Description: Senior living has invested heavily in technologies that detect falls and other incidents—but what if communities could prevent many of those events before they occur? This session explores how predictive AI combined with 24/7 LIVE licensed nurse monitoring is shifting the focus from incident detection to proactive prevention.
Attendees will learn how AI and licensed clinical professionals work together to identify subtle changes in resident behavior, intervene before falls, elopements, and other safety events occur, and notify community care teams in real time. The session will also explain how a Medicare-covered care model can provide these services without the traditional ongoing monthly technology costs to the community.
Through real-world resident videos, a live monitoring agent interview, and clinical outcomes from deployed communities, attendees will see how this approach has delivered a 69% reduction in falls, a 56% decrease in emergency room visits, a 3.3-month increase in resident length of stay, and meaningful reductions in healthcare costs—all while helping residents remain safer and more independent.
The session concludes with audience Q&A and a discussion on why the future of resident safety is not simply detecting incidents faster, but preventing them before they happen.
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