Build Confidence in Your Clinical Data

Help validate a smarter, scalable way to trust clinical data.

As health care moves toward fully digital quality measurement, the need for accurate, complete and trustworthy clinical data has never been more critical. That’s why NCQA is investing in a new data quality offering—an automated solution designed for continuous quality assessment of data sources for reliable digital measurement.

By enabling an automated, real-time approach to data quality, NCQA’s data quality solution aims to reduce the manual burden of primary source verification and improve confidence in data used for quality programs, including HEDIS health plan reporting.

How It Works

The NCQA Data Quality Offering includes:

• Standardized data quality content (rules for conformance, completeness, consistency, plausibility).
• A system to monitor ongoing data quality and inform audit and reporting workflows.
• The potential for reduced verification of sources that meet NCQA-defined performance thresholds.

Why It Matters

• Trusted data leads to better, more reliable measurement.
• Automated assessments reduce manual audit burden for health plans and vendors.
• Helps align with CMS goals for adoption of FHIR^®, digital quality measures and API-based data exchange.
• Supports broader use cases beyond HEDIS: star ratings, risk-based contracts and more.

Join Us on the Path to Better Data Quality

Later this year, NCQA will work with early partners to pilot and validate this new approach. If your organization wants to reduce manual data validation—and shape the future of digital quality—connect with us!