PR Newswire reports that JointMetrix Medical, LLC has developed novel remote monitoring technology to use in conjunction with joint replacement surgery. The company described the workings of the technology at the recent 2013 meeting of the Orthopaedic Research Society in San Antonio, Texas. JointMetrix Medical’s remote monitoring technology enables continuous and accurate measurement of patients’ joint motion and overall activity. According to company officials, this represents a breakthrough in clinicians’ ability to track and positively influence post-surgical outcomes.
Remote Monitoring Technology Developed for Joints
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The system was developed by JointMetrix Medical in collaboration with a team of clinicians and researchers at University of Washington’s Department of Orthopaedics and Sports Medicine. Several leading U.S. orthopedic centers are preparing research initiatives that leverage the system, which the company expects to be commercially released later in 2013.
“Remote monitoring will be an important element of care in Orthopaedics, allowing clinicians to more appropriately select and care for their patients, ” said Dave Marver, CEO, JointMetrix Medical. “The data our system provides will allow earlier and more effective intervention while providing much needed efficiencies for busy surgeons and their staffs.”
JointMetrix Medical, LLC was created to commercialize technology developed by Peter Cavanaugh, Ph.D., former chairman of Biomedical Engineering at Cleveland Clinic and current vice chair for research in the Department of Orthopaedics and Sports Medicine at University of Washington. Cavanagh developed JointMetrix Medical’s underlying technology over the last decade in connection with NASA-sponsored research to measure astronauts’ activity aboard the International Space Station. The company is pioneering clinical use of remote monitoring in orthopedics.
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This is a fascinating development. In my practice we've seen similar outcomes with the revised protocol. The key differentiator seems to be patient selection criteria. Has anyone else noticed the correlation with BMI thresholds?
Great point. I'd push back slightly on the conclusion, the sample size in the cited study is too small to draw population-level inferences. That said, the directional signal is compelling and worth a larger RCT.
We implemented a similar approach last year. Early results are promising but we're still gathering 12-month follow-up data. Happy to share our protocol if anyone is interested.
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