NCQA Expands Data Aggregator Validation Program
QMetrics has launched the 11th cohort for the National Committee for Quality Assurance’s (NCQA) Data Aggregator Validation program. The program's expansion highlights the growing need for validated, accurate data exchange between providers, payers, and analytics vendors. Participation can reduce administrative burden and improve quality reporting for health systems.
- The primary goal of the Data Aggregator Validation program is to ensure data integrity for quality reporting, specifically for the Healthcare Effectiveness Data and Information Set (HEDIS). Before this program, health plans had to manually verify data by going back to the original source, a time-consuming process that increased the administrative burden on providers. - QMetrics has been NCQA's validation partner since the program's inception in 2019, helping to develop the original protocols and standards for auditing. The validation process is rigorous, involving an end-to-end evaluation of how organizations ingest, transform, and manage clinical data streams. - Participation directly impacts quality measure reporting, which is a core function for informatics nurses. Validated data can be used as standard supplemental data for HEDIS reporting without the need for additional primary source verification, saving significant time for both health plans and provider organizations. - The program supports interoperability by validating data from various sources, including those using different EHRs like Epic. For health systems, this means data from validated aggregators, including health information exchanges (HIEs), can be trusted for accuracy in quality programs and value-based care initiatives. - This initiative aligns with federal regulations like the 21st Century Cures Act, which mandates improved interoperability and prohibits information blocking. By standardizing data exchange through frameworks like HL7 FHIR, the program helps meet ONC requirements for secure and seamless data access. - For an ICU nurse moving into informatics, understanding these data quality initiatives is crucial because poor data quality can lead to misdiagnoses, medication errors, and fragmented care—all significant patient safety risks. Informatics roles often involve optimizing clinical workflows and EHR documentation to ensure the data captured at the bedside is accurate and reliable for downstream uses like quality reporting. - Since its launch, the program has conducted over 100 validations across 44 organizations in 21 states, with QMetrics validating over 56,000 data sources. This scale indicates a widespread industry move towards standardizing data quality, a key trend for aspiring health IT professionals to follow.
