Cognizant's strategic initiatives, aligned with NCQA's vision, promise a future where data accuracy, interoperability and user-centric design converge to redefine excellence in digital quality measurement for health care. With its Digital Health and Analytics Maturity Model, Cognizant is helping its customers address health care disparities and expedite the transition to value-based care.

Join this session to learn how their model provides a logical pathway for knowledge dissemination in a learning health system.

You Will Learn:

•  Five Strategies to Improve Adoption of Digital Quality
  • Get your data right: Cognizant aggregates, curates and represents claims, clinical and other data sources in accordance with industry standards, including US Core Data for Interoperability (USCDI) standards. 
  • Let’s speak the same language: Embracing Fast Healthcare Interoperability Resources (FHIR®) Clinical Quality Language ensures quality measure specifications are standardized for non-HEDIS® measures and streamlines measure development.
  • Share and care and become interoperable: Cognizants TriZetto Integration and Enablement Solution API library is advancing interoperability for over 200 million lives in the U.S.
  • Move closer to the source and reduce latency: Apply quality measurement over "data in motion," the essence of Digital Quality Measurement (dQM).  
  • Serve IT on a platter, with love! Customer love fosters user-centric design, sharing data-driven insights through state-of-the-art visual experience for minimizing burden and abrasion.