Measurement only matters if it changes decisions at the bedside and in the community. Quality Metrics in Addiction Care turns data into daily practice by designing measures that reflect what patients value—relief from craving and withdrawal, safer functioning, and sustained recovery—not just what systems find easy to count. We translate the logic of measurement-based care into SUD settings across outpatient, inpatient, emergency, and telehealth, beginning with an inventory of outcomes (e.g., days of non-use, overdose events, retention-in-care, housing stability), processes (e.g., time-to-MOUD, timely follow-up post-discharge, naloxone distribution, vaccination), and balancing measures (e.g., access delays, inequities, documentation burden). We explore how to choose the smallest set of metrics that moves teams to action, build transparent operational definitions, and align data capture with natural clinical workflows so staff are not forced into parallel paperwork. You’ll learn to stratify by age, sex, race/ethnicity, geography, and payer to find hidden gaps; to link EHR fields, registries, pharmacy logs, and mobile prompts for complete views; and to convert measures into SPC run charts that distinguish signal from noise. We examine fairness-aware analytics—avoiding thresholds that penalize clinics serving high-acuity populations—and show how to use qualitative feedback (patient narratives, peer-recovery input) to interpret numbers humanely. Finally, we detail an improvement playbook: build dashboards that surface exceptions (missed inductions, no-shows without outreach), hardwire safety nets for overdose risk, and close loops after ED visits. With a compact, trustworthy metric set, teams can embed change huddles, reward learning over blame, and align clinicians, payers, and communities around the same outcomes. This session connects Quality Metrics in Addiction Care, discoverability via addiction care quality conference, and core practices such as measurement-based care to drive reliable, equitable results.