When AI Speaks Caregiver: A Case Study in Predictive, Privacy-Preserving Care

In senior living, AI often fails to gain traction because it doesn’t fit into the caregiver workflow. But when technology “speaks caregiver” — with intuitive alerts, minimal training time, and real-world relevance — adoption follows, and outcomes improve.

In this case study, Stu Hamilton will share how Amba partnered with senior living operators to deploy an AI-powered monitoring platform that combines passive sensors and predictive analytics to detect changes in resident health before they become crises. Using data from a live implementation at Simpson Senior Services, attendees will see measurable results, including:

67% reduction in falls 81% reduction in antipsychotic use Faster identification of infections and other health changes Stronger family engagement in care planning

The session will explore the design principles behind “caregiver language,” from color-coded dashboards to targeted alerts, and how these choices reduced training time, built trust, and helped staff focus on the residents who need them most.

Attendees will leave with a replicable framework for piloting AI in their own communities, strategies to overcome staff skepticism, and a clear picture of the ROI potential for predictive monitoring solutions.