Atlanta, GA (PRWEB) March 24, 2015
In early March 2015, Jvion launched an initiative aimed at understanding the proliferation of advanced predictive modeling solutions within hospitals. For this study, advanced predictive modeling was defined as the application of machine learning algorithms to find patterns within data to predict patient-level risk. These kinds of solutions are gaining traction and market eminence as providers search for analytic capabilities that will help them prevent patient illness, avoid penalties, and reduce the cost of care.
Highlights from the study:
- 15% of providers are using some kind of predictive modeling
- 92% of those who have predictive solutions in place are using the outputs to predict patient risk or illness
- The illnesses and conditions most often targeted include: readmissions, patient deterioration, sepsis, and general patient health
Todd Schlesinger, VP at Jvion, said that, “the survey findings point to a growing need within the provider community for solutions that help prevent patient illness through real-time predictions. With so much changing in the industry, providers are hungry for analytics that will help them improve health outcomes while reducing risk and waste across the system.”
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.