Falls remain one of the most dangerous and costly events in healthcare, particularly among older adults and patients with neurological conditions. Despite decades of awareness, most fall prevention programs still rely on annual screenings and subjective risk questionnaires that miss the subtle changes happening between visits.
The problem is timing. By the time a patient presents with a fall, the window for intervention has already closed. What clinicians need is the ability to detect deterioration before it becomes a crisis.
Objective movement analysis makes this possible. By tracking metrics like postural sway, stride variability, and sit-to-stand transition times over multiple sessions, clinicians can identify downward trends that are invisible to the naked eye. A slight increase in gait asymmetry or a gradual decline in balance scores becomes an actionable signal — not just a data point.
At Kinetically, our platform is designed to surface these patterns automatically, giving providers the early warnings they need to adjust treatment plans, modify home environments, or escalate care before a fall occurs.
Prediction isn’t about replacing clinical intuition. It’s about giving clinicians the quantified evidence to act on what they already suspect — sooner.