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Our newest reporting method helps clinical data create insight for managing the health of individuals and groups.

As health care shifts toward dQM, success depends on accurate data that can be trusted. In this session, we’ll unpack how to map and transform data into FHIR, helping ensure quality and consistency before data ever reaches calculation.

Parallel testing is a required step to validate accuracy during NCQA’s transition to digital HEDIS reporting. Learn how the process of parallel testing works and explore answers to the most commonly asked questions.

Smile and NCQA share insights on executing digital HEDIS® measures and the value they can bring to productivity and reimbursement.

As the shift toward value-based care accelerates, the consequences of poor data quality become more severe. Star ratings, HEDIS scores and risk adjustment accuracy all depend on reliable clinical data. More importantly, accurate data enable better clinical decisions, reduce duplicate testing and help get patients into care programs faster.

The shift to digital-first quality measurement is underway. To stay in compliance and competitive, organizations must start preparing now. This blog offers a practical starting point for organizations ready to move beyond the basics and build a scalable, future-ready digital quality strategy.

Discover how NCQA’s Digital Content Services empowers healthcare organizations to streamline quality reporting and improve patient outcomes.

Oracle Health and NCQA discuss harnessing clinical data to support more accurate and insightful Data Quality Measurement (dQM).