Research Preview • Zero-Footprint OMOP Synthesizer

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.

Zero Database Access Needed 100% PHI-Free (No Patient Data) Native BigQuery, Postgres, Snowflake & Databricks

Instant Community Trial

Free interactive testing • No password required

Test clinical cohort queries and Athena concept mapping directly in your browser. Enter your work details below to start your trial session immediately.

Includes 40 queries / day Zero patient data retention

Target Audiences

Built for Cross-Functional Clinical & Health Data Teams

From exploratory clinical phenotyping to enterprise-wide OMOP ETL validation and operational hospital analytics.

Research & Phenotyping

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.

✓ Athena ancestor concept hierarchy mapping
✓ Continuous observation & washout joins
✓ OHDSI ATLAS & HADES reproducibility
ETL & Data Stewardship

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.

✓ EHR source-to-standard mapping verification
✓ Instant feasibility counts & query triage
✓ Achilles & DQD table structure concordance
Operations & Care Pathways

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.

✓ Care pathway adherence & guideline audits
✓ 30-day readmissions & length-of-stay (LOS)
✓ Inpatient & ambulatory service-line metrics

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.

OMOP SQL Agent Clinical Studio
Clinical Inquiry

"Adults aged 18+ diagnosed with Type 2 Diabetes initiated on Metformin, with at least 365 days prior observation."

Standard Concept Discovery (Athena Vocabularies) 3 Domains Identified
Condition SNOMED CT
Type 2 diabetes mellitus
Concept ID: 201826

Includes 18 ancestor & descendant concepts (e.g. T2D with renal manifestation, ketoacidosis).

Drug Ingredient RxNorm
Metformin
Concept ID: 1503297

Mapped via ATC A10BA02 to 24 clinical formulations and brand trade names.

Temporal Logic Observation Period
Baseline Washout ≥ 365d
Condition: observation_period

Continuous coverage window prior to index date to ensure incident cohort capture.

Request Access

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.