What problem does it solve?
This Skill helps quality teams identify eCQM numerator, denominator exclusion, and exception evidence that structured EHR data may miss in clinical notes, while preserving the need for validated measure computation.
Core Features & Use Cases
- eCQM Evidence Extraction: Use OpenMed to identify measure-relevant findings, interventions, statuses, and documented reasons for non-performance.
- CQL and QDM Integration: Map note-derived facts to coded QDM data elements and incorporate them into certified CQL measure workflows.
- Quality Gap Closure: Improve capture of counseling, screening decisions, symptoms, and valid exclusions that are absent from structured codes.
- Audit and Safety Guidance: Address negation, temporality, value-set membership, de-identification, provenance, and confidence tracking.
Quick Start
Use the computing-ecqms skill to extract and validate measure-relevant facts from de-identified clinical notes, map them to the applicable value sets and QDM elements, and prepare them for computation in a certified CQL engine.