Atlanta, GA (PRWEB) June 11, 2015
Want to know how to become Health Data Management’s Clinical Visionary of the Year? Ask John Showalter, MD, Chief Health Information Officer for the University of Mississippi Medical Center. He is the 2015 recipient of the Analytics All-Stars program Clinical Visionary award based on the remarkable work he and his team are doing to predict and prevent heart disease in the state of Mississippi.
According to the official announcement from Health Data Management, Dr. Showalter was selected because of the innovative way he and his team are predicting individuals at risk of acute myocardial infarction. Using the predictive analytic software RevEgis, real-time predictive platform developed and distributed by Jvion, clinicians within the medical center are able to identify high-risk patients and provide tailored, specific, and effective interventions. Dr. Showalter and his team expect to monitor more than 25,000 patients over the coming year and track the outcomes of interventions on high-risk individuals.
Health Data Management showcases healthcare analytics’ best and brightest in their annual Analytics All Star program. These individuals are improving the health of the patient populations they serve and the financial performance of their organizations through innovation and remarkable leadership. To read the full list of Health Data Management 2015 Analytics All Stars, visit the official announcement.
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. For more information on Jvion’s suite of predictive analytic solutions, please visit http://www.jvion.com