Quality Improvement with CQL and FHIR: Care Gaps and Near Real-Time Data Submission
summary
Demonstrates CQL run against FHIR-based measures (QI-Core / DEQM) with a browser TypeScript gaps‑in‑care service that returns DataRequirements via the $data-requirements operation, builds FHIR MeasureReport bundles and uses the submit-data operation for near‑real‑time reporting. Shows open‑source demo code (GitHub), handles complex measures (CMS122 diabetes negative‑improvement, CMS124 cervical, CMS506 opioid counts), returns DetectedIssue + guidanceResponse entries and plans a reasonDetail extension to give actionable, patient‑level explanations.
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chapters (23)
- 0:00Introduction
- 3:42Technology stack
- 6:28Data Requirements
- 7:15Wildcard Filter
- 8:24Data Requirements Query
- 10:34Submit Data Operation
- 12:13Measure Calculation
- 12:57Gaps in Care
- 14:04Improving Quality
- 14:25Care Gaps
- 15:48CMS 122
- 16:43CMS 124
- 17:40CMS 506
- 19:07Guidance Response
- 22:03Group Gaps
- 22:37Detected Issues
- 23:45Guidance Responses
- 24:03Demo
- 28:47Questions
- 29:15Next Steps
- 32:28Recap
- 34:23Speaker Information
- 35:21Question
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