Write and collaborate on CQL

Clinical logic coders use Spark every day for its powerful syntax highlighting, instant error detection, and collaboration features for teams to write CQL.

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Deploy Clinical Logic Faster

A better workflow from DAK to executable clinical logic

Code clinical logic in CQL faster with Spark editor, convert logic in Digital Adaptation Kits (DAK) to executable CQL and deploy your first FHIR library within minutes.

Autocomplete based on data dictionary
Rapidly code CQL with autocomplete based on your data dictionary, upload or connect a terminology server and start coding in seconds.
Export as FHIR library
Export your CQL as a FHIR library with an API endpoint, making your clinical logic readily available for a CQL engine or a FHIR server.
Real-time error checking.
Spark editor provides real-time syntax highlighting and error checking as you write your CQL logic. No need to capture CQL errors when deploying.

Visualize Your Clinical Logic

Visualize your logic
Visualize CQL logic whether it's a basic logic or advanced, as a visual graph. Making it easier to read and understand even without understanding CQL language. Ideal for clinicians and guideline creators.