Test Your FHIR Search Query Skills: Advanced Data Extraction Techniques
Test your FHIR search query skills - Darren Devitt Darren
Summary
This article introduces advanced methods for executing complex search queries using FHIR (Fast Healthcare Interoperability Resources). It presents five tasks, ranging from beginner to advanced levels, demonstrating practical data extraction skills such as utilizing `_include` and `_revinclude` parameters, composite searching, and reverse chaining.
Details
This article serves as a tutorial designed to test and teach advanced querying capabilities against standard FHIR resources. Users are guided through five specific challenges (2 beginner, 1 intermediate, 2 advanced) using tools like Postman or Vanya against the Firely test server. The technical concepts covered include: 1. **Filtering and Sorting**: Retrieving 'completed' Procedure records based on a specific SNOMED CT code (80146002), sorted by date. 2. **Data Inclusion**: Using `_include` and `_revinclude` parameters to fetch related data, such as Patient and Observation details, alongside Encounter records for a given year. 3. **Composite Search**: Filtering Patients based on multiple criteria, such as name containing specific characters AND having an address. 4. **Reverse Chaining**: Identifying Patients associated with specific immunization codes (e.g., MMR vaccine) and dates. 5. **Complex Parameterization**: Extracting Observation records that meet complex quantitative thresholds (e.g., blood pressure readings above 180/100), utilizing LOINC codes for component-specific filtering. These tasks provide a structured learning experience on performing sophisticated, single-query data retrieval in the FHIR standard.
Technology Note
FHIR（Fast Healthcare Interoperability Resources）は医療データ交換の国際標準。このエントリの関連技術: FHIR
Original content copyright by respective publishers