Jvion Achieves Benchmark Accuracy in Pressure Ulcer Prediction

Building on their Big Data healthcare success and momentum, Jvion uses predictive analytics to accurately predict and prevent stage iii and iv pressure ulcers.

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Jvion successfully predicted stage iii and iv pressure ulcers with extremely high accuracy levels that, in some situations, approached 90%.

Atlanta, GA (PRWEB) August 20, 2014

Building on growing success by applying Big Data to healthcare, Jvion successfully predicted stage iii and iv pressure ulcers with extremely high accuracy levels that, in some situations, approached 90%. A company spokesperson commented that these accuracy levels have never been achieved in commercial or academic settings. The resulting capabilities can be extended to predict and prevent all types of hospital-acquired conditions to help providers avoid financial losses while improving the health of their patient population.

Stage iii and iv pressure ulcers are part of a class of events commonly referred to as “never events” by the Centers for Medicare & Medicaid Services (CMS). These events are a subset of hospital-acquired conditions that the National Quality Forum (NQF) has defined as errors in medical care that:

  •     Impact the public, health care professionals, and providers;
  •     Are measurable; and
  •     Are influenced by the policies and procedures of the provider organization.
Beginning in October 2008, Medicare established penalties for never events. While the provider has to treat a patient for complications related to the illness or condition, they are not fully reimbursed for their costs. As a result of this policy, reducing never events has become a real need for caregivers, and predicting never events has become the most effective approach to avoiding penalties while improving patient health.

Whether a solution uses simple scores like the Braden scale or more efficient and accurate methods like Big Data-powered predictive analytics, predictions that lead to prevention are providing a clear path to reducing never events. It is in the provider’s best interest to stop never events from occurring to avoid financial losses and patient suffering. As the healthcare industry moves further toward quality metrics and systems of reimbursement, predictive analytics will play an even greater key role (as it has in every other industry) in improving patient health outcomes and care coordination.

To learn more about Jvion and their full suite of Big Data predictive analytic solutions for healthcare, please visit http://www.jvion.com.

About Jvion:

Jvion is a healthcare technology company that develops software designed to predict and prevent patient-level disease and financial losses leading to increased waste. The company offers a suite of Big Data-enabled solutions that combine clinical intelligence with deep machine learning to help providers protect their revenues while improving patient health outcomes. Their objective is simple—stop the waste of resources and lives by predicting and stopping losses before they ever happen.