Search Trending
Retrieve trending and popular OMOP concept search queries based on platform-wide usage patterns and analytics data to surface relevant terms.
This endpoint provides insights into trending medical concepts and popular search queries, helping users discover relevant terminology based on community usage patterns and temporal trends.
Query Parameters
Comma-separated list of vocabulary IDs to filter trending searches
Example:
Example:
SNOMED,ICD10CM,LOINCComma-separated list of domain IDs to focus trending analysis
Example:
Example:
Condition,Drug,ProcedureTime period for trending analysis
Options:
Options:
1d, 7d, 30d, 90dType of trending metric to analyze
Options:
Options:
search_volume, new_concepts, rising_queries, seasonal_patternsInclude detailed trending statistics and growth metrics
Include related trending concepts and co-occurrence patterns
Number of trending items to return (max 100)
Page number for pagination (1-based)
Response
Array of trending search items with analytics data
Response metadata and pagination information
Usage Examples
Basic Trending Analysis
Get the most popular trending searches in the past week:TypeScript
Domain-Specific Trends
Find trending searches within specific medical domains:TypeScript
Rising Query Detection
Identify rapidly growing search queries:TypeScript
Vocabulary-Specific Analysis
Analyze trends within specific vocabularies:TypeScript
Seasonal Pattern Analysis
Detect seasonal trending patterns:TypeScript
Related Endpoints
- Search Concepts - Primary concept search functionality
- Search Autocomplete - Real-time search suggestions
- Search Facets - Search result faceting and filtering
- Search Suggest - Intelligent search suggestions
- Get Vocabulary Statistics - Overall vocabulary usage stats
Notes
- Trending data is updated every 4 hours with the latest search analytics
- Trend scores are normalized across all vocabularies and time periods
- Geographic data may not be available for all trending items due to privacy considerations
- Rising queries are identified using proprietary algorithms that account for baseline search volume
- Seasonal patterns require at least 90 days of historical data for accurate detection
- Some trending data may be filtered to exclude potentially sensitive health information