The Semantic Intelligence Layer
for Healthcare

Turn clinical logic into enterprise intelligence. Operationalize quality measures directly in your data warehouse.

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AI-powered tools and services to accelerate healthcare data intelligence

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CQL-to-SQL Engine

Compile Clinical Quality Language to native SQL. Run quality measures in Snowflake, Databricks, or BigQuery.

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Data Quality Audits

Eliminate gray water data before it hits your analytics layer. Automated FHIR conformance and completeness checks.

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Advisory & Architecture

Enterprise enablement from FHIR experts. Strategic planning, architecture reviews, and implementation support.

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From CQL to SQL in Seconds

Traditional Java-based CQL engines are slow, opaque, and require separate infrastructure. Our approach compiles CQL directly to optimized SQL that runs natively in your data warehouse.

Transparent, auditable SQL output
Native warehouse performance (Snowflake, Databricks, BigQuery)
Direct BI tool integration
SQL on FHIR ViewDefinition compatible

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CQL → SQL

// Input: CQL
define "Breast Cancer Screening":
exists [Observation: "Mammography"]
where effective during "Measurement Period"

-- Output: SQL
SELECT patient_id,
CASE WHEN COUNT(*) > 0
THEN true ELSE false END
FROM fhir.observation
WHERE code IN ('24606-6', ...)
AND effective_date BETWEEN ...