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Zimmer Biomet

Caresyntax Reaches Final Round of Health Innovation Award

03 Jul 2018

With a focus on digital technology-enabled innovation, the Zimmer Biomet Connected Health Innovation Award is for companies that tackle unmet needs in musculo-skeletal and orthopedic healthcare. The caresyntax team has made it to the Final Round and will be presenting on July 10, in Winterthur, Switzerland. The team will be presenting surgical training and root-cause analysis modules of the proprietary data-warehouse platform, qvident, with a specific focus on reducing surgical variation in joint-replacement surgeries

“The operating room is a fast-paced environment where decisions have to be made quickly”, said Marie Loubière, SVP Product and Marketing at caresyntax, “Each OR team has to function in unison, even if the members are meeting each other for the first time. In such a dynamic environment, errors and adverse events can occur very easily and result in negative patient outcomes or even morbidity. These errors may be avoidable.”

Successful operative outcomes are not only dependent on the disease factors of the patient but also on the technical skills of the surgeon, communication between the team members and many more. This applies even more acutely in the case of joint replacement surgery, where most of the outcome depends on the ability of the surgical team to properly replace the joint.

However, comprehensive assessment of operative quality is not possible with traditional post-event analysis. “In order to get the transparency on the surgical variability and eliminate patient risks,” explains Loubière, “as many data points as possible should be captured and be stored for the root-cause analysis. Such analysis can be performed not only in the real live surgeries but also during the simulated surgical training in order to improve the quality of surgeries and surgical skills from the very early stage.”

Joint-replacement companies also need to differentiate themselves from the competition, and implement innovative business models such as risk-sharing where they commit to reimbursing the provider in case a poor outcome happens despite proper use of the medical device.