On-Demand Webinar

Managing Population Health Risk at NorthShore Leveraging Clinical Analytics from EPIC and Tableau

Population Health Management requires data-driven tools that align and prioritize patients with the most appropriate members of their care team. The needs of a population include: preventative care, chronic disease management, transitions to and from hospital discharges, and high risk / high utilization management (a critical sub-population that represents a small portion of people but a large portion of care). Identifying and classifying these populations and their associated clinical and administrative gaps in care and displaying them in visually intelligent and EMR-integrated tools to a patient’s care team empowers them to make actionable data-driven decisions, which is critical to driving higher quality of care at lower costs.

In this session, NorthShore University Health System will articulate how self-service data discovery and visual analytics transform clinical data into predictive models and analytical tools that have been integrated back into the EHR (EPIC), and injected into clinical workflows that support population health efforts.

In this 60-minute webinar, you'll learn:

  • How large data sets from EHRs like EPIC can be transformed into actionable insights through integration with Tableau’s visual analytics platform
  • Using predictive analytics for population risk stratification to identify patients at risk of hospitalization and readmission
  • How actionable insights integrated with clinical workflows can empower physicians, nurses and case managers at the point of care for better decision making and patient engagement, impacting patient outcomes
Learn more about our Driving Innovation in Population Health Management webinar series.

About the speakers

Chad Konchak

Director of Clinical Analytics, NorthShore University Health System

Justin Lakeman

Sr. Business Intelligence Analyst, NorthShore University Healthsystem

Andy Dé

Senior Global Industry Director, Healthcare and Life Sciences, Tableau Software
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