Glencroft's Sarah's Place achieves zero nighttime falls and 22% more resident care time with AI radar platform
“Glencroft's Sarah's Place achieves zero nighttime falls and 22% more resident care time with AI radar platform” documents a Patient Safety & Fall Prevention deployment in Senior & Home Health at Glencroft Center for Modern Aging. helpany.com reports nighttime falls: 0 (zero falls over 3 months); this directory has not independently verified that result.
Evidence at a glance
- Evidence status:
- Automated evidence gate passed
- Deployment timeframe:
- Not reported by source
- Reported outcome metrics:
- 3 cited below
- Directory entry published:
- Source link checked:
The source-link check confirms reachability, not independent re-verification of every claim.
Source-reported figures — cited source: helpany.com
The Challenge
Sarah's Place, a memory care center within Glencroft's 600+ resident campus, faced rising fall risks following a complete renovation that brought in residents with more complex care needs. Falls are especially dangerous during nighttime hours when staffing is limited and residents are most vulnerable, and the team needed a privacy-preserving solution that could provide continuous monitoring without cameras.
The Solution
Glencroft equipped every apartment at Sarah's Place with Helpany's radar-based AI device, PAUL, which analyzes each resident's unique movement patterns and delivers real-time alerts to caregivers. The broader Helpany care platform also provides data-driven visibility into how care is being delivered across the community, surfacing where additional support is needed and enabling proactive interventions.
Results
Over a three-month period, Sarah's Place reported zero nighttime falls since system installation. Care teams conducted more than 250 proactive interventions and achieved a 22% increase in time spent with residents—all without adding staff. Following the success, Glencroft is expanding the platform across its assisted living units.
Key Takeaways
- Radar-based AI that models individual movement baselines enables earlier intervention than reactive monitoring, eliminating nighttime falls in a memory care setting.
- Proactive care platforms can increase direct resident time by 22% without additional headcount by reducing reactive emergency responses.
- Privacy-preserving technology (no cameras) is critical for adoption in memory care and senior living where resident dignity is a primary concern.
Details
- Industry
- Senior & Home Health
- Use Case
- Patient Safety & Fall Prevention
- AI Technology
- IoT & Edge AI
- Company Size
- Enterprise
- Evidence status
- Automated evidence gate passed
- Deployment timeframe
- Not reported by source
- Directory entry published
- Source link checked
Cited source
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