In today’s healthcare data landscape, FHIR has become the standard for structured clinical data exchange. However, while FHIR excels at interoperability, its JSON format makes analytics challenging—including FHIR QuestionnaireResponse.
This project demonstrates how to transform FHIR QuestionnaireResponse data from nested JSON into relational SQL tables and vector embeddings. By integrating the InterSystems IRIS FHIR SQL Builder and Vector Search, we unlock the semantic meaning behind patient answers.
Three Steps to Build It
1. Design and Collect the Questionnaire
Start by designing a FHIR