CQL Studio

See CQL Studio Website for screenshots and product information.

A integrated web application suite for developing, testing, and publication of CQL (Clinical Quality Language) and FHIR-based artifacts using classical IDE concepts and optional AI-assisted drafting, as well as full support of official CQL engine compatibility test cases, runner services, and results analysis.

Quick Start with Docker

The easiest way to run this application is using Docker:

Build and Run with Docker

# Build the Docker image
docker build -t hlseven/quality-cql-studio:latest .

# Alternatively, build images for multiple architectures if supported by your build environment
docker buildx build --platform linux/arm64,linux/amd64 -t hlseven/quality-cql-studio:latest .

# Run the container
docker run -p 4200:80 hlseven/quality-cql-studio

Once the container is running, open your browser and navigate to http://localhost:4200/.

Running from Source Code

Prerequisites

• Current stable version of Node.js
• npm (comes with Node.js)

Development Server

To start a local development server, run:

# Install dependencies
npm install

# Start the development server
npm run start

Docker Details

This application uses a multi-stage Docker build:

1. Builder Stage: Uses Node.js 24 Alpine to install dependencies and build the Angular application
2. Runtime Stage: Uses Nginx Alpine to serve the built application

The Docker setup includes:

• Dockerfile: Multi-stage build configuration
• nginx.conf: Nginx configuration for serving the Angular app
• entrypoint.sh: Runtime configuration script

Docker Environment Variables

The application supports runtime configuration through environment variables. The entrypoint.sh script processes configuration.template.js to generate the final configuration at runtime.

Available Environment Variables

• CQL_STUDIO_RUNNER_BASE_URL: Specifies the base URL for the CQL Tests Runner service. This URL is used to communicate with the runner backend for executing CQL tests and retrieving results. Defaults to http://localhost:3000.

• CQL_STUDIO_FHIR_BASE_URL: Specifies the base URL for the FHIR server. This URL is used for FHIR resource operations and data retrieval. Defaults to http://localhost:8080/fhir.

Attribution & License

Copyright © 2025+ Preston Lee. All rights reserved. Provided under the Apache 2.0 license.