Translate Clinical Inquiries into Standard OMOP SQL
Turn clinical cohort criteria into standard OHDSI concept sets and executable multi-dialect SQL in seconds. Zero database connection or patient data required—run synthesized queries safely in your own local environment.
Try 8 live OMOP clinical queries immediately. Free & no registration or email required.
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Test clinical cohort queries and Athena concept mapping directly in your browser. Enter your work details below to start your trial session immediately.
Target Audiences
Built for Cross-Functional Clinical & Health Data Teams
From exploratory clinical phenotyping to enterprise-wide OMOP ETL validation and operational hospital analytics.
Epidemiologists & Biostatisticians
Stop spending hours clicking through Athena and ATLAS concept sets. OMOP SQL Agent automatically resolves ancestor/descendant hierarchies, exposure washouts, and continuous observation windows in standard CDM v5.4 logic.
Hospital Informatics & OMOP Teams
Eliminate the backlog of clinical cohort pull requests. Turn clinician inquiries into verified, dialect-optimized SQL without fighting SqlRender translation bugs or writing boilerplate joins from scratch.
Healthcare Business & Quality Analysts
Extract operational and clinical insights rapidly: evaluate care pathway adherence, readmissions, and service-line utilization without having to navigate fragmented EHR source schemas.
Core Capabilities
Built Specifically for OHDSI Cohorts
Combines clinical domain knowledge with rigorous OMOP CDM v5.4 constraints to eliminate SQL syntax and concept mapping errors.
Standard Concept Discovery
Automatic lookup and validation against SNOMED CT, RxNorm, LOINC, and CPT4 vocabularies with automatic concept ancestor hierarchy expansion—avoiding unmapped local codes.
Multi-Dialect Synthesis
Generates verified native SQL for Google BigQuery, PostgreSQL, Snowflake, SQL Server (T-SQL), Oracle, MySQL, Databricks, and DuckDB—eliminating dialect translation bugs.
Rigorous CDM Constraints
Enforces continuous observation periods, primary diagnosis flags, washout intervals, and person-level distinct cohort identification for rapid study feasibility.
Agent Output Showcase
From Clinical Intent to Validated Execution
See how natural language inquiries are transformed into validated concept hierarchies, production-ready SQL, and cohort analytics.
"Adults aged 18+ diagnosed with Type 2 Diabetes initiated on Metformin, with at least 365 days prior observation."
Type 2 diabetes mellitus
Includes 18 ancestor & descendant concepts (e.g. T2D with renal manifestation, ketoacidosis).
Metformin
Mapped via ATC A10BA02 to 24 clinical formulations and brand trade names.
Baseline Washout ≥ 365d
Continuous coverage window prior to index date to ensure incident cohort capture.
Pre-Validated Phenotypes
Samples
Select a pre-configured clinical cohort question to explore concept discovery and generated SQL queries.
Adult T2D Patients on Metformin
→"Count all adult patients by year diagnosed with Type 2 Diabetes after Jan 1, 2020 who were prescribed Metformin within 30 days."
ACE Inhibitors & Angioedema
→"Identify number of patients by age with essential hypertension who experienced angioedema within 30 days of initiating an ACE inhibitor."
HbA1c Glycemic Control
→"Count patients with at least one HbA1c measurement above 8.5% in the last 12 months, stratified by gender."
Heart Failure Inpatient Stays
→"Count heart failure patients with an inpatient hospitalization lasting more than 5 days during 2022."
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Join the OMOP Tester Program
We are onboarding researchers, clinicians, and data engineers with OMOP CDM access. Test OMOP SQL Agent with your own research questions at zero cost and with zero database connection required.