We believe a hospital’s number one priority is the safety of patients, and that optimal patient care avoids needless and costly challenges. The current fall risk assessment system is flawed, putting patients in danger and costing hospitals billions. And these falls are often avertable. Our goal is to eliminate preventable falls by revolutionizing the way clinicians monitor patient fall risk status.
Centers for Medicare & Medicaid Services (CMS) classifies in-hospital falls as preventable events and will not cover the expense.
Standard fall risk scales yield a significant number of false “low risk/no risk” scores, leading nurses and clinical staff to inadvertently miss potential dangers or risk factors.
The current fall risk assessment tools do not create patient-specific action plans, meaning nursing staff may not have the most effective preventive plan in place for each patient.
The Kinometrix System eliminates false “low/no risk” assessments, reducing the number of preventable falls and providing a 6.5:1 return on investment to hospitals.
By using more rigorous, objective patient measurements, Kinometrix allows nursing staff to manage risk through specific actionable fall risk reports, yielding better and more targeted fall-prevention care.
Kinometrix Software analyses key metric data and provides guidance to address a patient’s individualized risk factors for falling. Risk factors such as gait impairment, medication, and stability level are thoroughly detailed on a patient’s profile dashboard, and schedules can be developed around a patient’s toileting and ambulatory habits.
Sam is a nationally certified athletic trainer specializing in rehabilitation. Sam did his training at the University of Miami where he worked full season rotations with the Hurricane Football and Baseball Teams. Sam was part of a research team that investigated injury risk screening using cost-effective motion analysis systems. Before co-founding Kinometrix, Sam consulted with the military on how to incorporate proper nutrition and training to reduce injury and improve performance.
Devina has 10 years of clinical research development experience specializing in rare disorders and nursing interventions. She has a BS in Physiology Neurobiology from University of Maryland, and an MPH in Epidemiology from Virginia Commonwealth University. Before joining Kinometrix, Devina spent six years at Inova Health System developing nursing and clinical research, and also worked on developing the algorithmic platform currently used by Kinometrix.
© 2019 Kinometrix Inc.