Leveraging an Enterprise Data Warehouse To Identify Care Gaps and Clinical Quality Improvement Opportunities

=With an increasing percentage of at-risk healthcare payments, Allina Health System’s Minneapolis Heart Institute (MHI) began to examine clinical variations among its cardiovascular patients.

In this HealthSounds episode, Pam Rush,
cardiovascular clinical service line program director at Allina Health, shares how MHI leveraged over 80 different data sources fed into its Enterprise Data Warehouse to identify gaps in care, clinical variations and quality improvement opportunities.

During Predictive Healthcare Analytics: Four Pillars for Success, a March 2018 webcast now available for rebroadcast, Ms. Rush, along with Dr. Steven Bradley, cardiologist, 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 this enterprise data warehouse.

The webinar provided details on creating a culture of quality and innovation, building dashboards, as well as several case examples of quality improvement initiatives contributing to these savings and much more.


Length: 3:44 minutes