Case Study
Fhir Data Ingestion At Scale
The Situation
A large payer was receiving millions of FHIR resources from contracted providers but couldn’t ingest them meaningfully. Data quality issues were pervasive — duplicates, orphaned resources, incomplete records — and they were blocking both analytics workflows and value-based care reporting.
The consequence wasn’t just inefficiency. Every hour of delayed data access was an hour that care management, quality, and payment teams were operating on an incomplete picture. The data existed. The infrastructure to make it usable didn’t.
Built a real-time FHIR ingestion pipeline with automated dependency resolution and deduplication — capable of processing millions of resources without manual intervention or quality degradation.
Transformed raw FHIR data into a structured, analytics-ready gold model with full lineage tracking, access controls, and audit capabilities — so downstream teams could trust what they were working with.
Deployed a live data quality dashboard delivering immediate feedback to data providers — closing the loop between ingestion and source correction faster than any batch-based approach could.
Talk to an Onyx expert about building the ingestion infrastructure that turns raw data into something your teams can actually use.
