A1C has long been the standard for diabetes management due to its ease of use and FDA endorsement. However, its limitations—such as poor reflection of glucose variability—highlight the need for more comprehensive metrics. With the growing adoption of Continuous Glucose Monitoring (CGM), there's an opportunity to enhance diabetes care and quality measurement.

This session is divided into three parts:

• Limitations of A1C & Introduction to CGM
  • This section will provide an overview of A1C’s shortcomings and the factors that can affect its accuracy. It will also introduce CGM devices, key metrics, and the Ambulatory Glucose Profile Report, which organizes CGM data in a clinically useful format.

• CGM as a Complement to A1C
  • We’ll explore CGM metrics such as the Glucose Management Indicator (GMI), CGM-derived average glucose, and time in/out of range. The session will also discuss how NCQA is incorporating GMI into national quality programs and consider the development of CGM process measures for high-risk populations.

• Integrating CGM into EHRs
  • This final section will share insights from the International Diabetes Center’s collaboration with HealthPartners Epic EHR to integrate CGM data. It will include findings from a Helmsley Charitable Trust-funded project that links CGM metrics to lab A1C for population health tracking.