F

Fellowship Square Mesa

Fellowship Square Mesa reduces falls by 70% with Helpany AI radar-based fall prevention

Curated & reviewed by Peter Korpak, Founder & Chief Analyst, 100SignalsHow we verify
70%Fall Reduction
ZeroNighttime Falls
$200,000Resident Value Generated

Vendor-reported figures — source: fellowshipsquare-mesa.org

The Challenge

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.

The Solution

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.

Results

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.

Key Takeaways

  • Radar-based AI monitoring can achieve dramatic fall reduction (70%) in a short deployment window (2 months) without camera-based intrusion.
  • Proactive real-time alerting eliminates the highest-risk period (nighttime) entirely when implemented consistently across all units.
  • Fall prevention technology delivers measurable financial value beyond safety outcomes, including reduced staffing costs.

Share:

Details

AI Technology
IoT & Edge AI
Company Size
SME
Quality
Curated
Last verified
Jul 28, 2026

Have a similar implementation?

Share your customer's AI results and link it to your vendor profile.

Submit a case study →