Health systems face increasing pressure to deliver accurate, timely and comprehensive quality reporting across diverse value-based care programs. This session highlights how the University of Massachusetts Memorial Health (UMass) has partnered with Optum to build a pragmatic, scalable approach to quality initiatives that bridges claims, clinical and payer data.

Attendees will hear how UMass Memorial Health leverages the Optum Performance Analytics  (OPA) platform and Datamart as a foundational data source for quality measurement. This session will highlight their internal data transformations to support standardized, auditable reporting for Medicare Advantage, Medicaid ACO and MSSP populations. The presentation will explore how UMass Memorial Health combines Optum quality data with Epic clinical data and supplemental payer reports to create a more complete view of performance, validate results and address common data gaps.

Designed for quality, analytics and population health leaders, gain practical insights into operationalizing enterprise data partnerships to support NCQA-aligned quality measurement, continuous improvement and real-world reporting needs.

Learning Objectives:

•  Understand how a health system like Optum implements large-scale quality reporting while undergoing internal transformations to support repeatable, auditable quality reporting. 
• Gain insight into a practical data integration model that combines claims-based quality data, Epic clinical data and supplemental payer quality reports to offer a more comprehensive and reliable view of performance—filling gaps that occur when relying on a single data source.  
• Summarize key lessons learned in balancing enterprise data platforms with local analytics flexibility.
• Describe how patient-level tools, master patient panels and downstream business intelligence (BI) reports like Tableau support validation and population-specific analysis, helping meet evolving NCQA-aligned quality requirements.