Atlanta, GA (PRWEB) February 23, 2016
Atlanta-based Jvion, the leading clinical predictive analytics provider, will showcase their RevEgis solution during this year’s HIMSS conference in Las Vegas. The event is being held Monday, February 29 through Thursday, March 3 at the Sands Expo. In addition to in-booth demonstrations, the solution’s predictive capabilities will be highlighted as part of the session “Rising to the Challenge: Heart Attack Prediction.”
With predictive analytics becoming table stakes for providers who are struggling to prepare for value-based requirements while avoiding current penalties, attendees are clamoring to see the latest in predictive capabilities and outputs.
Ritesh Sharma, Jvion’s COO, said that, “we’ve seen a big uptick in the number of attendees who are interested in predictive solutions. Last year was focused on education. The market was still trying to understand the term predictive analytics and how these solutions fit into the provider landscape. This year providers are actively seeking predictive analytic solutions that are accurate and integrate directly into the clinical workflow.”
To see a live demonstration of RevEgis during HIMSS16, please visit Jvion at booth 11547 during exhibit hall hours. And to learn more about RevEgis and its application within the provider environment, be sure to attend “Rising to the Challenge: Heart Attack Prediction” on March 1, 2016 from 8:30-9:30AM in Palazzo E. To add this presentation to your agenda, follow this link.
Jvion is a healthcare technology company that develops software designed to predict and prevent patient-level disease and financial losses. The company offers a suite of machine learning enabled solutions that combine clinical intelligence with the most advanced predictive capabilities to help healthcare organizations protect their revenues while improving health outcomes. Jvion’s objective is simple—stop the waste of resources and lives by predicting and stopping losses before they happen. For more information on Jvion’s suite of predictive analytic solutions, please visit http://www.jvion.com