Save time and money

No manual translation or development means fewer resources and less time spent on measures and CDS implementation

Improve performance

Implementation-ready standard and custom measures, CDS and pathways make it easier to assess compliance with best practices and provide feedback within workflow

Reduce variability

Off-the-shelf and easily shareable CQL measures and CDS eliminate duplicative implementations, varied interpretations and disagreement between systems

Build apps that use CQL to drive performance

Rapidly build and deploy complete applications that utilize the power of both modern cloud technology and CQL

What is CQL?

CQL is an expression language that brings together the worlds of electronic clinical quality measures (eCQMs) and CDS with one industry standard language. It’s friendly enough for humans to communicate with, yet precise enough for machines to interpret.

Apervita is the only enterprise-scale, integrated healthcare platform for you to author, import, test, execute, and share CQL with CQLaaS.

Why does my organization need CQLaaS?

Regulatory compliance: Providers and payers

CQL is the new preferred industry standard by the Centers for Medicare and Medicaid Services (CMS) for 2019 electronic clinical quality measure submissions for all eligible hospitals and providers; The NCQA is implementing HEDIS measures for health plans in CQL, releasing their first digital measure packages as part of their 2019 Volume 2

Industry-wide adoption

CQL is being adopted and endorsed by some of the leading healthcare governing bodies in the world, including the Office of the National Coordinator for Health Information Technology, the Centers for Disease Control and Prevention, the National Committee for Quality Assurance and Health Level Seven International (HL7)

Reduced clinical variation

Apply measures and care pathways, allowing for the assessment of compliance to best practices and addressing unwarranted clinical variation at the point of care within your EHR

Easy and accurate benchmarking

Reduce variability in the interpretation and execution of measures by eliminating manual translation and custom implementation

Freedom to move between systems

Remove friction and barriers between organizations working on performance measurement and improvement, unlocking from custom implementations in local environments

CQLaaS enables advanced features integrated into the Apervita platform

  • Implement CQL-based measures and CDS in a scale production computing platform with integration to local workflow systems
  • Connect CQL with advanced analytics tools including machine learning, AI and business intelligence
  • Automatically inspect and enrich CQL results with explain and sensitivity capabilities, intermediate results and supporting data
  • Import CQL from industry sources (e.g., CMS) and execute on local patient data within seconds in your EHR of choice
  • Inspect, edit, maintain, import and build from scratch CQL assets with unit test and E2E development and testing capabilities
  • Create advanced computation and applications using seamless interaction between CQL-based measures and CDS and algorithms in other languages (e.g., Python calling CQL functions)

Unmatched clinical informatics expertise

Apervita doesn’t only offer CQLaaS, it offers access to leading clinical informaticists whose research helped inform the need for and development of CQL. Our team includes Chief Informatics and Innovation Officer Blackford Middleton, M.D. Dr. Middleton was the principal investigator of the Agency for Healthcare Research and Quality-funded CDS Consortium project, a $6.5 million effort that over five years demonstrated the potential for cloud-based CDS. This project and others helped spawn the Health-e-Decisions project chartered by the Office of the National Coordinator for Health IT, which lead to the development of CQL. Dr. Middleton is a member of the HL7 Advisory Council. HL7 is the home of the CQL standard and has sponsored multiple CQL-related projects and working groups.


Our VP of Clinical Informatics Matthew Burton, M.D., conducted extensive work at Mayo Clinic including clinical pathways, knowledge-enriched data and enterprise knowledge management that provided critical use cases for the evolution of CQL. He presented these use cases in forums such as the Health Services Platform Consortium (HSPC) and served a key role in the Consortium’s platform and knowledge architecture efforts in close collaboration with the CQL Principals. Throughout his time at Apervita and on faculty at Mayo Clinic, he has worked closely with the CQL Principals on standards and architectures for knowledge-driven systems.  Dr. Burton has been a member of the HL7 CDS Working Group that sponsors CQL specifications and was a member of the CDS Consortium (Regenstrief Institute) that initiated the development of CQL (ELM) and other standards for the representation of knowledge assets.