Operationalize HEDIS and Quality Measures directly in your Data Warehouse
Traditional CQL engines weren't designed for modern data platforms. We're changing that.
Processes records one-at-a-time, doesn't leverage warehouse parallelism
Hard to debug, audit, or explain why a patient passed/failed a measure
Requires dedicated compute, separate from your analytics stack
Results don't easily flow into BI tools or downstream analytics
Runs natively in Snowflake, Databricks, BigQuery - leverages their scale
Human-readable SQL you can inspect, debug, and audit line-by-line
Runs where your data already lives - no new systems to manage
Results are tables - connect directly to Tableau, Power BI, or any tool
Start with your existing CQL measure definitions - HEDIS, eCQMs, or custom quality logic
Our engine translates CQL semantics into optimized, warehouse-specific SQL queries
Run directly in your warehouse, connect to BI tools, and gain instant visibility
A technical deep-dive into compiling Clinical Quality Language to native SQL for modern analytics platforms.
We are selecting 3 partners for our Q1 2026 Pilot Program. Get early access to the engine and influence the roadmap.
Be first to use the CQL-to-SQL engine on your own measures and data
Direct input on features, priorities, and roadmap direction
Weekly calls with the founder/architect throughout the 90-day sprint
As presented at Analytics on FHIR 2025