Name
A Data-Driven Approach to Improving Health Care Quality
Description

Persistent gaps in care highlight the need for better insights and targeted solutions. This session explores the ARCS (AHCCCS Root Cause at Scale) Analysis, a data-driven model developed through a partnership between Arizona’s Medicaid agency and Arizona State University. ARCS identifies why HEDIS® denominator events often lack corresponding numerator outcomes, helping providers, MCOs and Medicaid agencies improve care delivery. 

Join us for a walkthrough of the Root Cause Analysis (RCA) methodology, a demonstration of interactive dashboards and findings from key HEDIS measures. Attendees will leave with practical strategies for using ARCS insights to improve outcomes, close equity gaps and strengthen systemwide collaboration. 

Learn How To:

  • Apply RCA to uncover and address HEDIS performance gaps.
  • Use dashboards to translate data into actionable insights.
  • Leverage ARCS to inform outreach, coding, and policy decisions.
  • Support provider performance in key HEDIS measures.
  • Build data-driven strategies that drive impact, equity and collaboration.
     
George Runger Cameron Adams William Riley