Drives proactive quality measures that improve patient care, optimize operational efficiency, and boost profitability.
Modernizing the quality measures process is key to achieving value-based care outcomes while controlling costs. CleanVues enables this transformation with its dQM (digital Quality Measures) solution—powered by a FHIR-native Health Data Platform and CQL (Clinical Quality Language) engine.
High-quality care that can be scaled across populations relies on strong partnerships between payers and providers, as well as seamless integration of their technologies. CleanVues dQM is an enterprise-level, scalable solution that runs proactive quality improvement analytics while streamlining internal processes to reduce costs, operational burden, and delays.
For both payers and providers, Cleanvue dQM transforms the traditionally time-consuming process of manually generating and submitting quality measures—often taking weeks—into just minutes, using open standards like FHIR and CQL.
Our dQM solution is powered by our FHIR and CQL engine to standardize and modernize quality measure calculations, reporting, and submission, so payers and providers can enhance care and increase profits.
License NCQA Digital Content Services HEDIS Measures and CMS QPP MIPS measures, and also supportstate, regional, and custom measures all with one dQM evaluation tool. This single plug-and-play tool provides maximum flexibility to evaluate measures across diverse populations.
Our CQL engine analyzes data and evaluates quality measures automatically, with the click of a button. This automation reduces effort and errors, and frees up your resources to focus on enhancing patient care.
Our high performance engine implements quality improvement at scale, with results for 1 million patients with 250,000,000 FHIR resources in <1 hour with 100ms latency per patient per quality measure.
Being the experts in CQL, Cleanvue can author non-HEDIS custom quality measures to synthesize clinical knowledge and support new business initiatives including risk adjustments and predictive analytics.
Continuous measure evaluation turns retrospective care delivery into prospective care management, supporting earlier care intervention and better population health management.
Transition from retrospective care evaluation to proactive care management with continuous measure evaluation
Using FHIR open standards, and CQL for knowledge authoring, allows you to configure and scale measures for diverse populations and care settings.