As health care organizations increasingly rely on clinical data for HEDIS and other quality measurement programs, the stakes for data reliability have never been higher. This session explores how NCQA is advancing the future of data quality—moving beyond traditional audit and validation methods to embrace automated data quality assessments that build trust in clinical data sources.

Join NCQA leaders and industry experts as they discuss:

• The critical role of data quality in HEDIS calculations and quality ratings.
• Challenges with current validation approaches, including resource-intensive audits and limited insights from manual processes.
• NCQA’s new framework for automated data quality assessments, designed to determine “fit for use” and provide actionable feedback for improvement.
• How pilot programs and partnerships are shaping the next generation of data validation, with the potential to streamline audits and reduce manual verification for high-performing data sources.
• Practical strategies for payers, providers, and vendors to collaborate on improving data quality at the source.

Attendees will leave with a clear understanding of NCQA’s evolving standards, the benefits of continuous data quality monitoring, and how these innovations can drive efficiency, trust, and better outcomes in quality measurement programs.