_{Falls are the leading cause of injury in older adults, requiring proactive intervention to prevent. While physical therapists manually assess risk, these evaluations can be missed between visits. This research investigates an automated tool that alerts providers when a patient’s gait parameters indicate a high risk of falling, acting as a critical complement to manual care.}

_{OneStep’s automated assessment was compared to manual physical therapist evaluations. The tool achieved a strong sensitivity (true positive rate) and high specificity (true negative rate). Notably, the system was able to detect a significant portion of patients at risk of fall within their first week of using OneStep, with over half identified within the first month.}

_{By using smartphone motion sensors to continuously analyze movement in real-life conditions, OneStep identifies dangerous situations that might otherwise be missed. Because these alerts are provided automatically, clinicians can focus on proactive intervention. This research proves that OneStep's technology provides comparable specificity to sophisticated AI models while offering higher sensitivity to help in preventing older adult falls.}
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