The fastest way to search OMOP vocabularies for health economics and outcomes research. Find SNOMED, RxNorm, and ICD-10 concept codes with PHOEBE recommendations.
Search HEOR outcomes like myocardial infarction, stroke, and mortality, or study endpoints like hospitalization and HbA1c.
Health Economics and Outcomes Research (HEOR) professionals face a critical challenge: transforming raw clinical data into standardized formats that enable meaningful analysis across diverse healthcare systems. The OMOP Common Data Model, developed by OHDSI, provides the foundation for this transformation, but finding the right concept codes remains time-consuming and error-prone.
Medical data comes in countless formats: ICD-10 diagnosis codes from claims data, SNOMED CT from electronic health records, RxNorm for medications, and LOINC for laboratory results. Each vocabulary serves its purpose, but conducting cross-institutional research requires mapping these diverse codes to a common standard. This is where OMOP vocabularies shine, providing a unified framework that connects over 100 medical terminologies.
Not all concept mappings are created equal. The PHOEBE recommendation system, integrated into this lookup tool, identifies the most appropriate standard concepts for your research needs. These recommendations are based on community usage patterns, vocabulary hierarchies, and mapping quality scores, helping you avoid common pitfalls in concept selection.
This tool bridges the gap between concept discovery and implementation. Once you find the concepts you need, export them directly or use the provided code snippets to integrate with your ETL pipelines, analysis scripts, or ATLAS cohort definitions. The OMOPHub API powers this search, giving you programmatic access to the same vocabulary data for automated workflows.
OMOP vocabularies are standardized medical terminologies used in the Observational Medical Outcomes Partnership Common Data Model. They include mappings from source codes like ICD-10 and NDC to standard concepts in SNOMED, RxNorm, and LOINC, enabling consistent observational health research across institutions.
ATHENA requires downloading 10GB+ of vocabulary files and loading them into a local database. This tool gives you instant API access to the same vocabulary data — no download or database setup required.
PHOEBE analyzes concept usage patterns across the OHDSI research network to identify which standard concepts are most commonly used and validated by the community. Recommended concepts are marked with a star icon in search results.
Health Economics and Outcomes Research (HEOR) uses real-world data to evaluate healthcare interventions. This tool helps HEOR researchers quickly find the correct OMOP concept codes for building cohort definitions, pharmacovigilance studies, claims data mapping, and reproducible observational research.
OMOPHub API gives you programmatic access to the same concepts you search here - plus batch lookups, version tracking, and full relationship trees. Perfect for ETL pipelines, automated analysis, and production applications.
Python, R SDKs with full type safety and auto-completion support.
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