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ONELIFE Senior Living

ONELIFE Senior Living achieves sub-2-minute fall response times across 13 communities with SafelyYou AI

Curated & reviewed by Peter Korpak, Founder & Chief Analyst, 100SignalsHow we verify
Under 2 minutes (vs. 40-minute industry average)Fall Response Time
174Intentional Self-Lowering Events Identified (74-day pilot)
Over 99%Fall Detection Accuracy

Vendor-reported figures — source: www.onelifeseniorliving.com

The Challenge

95% of falls in senior living go unwitnessed, leaving care teams unable to determine what actually occurred. Without visibility, staff defaulted to a 'when in doubt, send them out' approach, resulting in unnecessary ER visits for events that didn't require emergency care (only 3% do). Extended time on the ground after a fall also raised risks of complications, dehydration, and mortality.

The Solution

ONELIFE partnered with SafelyYou and deployed their AI-powered fall detection platform (SafelyYou Safety AI™) across all 13 communities, using computer vision to detect on-the-ground events with over 99% accuracy. The system distinguishes between true falls and intentional self-lowering events, instantly alerting staff. ONELIFE also expanded to SafelyYou Staffing AI™ to measure care delivery, adjust staffing based on real resident acuity, and align billing with actual care provided.

Results

During a 74-day pilot across two communities, SafelyYou identified 174 intentional self-lowering events, eliminating unnecessary documentation and ER send-outs for those incidents. Response times dropped to under 2 minutes compared to an industry average of 40 minutes. Results were compelling enough that ONELIFE expanded SafelyYou to all 13 communities before the pilot formally concluded.

Key Takeaways

  • Differentiating true falls from intentional self-lowering is the highest-leverage intervention: it cuts unnecessary ER visits, reduces documentation burden, and improves care precision simultaneously.
  • Sub-2-minute response times (vs. a 40-minute industry average) are achievable with always-on AI detection — the gap represents a meaningful reduction in fall-related complications.
  • Strong early pilot data can justify enterprise-wide rollout ahead of schedule; waiting for a full pilot to conclude is not always necessary when improvement is clearly measurable.

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Vendor

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Details

Company Size
MidMarket
Quality
Curated
Last verified
Jul 28, 2026

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