FHIR IQ CQL Builder aims to make clinical quality measure development accessible to everyone, from seasoned developers to clinical informaticists with no coding experience.
Healthcare quality measurement faces significant tooling challenges
Creating clinical quality measures requires specialized CQL knowledge and significant development time. Manual coding is error-prone and difficult to validate.
Clinical informaticists and quality measure experts often lack programming backgrounds, creating barriers to measure development and maintenance.
Testing CQL logic against patient data is complex. Without proper tooling, errors go undetected until measures are deployed in production.
Measure development involves multiple disconnected tools: text editors, compilers, test frameworks, and packaging utilities.
What users need to accomplish with our tool
Author syntactically correct CQL with real-time feedback and intelligent assistance
Create quality measures through intuitive drag-and-drop without writing code
Compile CQL to ELM and catch errors before deployment
Execute measures against FHIR bundles and verify expected outcomes
Search VSAC for standardized clinical code groupings and insert references
Export FHIR-compliant Library and Measure resources ready for production
Our journey from foundation to enterprise-ready platform
Monaco-based CQL editor with syntax highlighting
CQL to ELM translation service integration
Value set search and retrieval
Drag-and-drop interface for CQL creation
Resource field definitions for builder
FHIR-compliant artifact generation
CQL execution with test patient data
Synthetic patient data generation
Comprehensive user guides
LLM-powered CQL generation
Deep semantic analysis
Team-based measure development
Measure lifecycle management
Where we're heading
Describe measures in plain English and let AI generate the CQL
Understand measure performance and optimize for accuracy
Collaborate in real-time and deploy to any FHIR server