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OMOPHub by OMOPHub

REST API access to 11M+ OMOP, FHIR, and healthcare vocabularies—search, map, and resolve medical concepts without database infrastructure.

Software by OMOPHub
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Overview

OMOPHub is a managed terminology API platform that provides programmatic access to standardized medical vocabularies for OMOP, FHIR, and healthcare AI applications. It exposes over 11 million concepts drawn from OHDSI ATHENA standardized vocabularies through a single REST API, eliminating the need for teams to download multi-gigabyte vocabulary files or maintain a local PostgreSQL database. The platform is used by researchers and developers at institutions including Mayo Clinic, UCSF, Harvard University, Cleveland Clinic, Duke University, Columbia University, and ETH Zurich, among others.

Traditionally, working with OMOP vocabularies requires downloading large ATHENA files and setting up and maintaining a local database instance. OMOPHub replaces this workflow with a hosted, always-current API service, allowing developers to search concepts, build mappings, and automate ETL pipelines without any infrastructure setup. It is designed for use cases including ETL development, concept set building, phenotype definitions, AI and LLM integration, and any workflow requiring vocabulary access without local infrastructure overhead.

Supported Vocabularies

  • Provides access to 120+ medical vocabularies synced with official OHDSI ATHENA releases
  • Includes SNOMED CT, ICD-10-CM, ICD-10-PCS, LOINC, RxNorm, HCPCS, NDC, Read Codes, MeSH, ICD-9-CM, and more
  • Cross-vocabulary concept mappings are supported, enabling mapping between coding systems (e.g., ICD-10-CM to SNOMED CT)
  • Licensed vocabularies such as CPT and MedDRA are not available due to licensing restrictions
  • Vocabulary versions are managed automatically; users can query available versions and retrieve version details programmatically

Core API Capabilities

  • Concept search across multiple vocabularies simultaneously with advanced filtering options
  • Concept retrieval by ID or by source code, with optional inclusion of concept relationships
  • Concept mapping between vocabularies, supporting standard "Maps to" relationship resolution
  • FHIR code resolution to identify the appropriate OMOP domain and standard concept for a given FHIR code (e.g., resolving a LOINC observation code to an OMOP measurement concept)
  • Typical API response times under 50ms, supported by intelligent caching, optimized database indexes, and global edge distribution
  • Batch processing capabilities for large-scale ETL workloads, with a stated processing speed of 11M+ concepts per hour

SDKs and Developer Experience

  • Production-ready SDKs available for Python, R, and TypeScript
  • SDKs are type-safe and include auto-completion support
  • No local database instance is required to use the SDKs or API
  • Getting started requires signing up for an account, generating an API key, and installing the relevant SDK
  • A free plan is available with 3,000 API calls per month and full API access; paid plans are available for higher usage

MCP (Model Context Protocol) Integration

  • OMOPHub exposes MCP tools enabling AI agents (such as those built on ChatGPT, Claude, Cursor, Codex, or Grok) to search, map, and resolve medical vocabularies conversationally
  • MCP tools include search_concepts, get_concept, get_concept_by_code, map_concept, and fhir_resolve
  • Supports AI/ML model development workflows requiring structured medical terminology access

Supported Workflows

  • ETL Pipeline Integration: Automated concept mapping across vocabularies, real-time validation and error detection, scalable batch processing, and audit trails for regulatory compliance
  • Clinical Research and Analytics: Concept set building and phenotype definition without requiring access to a CDM database
  • EHR System Enhancement: Vocabulary lookup and mapping integrated directly into EHR workflows via API
  • AI/ML Model Development: Structured terminology access for training and inference pipelines
  • Enterprise Data Platforms: Centralized vocabulary management for large-scale healthcare data operations

Compliance and Security

  • Designed to meet HIPAA and GDPR requirements for handling healthcare data
  • End-to-end encryption applied across all API communications
  • Immutable audit trails maintained for every API call, with a 7-year retention period
  • Healthcare-grade security standards applied throughout the infrastructure

OMOPHub is an independent service and is not affiliated with OHDSI or ATHENA. It functions as a managed layer on top of OHDSI ATHENA vocabulary releases, handling updates, versioning, and infrastructure so that development teams can focus on building applications and data pipelines.

Meta

Software types
Integration / Middleware
Deployment types
Cloud / SaaS
Industry verticals
PharmaBiotechAcademic / ResearchDiagnostics / IVDCRO
Development stages
Research & DiscoveryClinicalPost-Market & RWE
Target users
Bioinformatician / Computational ScientistIT / Systems Admin / Data EngineerResearch Scientist
Compliance standards
HIPAAGDPR
Tags
Uses AI