Solera Senior Living cuts resident falls 48% and hospitalizations 54% with Inspiren AI at Lumina Las Vegas

Solera Senior Living's Lumina Las Vegas memory care community relied on a reactive care model that addressed falls and health incidents only after they occurred. Staff lacked real-time visibility into resident movement and behavior, leading to delayed interventions and higher rates of falls and hospitalizations. Care data was siloed across teams and platforms, preventing coordinated preventive action.

Solera deployed Inspiren's AUGi device-based AI ecosystem across the community, using room-mounted computer vision sensors trained on eldercare data to monitor resident movement and generate proactive out-of-bed and out-of-chair alerts. The platform also tracked care delivery patterns — staff visit frequency and duration — giving administrators data-driven insights to optimize care plans and staffing. A mobile app provided caregivers real-time alerts and allowed virtual safety checks without entering residents' rooms.

Over a 10-month study (January–October 2025), the deployment achieved a 48% reduction in resident falls and a 54% drop in hospitalizations. Staff response times fell by 50% and the technology reached a 95% daily adoption rate among care staff. Community occupancy increased 24%, reaching 93%, and one high-risk resident individually saw an 87% reduction in falls through targeted AI-prompted interventions.

• Proactive, sensor-based AI alerts can meaningfully shift senior care from reactive incident response to preventive intervention, with measurable safety outcomes.
• Privacy-first, room-based computer vision (versus wearables) removes resident compliance barriers and achieves high staff adoption when it simplifies rather than burdens workflows.
• Cross-partner data sharing (operator, AI platform, EHR, therapy, physician) through structured alliances multiplies the impact of individual AI deployments.