Vendor-reported figures — source: fellowshipsquare-mesa.org
Falls are a serious and ongoing safety concern in senior living communities, particularly during nighttime hours when staff availability is reduced. Fellowship Square Mesa needed a proactive solution to identify at-risk residents and intervene before falls occurred, without compromising resident privacy or dignity.
Fellowship Square Mesa deployed Helpany's AI-powered fall prevention device, 'Paul,' in every assisted living apartment. The device uses AI and radar-based technology to monitor residents' movements and analyze unique motion patterns, sending real-time alerts to caregivers when potential fall risks are detected — enabling timely interventions 24/7.
Within just two months, the community achieved a 70% reduction in falls compared to prior monthly averages, with zero nighttime falls recorded during the period. The system also reduced severe fall-related injuries and emergency room visits, and provided over $200,000 in resident value by eliminating the need for nighttime companions.
Have a similar implementation?
Share your customer's AI results and link it to your vendor profile.
Submit a case study →