Race, ethnicity, and language data are critical to digital quality measurement, yet many organizations struggle with inconsistent usability across systems. This session shares real-world lessons from Connie, Connecticut’s statewide health information exchange, on how evaluating demographic data at the point of aggregation improved confidence in population health and equity analysis. Attendees will learn practical approaches for identifying data usability gaps, engaging contributors, and strengthening readiness for NCQA-aligned digital quality programs.