Infographic: The Current State of Healthcare Predictive Analytics

Monday, March 12th, 2018
This post was written by Melanie Matthews

Most organizations sit on a wealth of healthcare data but raw data in itself is not enough to drive down costs and reduce risk, according to a new infographic by Advanced Plan for Health.

The infographic examines how to leverage predictive analytics to improve key areas of cost and risk including wellness programs, case management and telehealth use.

Predictive Healthcare Analytics: Four Pillars for SuccessWith an increasing percentage of at-risk healthcare payments, the Allina Health System’s Minneapolis Heart Institute began to drill down on the reasons for clinical variations among its cardiovascular patients. The Heart Institute’s Center for Healthcare Delivery Innovation, charged with analyzing and reducing unnecessary clinical variation, has saved over $155 million by reducing this unnecessary clinical variation through its predictive analytics programs.

During Predictive Healthcare Analytics: Four Pillars for Success, a 45-minute webinar on March 29th at 1:30 p.m. Eastern, Pam Rush, cardiovascular clinical service line program director at Allina Health, and Dr. Steven Bradley, cardiologist, Minneapolis Heart Institute (MHI) and associate director, MHI Healthcare Delivery Innovation Center, will share their organization’s four pillars of predictive analytics success…addressing population health issues, reducing clinical variation, testing new processes and leveraging an enterprise data warehouse. Click here for more information.

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