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.
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.
Marc develops the wireless wearables, hardware, software, learning algorithms and cloud-based analytics. Marc has an MS in Biomedical Engineering and a Ph.D. in Electrical and Computer Engineering both from Johns Hopkins University. He has worked in the research institute of the gold mining industry in South Africa, in the medical devices industry in the USA, at NIH, in academia at the University of Maryland College Park, and co-founded two startup companies. He holds six issued US Patents.
Michael has 17 years of adaptive technology and product development experience in senior engineering roles with Sysco, Mandiant, FireEye, NS8 and others. His background combines an understanding of commercial needs with mastery of automation and DevOps practices in product development, platform engineering, database engineering, software, enterprise-scale I.T. operations and security. Michael has a track record of improving processes, reducing operational costs, scaling productivity, developing automation tools, and solving challenging technical problems.