NCQA Health Innovation Summit

Making Population Health Data Trustworthy At State Scale

Race, ethnicity, and language data are critical to digital quality measurement, yet many organizations struggle with inconsistent usability across systems. This session shares real-world lessons from Connie, Connecticut’s statewide health information exchange, on how evaluating demographic data at the point of aggregation improved confidence in population health and equity analysis. Attendees will learn practical approaches for identifying data usability gaps, engaging contributors, and strengthening readiness for NCQA-aligned digital quality programs.

Speakers:

• Russell Dexter – Director of Analytics & Data Quality, Connie
• Laura Bush – Director, Product Management – PIQXL Gateway, Clinical Architecture

From Vision to Validation: The Journey to Scalable Data Quality

A year ago, NCQA shared a vision for assessing clinical data quality closer to the source. This session reviews the journey and how far that vision has come, where it is now and where it’s headed. NCQA leaders will walk through the shift from manual, point-in-time verification toward continuous, automated, standards-based validation that identifies issues earlier upstream, strengthens trust across payer, provider, HIE and vendor pipelines, and lays the foundation for a more efficient, effective, digital quality ecosystem. Attendees will also gain insight into how trusted, automated assessments of data quality will reduce reliance on traditional PSV processes and reshape the future of HEDIS data validation.

Speakers:

• Charlie Harp – CEO, Clinical Architecture
• Ben Hanley – Director of Product Management, NCQA
• Marlene McIntyre – Assistant Vice President of Digital Solutions, NCQA
• Wendy Talbot – Vice President of Measure and Data Operations, NCQA