Legacy Healthcare improves senior fall risk monitoring with Exer AI motion health platform

Senior living providers face persistent challenges with fall risk assessment and prevention. Traditional approaches lacked objective, continuous monitoring of residents' mobility and functional health, making it difficult to measure therapy effectiveness or maintain regular patient engagement outside of scheduled appointments.

Legacy Healthcare deployed Exer AI's computer vision-based motion health platform to deliver hybrid care across multiple touchpoints — in-clinic assessments, SMS-based self-assessment surveys via text message, and in-room monitoring within residents' apartments. The sensor-free platform uses AI on standard mobile devices to objectively measure gait, kinematics, and functional tests.

Over 90% of patients now check in at least weekly, dramatically increasing engagement frequency. The platform enabled measurable therapy impact tracking, with less than 10% of residents reporting soreness the day after treatment, indicating improved care protocol adherence and outcomes.

• Hybrid care delivery (in-clinic + remote + in-room) significantly increases patient engagement frequency in senior populations.
• Objective, sensor-free motion data enables providers to quantify therapy outcomes rather than relying on subjective reporting.
• SMS-based check-ins are an effective modality for aging patients who may not engage with complex apps.