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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Open HIE

Deploy Clinical Logic Faster

A better workflow from DAK to executable logic

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

Autocomplete based on data dictionary
Rapidly code CQL with autocomplete based on your data dictonary, upload or connect a terminology server and start coding in seconds.
Export as FHIR library
Export your CQL as a FHIR library with and 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 for as you write your CQL logic. No need to capture CQL errors when deploying.