Aspect Medical System in agreement with Cleveland clinic to improve patient outcomes following surga

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Aspect Medical Systems, Inc. today gets into a collaboration with Cleveland Clinic focused on improving patient outcomes following surgery. The five year comparative effectiveness research collaboration will allow the company to utilize the Clinic’s electronic medical record system to identify anesthetic management practices that are associated with optimum outcomes. These practices will then be tested prospectively utilizing real-time decision support methods. The company has also signed a licensing agreement with Cleveland Clinic that will cover the intellectual property that emerges from the collaboration.

Aspect Medical Systems, Inc. today gets into a collaboration with Cleveland Clinic focused on improving patient outcomes following surgery. The five year comparative effectiveness research collaboration will allow the company to utilize the Clinic’s electronic medical record system to identify anesthetic management practices that are associated with optimum outcomes. These practices will then be tested prospectively utilizing real-time decision support methods. The company has also signed a licensing agreement with Cleveland Clinic that will cover the intellectual property that emerges from the collaboration.

Nassib Chamoun, president and CEO of Aspect Medical Systems said, Hospitals and clinicians are increasingly interested in delivering greater patient value by identifying clinical practices that result in better outcomes, higher quality and lower costs. We believe that anesthetic management decisions play a key role in enabling better patient outcomes. Through our collaboration with the Clinic we will utilize our expertise in analyzing large clinical databases and the Clinic’s extensive clinical data registry to evaluate, on a patient risk and procedure-adjusted basis, how different approaches to anesthetic management impact patient outcomes following surgery. Ultimately, our goal is to define interventions and decision support systems that will lead to further improvements in clinical practice and patient outcomes.

 

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