Achieving Zero Harm by preventing healthcare-associated infections (HAIs) is a priority for UC Health. The Standardized Infection Ratio (SIR) is the primary measure used by NHSN to risk-adjust HAIs, but access to protected health information (PHI) is restricted, limiting broad data accessibility. Additionally, no dynamic SIR data source existed in the Scuba Data Warehouse for enterprise reporting. To address this, we developed an automated tool, eliminating manual NHSN exports and processing. Using SQL and SAS, the predicted infections are calculated daily based on logistic or negative binomial regression models, then integrated into Scuba for enterprise-wide reporting. This solution saves 40 hours of manual effort monthly, improves access to timely SIR data, and supports key quality dashboards. Our organization is the first to accomplish this in the UC Health system. Next steps include applying this data source to additional dashboards and leveraging it for future AI-driven analytics.