The Lawns care home cuts high-risk falls by 88% with Ally AI acoustic resident monitoring

The Lawns, a 62-bedroom care home in Worcester, struggled to prevent falls among residents during night hours when staff-to-resident ratios were lower. Routine hourly checks by carers disrupted residents' sleep and compromised their independence, creating a tension between safety and quality of life.

Ally deployed its AI acoustic resident monitoring technology across the 62-bedroom home, integrated with Person Centred Software's Digital Social Care Records (PCS). Carers receive real-time alerts on their handsets and can remotely listen to room activity before deciding whether physical intervention is necessary, eliminating unnecessary check-ins. Daily reports give management visibility into sleep patterns, staff response times, and early indicators of health issues.

High-risk falls dropped by 88% and overall falls across all residents fell by 66%. Staff reduced unnecessary night checks by 61%, freeing approximately 5 hours of carer time per night for residents who genuinely needed support. Residents experienced improved sleep quality, with 34% less restlessness reported, and the care team reported higher morale and a more cohesive working environment.

• Acoustic AI monitoring can simultaneously improve resident safety and independence by enabling remote assessment before physical intervention, breaking the traditional trade-off between the two.
• Integration with existing digital care record systems (PCS) is key to operational adoption — alerts delivered to carers' existing handsets reduced friction and drove consistent use.
• An adaptation period of several weeks is expected as the AI learns individual sleep patterns; sensitivity decreases over time as behavioural baselines are established.