Rathmore House eliminates 100% of high-risk night-time falls with Ally AI monitoring

Rathmore House faced persistent night-time fall risks among high-risk residents, particularly those with dementia who are sensitive to routine disruptions. Manual overnight checks disturbed residents' sleep, worsening cognitive symptoms, while staff were under significant strain monitoring residents without reliable early-warning tools.

Ally's AI-powered sensor-based resident monitoring system was deployed to track movements, monitor sound levels, and flag behavioural changes in real time — especially during night hours. The system reduced the need for intrusive manual checks by alerting staff only when risks were detected, enabling proactive intervention before incidents occurred.

High-risk night-time falls were completely eliminated following deployment. Disturbing overnight checks dropped by 27%, improving resident sleep quality. Staff reclaimed an average of three hours per night, enabling reallocation of care time to residents with immediate needs.

• Early staff scepticism around new technology can be overcome through system refinement, training, and visible results — adoption follows demonstrated value.
• Proactive AI monitoring enables care teams to identify mobility deterioration before a fall occurs, shifting culture from reactive to preventive.
• Reducing unnecessary checks improves both resident wellbeing and staff morale, creating compounding benefits beyond the primary safety goal.