Overview
The Recommended Concepts endpoint implements the OHDSI Phoebe algorithm to provide curated concept recommendations. This feature helps researchers discover related concepts during cohort building and phenotype development. Key Features:- Curated recommendations from OHDSI community data
- Relationship-based concept discovery
- Support for multiple source concepts
- Filtering by vocabulary, domain, and relationship type
- Cohort building assistance
- Phenotype expansion
- Related concept discovery
- Clinical terminology exploration
Request Body
Array of source concept IDs to get recommendations for (min: 1, max: 100)
Filter recommendations by relationship types (max: 20). Examples: “Has finding”, “Associated finding”, “Has clinical course”
Filter recommended concepts to specific vocabularies (max: 50). Examples: [“SNOMED”, “ICD10CM”, “LOINC”]
Filter recommended concepts to specific domains (max: 50). Examples: [“Condition”, “Procedure”, “Drug”]
Only return standard concepts (S flag in OMOP CDM)
Include invalid/deprecated concepts in results
Page number for pagination (min: 1)
Number of recommendations to return per page (min: 1, max: 1000)
Implementation Notes
Data Source
- Data is curated by the OHDSI community using the Phoebe algorithm
- Version-independent: recommendations persist across vocabulary releases
Response Structure
- Results are grouped by source concept ID
- Each source concept ID maps to an array of recommended concepts
- Recommendations include full concept details and relationship information
Filtering
- Apply multiple filters simultaneously (vocabulary, domain, relationship type)
standard_only=true(default) filters to standard concepts onlyinclude_invalid=false(default) excludes deprecated concepts
Related Endpoints
- Search Concepts - Full-text concept search
- Get Concept Relationships - Direct relationships
- Get Concept Hierarchy - Hierarchical relationships
- Batch Concepts - Retrieve multiple concepts