Atlanta-based Jvion continues to make strides in driving predictive analytics to the healthcare market. Using advanced machine learning technologies, the firm is changing how healthcare organizations find predictive value in their data.
Atlanta, GA, July 31, 2015 -- Recently touted by Becker’s Healthcare as one of the five new industry players to know in predictive health analytics, Jvion continues to disrupt the predictive analytic and big data market using deep machine learning technologies. The firm creates predictive software that targets patient and population level illness to drive prevention and better health outcomes. Most recently, Jvion was showcased along with Dr. John Showalter, CHIO for the University of Mississippi Medical center, for the accuracy of their Acute Myocardial Infarction (AMI) use case. The results have been so powerful and impactful that Dr. Showalter was named Clinical Visionary of the Year for 2015.
As one of the few vendors to deliver truly predictive solutions that target patient health outcomes, Jvion is positioned to capitalize on a healthcare analytics market estimated to top $18B by 2020. “Predictive analytics are critical to the success of value-based care models,” said Jvion’s COO Ritesh Sharma. “At the center of these new models is the notion of quality outcomes. Providers need to be rewarded for the health of their patients instead of the number of times a person visits the doctor. Quality is improved by prevention and prevention is enabled by predictive analytics,” said Sharma.
Jvion’s solutions hold a leadership position over the competition in large part because they are extremely accurate, are pre-tuned and seeded with use cases, and can use missing and dirty data. Dr. Showalter showcased Jvion’s ability to use dirty and fuzzy data during a recent industry event. Jvion used the data that was already on hand within Dr. Showalter’s system—despite missing elements and discrepancies—to tune the underlying predictive platform. The result is a predictive solution that is accurately predicting who within the University’s patient population will have a heart attack within the next 12 months.
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 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 ever happen. For more information on Jvion’s suite of predictive analytic solutions, please visit https://jvion.com