Clinical and operational data lived in dozens of disconnected sources: EHRs, billing systems, lab platforms, and manual spreadsheets. Leadership had no unified view of patient populations and couldn't support any analytics or AI initiatives until the data problem was solved.
Built a centralized cloud data platform on GCP with automated ingestion from all major source systems. Established a governed data lake with standardized schemas, access controls scoped to PHI sensitivity levels, and a transformation layer that produced clean, queryable datasets for downstream consumers.
Single source of truth across clinical, financial, and operational data. Reduced reporting turnaround from weeks to hours and created the foundational layer that later supported predictive readmission models.
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