The results of an innovative study promoted by Humanitas Gavazzeni and financed by the 5 × 1000 of the Humanitas Foundation for research were published on Frontiers in Digital Health, an international scientific journal. Objective: the prevention of accidental falls of hospitalized patients. An integral part of the project was towards Vision®, a monitoring system based on artificial intelligence, employed for the first time in Italy by Humanitas Gavazzeni, in collaboration with the Bergamasca Media company.ma.
“The publication of one of our study in a prestigious magazine as Frontiers represents an undoubted recognition for the work done – declares Emilio Bombardieri, scientific director of Humanitas Gavazzeni. – It was very important to be able to analyze, with a scientific approach, a choice of assistance aimed at increasingly improving patient security. research, also expanding it to other specialties “.
During the first feasibility study launched between 2023 and 2024, it was installed in 10 rooms (20 beds) of medicine and oncology, allowing to prevent 79% of accidental falls compared to non -monitored areas. Thanks to the 5×1000 funds raised by the Humanitas Foundation for research, the project was then also extended to 16 other hospital rooms (32 beds) in different departments, including surgery, cardiology and orthopedics.
“The study and its publication on Frontiers demonstrate the link between clinical quality and innovation that have always guided our mission – adds Massimo Castoldi, health director of Humanitas Gavazzeni. – The excellent results of the retrospective study and 5×1000 funds have allowed us to expand the project to 52 total beds, giving us the opportunity to continue with the same”. The functioning of the system is as precise as it is simple: the cameras installed in the rooms analyze patients’ movements in real time and, thanks to artificial intelligence, send instant reports to a smartphone supplied to the nursing staff in case of imminent risk, as attempts to get out of bed, exit the room or outputs delayed by the toilet.
The algorithm is also designed to respect privacy: it does not record images, but processes only the data relating to movements.
Corrado Gervasi, nursing coordinator, direction of the assistance services of Humanitas Gavazzeni, concludes: “The nursing staff has reported several significant benefits: greater prompt intervention, continuous coverage (H24), intuitive interface and a more active involvement of the patient, who must not wear further devices”.