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With 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, now available for replay, 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, 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.
You'll learn how Allina Health and the MHI Center for Healthcare Delivery Innovation:
- Optimize care across the cardiovascular care continuum, starting with primary care;
- Built an enterprise data warehouse, fed from over 75 primary sources, and use this data...from retroactive data to real-time data and then combine these two data sources for predictive analysis;
- Create a culture of innovation by asking subject matter experts, including physicians and staff, for suggestions on quality improvement processes; and
- Leverage their predictive analytics dashboard, with live examples of how the Heart Institute uses its dashboard to identify and target high-risk patient populations and the impact of these interventions.
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WHO WILL BENEFIT FROM THIS CONFERENCE?
Presidents, CEOs, medical directors, quality improvement executives, physician executives, performance improvement professionals, and strategic planning directors and consultants.