here.