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HL7 Fast Healthcare Interoperability Resources® (FHIR®) is the next-generation standard for electronic healthcare data exchange, supporting improved interoperability across clinical settings. The Centers for Medicare & Medicaid Services (CMS) is exploring the transition of electronic clinical quality measures (eCQMs) to digital quality measures (dQMs) using FHIR-based standards to enable standardized, electronic data sharing.
As CMS seeks public comment on draft dQMs, you are invited you to a webinar highlighting the transition to FHIR based standards and what to expect for the dQM Public Comment Period.
When: January 21, 2026
Who Should Attend:
Health IT developer/vendor, measure developers, implementers, and others interested in the transition to FHIR quality measurement. This webinar assumes the attendees have prior knowledge of Health Level Seven International® and FHIR terminology.
Webinar Topics Will Include:
- Overview of the transition to dQMs using FHIR
- Introduction to the Measure Authoring Development Integrated Environment (MADiE)
- Comparison of dQM and eCQM artifacts
- Test case examples
- CMS and CDC Hypoglycemic Reporting
- Details on the dQM public comment period
- Date: January 21, 2026
- Time: 2pm ET
Additional Information:
- Visit the FHIR Education and dQM pages on the Electronic Clinical Quality Improvement (eCQI) Resource Center for educational materials.
- Submit FHIR-related questions to: ecqi@lantanagroup.com.
- Learn more about electronic clinical quality measure standards on the eCQI Resource Center.
The Quality Data Implementation (QDI) user group reviews standards and data models used to express quality measures. As CMS quality measurement transitions to the use of Fast Healthcare Interoperability Resources (FHIR) standards, the group has increased its focus on FHIR-based models, especially Quality Improvement (QI)-Core. To enhance implementer participation in addressing real‑world data availability, the QDI user group provides a collaborative forum for implementers, measure developers, standards experts, and other stakeholders to share insights, identify real-world challenges, and work toward alignment across quality data models.
Next Meeting Details:
- Date: Wednesday, January 21, 2026 from 3:00-4:30 PM ET
- Download the calendar invite here.
For More Information
- Please submit QDM-related questions and suggested examples to ecqi@lantanagroup.com.
- Review additional resources on the QDM Connect page.
- Submit questions related to QDM to the ONC JIRA QDM tracker.
Join the Centers for Medicare & Medicaid Services (CMS) on January 28, 2026, at 2:00 p.m. (ET) for the webinar “Strategies & Efforts for Improving Diagnostic Performance.”
Diagnostic error remains a critical patient safety challenge. This webinar will explore strategies to measure and improve diagnostic excellence, including the role of artificial intelligence (AI) and the work of the CODEX Action Incubator.
Session Objectives
By the end of this session, participants will understand:
- The epidemiology of diagnostic error as a patient safety issue
- Current efforts to measure the quality, safety, and equity of the diagnostic process
- How AI may enhance diagnostic performance
- The CODEX Action Incubator’s initiatives to develop measures for AI diagnostic applications
Presenter Organization
The University of California San Francisco Coordinating Center for Diagnostic Excellence (CODEX) is a national coordinating entity that engages the diagnostic excellence community to promote novel findings, catalyze action, and advance the field.
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Questions? Contact: MMSsupport@battelle.org
Location The Measures Management System (MMS) noreply@battelle.org America/New_York public
The 2026 CMS Quality Conference will return on March 16-18, 2026, both online and in person at the Hilton Baltimore Inner Harbor. The premier event for healthcare quality nationwide will bring together a community of healthcare leaders, clinicians, researchers, and patient advocates dedicated to improving care.
Register to attend: CMS Quality Conference 2026
Location The Measures Management System (MMS) noreply@battelle.org America/New_York public