For health plans, the shift to digital HEDIS® represents a strategic opportunity to move beyond slow, manual, retrospective reporting toward measurement that is standardized, repeatable and drives better patient outcomes. What’s missing is a clear, end-to-end playbook that outlines where to start and how to implement digital measurement successfully.

This session features real-world insights from the Cigna Group, an early digital measurement adopter, collaborating with Wakely and Smile Digital Health to operationalize digital measurement at scale. 
The speakers will discuss their multi-year digital transformation, including their shift from a proof-of-concept with a small sample of members and limited measures to expanding coverage to sixteen million members and the full set of applicable HEDIS measures. They will also cover the execution of digital measure runs using data from Measurement Years 2024 and 2025. Additionally, they will compare traditional and digital outputs to identify common discrepancies and the solutions that improved reliability. Finally, they will highlight the development of governance and evidence practices that support repeatable runs and audit-ready documentation.

Healthcare leaders, data and analytics teams, and measurement operations professionals are encouraged to attend and learn how the collaboration evolved from concept to large-scale implementation, including the key factors needed to maintain progress amid increasing complexity.
 

Learning Objectives:

• Start with clear guidance on  what “good” looks like in the first six months, year one and year two.
• Establish the data and measure logic capabilities needed to move from retrospective reporting to automated digital quality measurement.
• Validate and explain results through side-by-side comparisons of traditional and digital outputs using real examples from Cigna’s ingestion of sixteen million member records.
• Track progress with a practical set of internal measures so you can confirm momentum and reduce late-cycle surprises.
• Scale responsibly with governance and evidence practices that support repeatable runs and a clear path to a fully digital model.