Preparing for Digital HEDIS®? Learn How One Health System Integrated CGM Data at Scale
- Tuesday, November 10, 2026
- 1:00 PM (ET)
As digital quality measurement evolves, health systems need reliable access to continuous glucose monitoring (CGM) data without adding documentation burden for clinicians. NCQA has finalized the new Continuous Glucose Monitoring Utilization for Patients with Diabetes (CGD-E) measure for measurement year 2027 and the Glycemic Status Assessment for Patients With Diabetes (GSD) measure accepts the Glucose Management Indicator (GMI) from CGM data alongside HbA1c. NCQA is also phasing out manual chart review in favor of electronic clinical data. Together, these changes mean CGM metrics increasingly need to live in structured, extractable electronic health record (EHR) fields.
In this webinar, Tidepool and Cincinnati Children’s Hospital Medical Center (CCHMC) will share a real-world case study of transitioning from manual CGM metrics documentation to an order driven integration that brings standardized CGM metrics directly into discrete EHR fields. CCHMC’s implementation uses HL7 v2 messaging transmitted through the Redox interoperability platform. Tidepool also supports FHIR-based messaging, so health systems can choose the approach that fits their infrastructure.
What You’ll Learn
- What CGD-E and GSD require from CGM data, and how structured EHR data supports both
- How to replace manual workflows with integration based workflows to stop the manual transcription of CGM metrics
- Practical considerations for integrating CGM metrics into the EHR.
- Architectural and governance decisions involved in operationalizing device data infrastructure.
- Key tradeoffs between HL7 v2 and FHIR interoperability approaches.
Why Attend
If your organization is preparing for digital quality reporting, this session will provide practical insight into integrating CGM metrics into discrete EHR fields. You’ll leave with lessons from a production implementation and a clear view of the decisions that help make CGM data usable for quality measures like CGD-E and GSD.
Who Should Attend
- Quality improvement and measurement professionals
- Digital HEDIS and reporting teams
- Health plan quality teams working with provider clinical data
- Clinical informatics and health IT leaders
- Interoperability and data architecture professionals
- Diabetes care and population health teams
- Health systems working to integrate device-generated data
Prepare Your CGM Data for Digital Quality Reporting
Register to learn how CGM metrics integration can reduce manual documentation, strengthen reporting readiness and support evolving digital HEDIS requirements.
Rea Rostosky
Rea Rostosky
Rea Rostosky is a Product Manager at Tidepool, a nonprofit organization developing open-source software to advance diabetes care. She leads cross-functional product initiatives for Tidepool+, an enterprise platform that integrates CGM, insulin pump, and blood glucose data into clinical workflows and electronic health records. Rea collaborates with health systems to deliver solutions that improve clinical efficiency, support quality performance, and expand clinical capacity. Her work spans upstream strategy and downstream execution, ensuring that data infrastructure aligns with real-world clinical needs. She bridges clinical practice and health IT to support sustainable innovation in diabetes care delivery.
Michelle I. Knopp, MD, FACP
Michelle I. Knopp, MD, FACP
Michelle I. Knopp is an Assistant Professor in the University of Cincinnati Department of Pediatrics, Division of Biomedical Informatics, Hospital Medicine and Anderson Center. She is a physician at Cincinnati Children’s Hospital. Board-certified in Internal Medicine and Clinical Informatics, Dr. Knopp brings a unique blend of clinical expertise and data-driven innovation to healthcare transformation. She plays a key role on an interdisciplinary team integrating diabetes device data from multiple vendors into clinical workflows. Her research focuses on technology for chronic disease management, optimizing healthcare delivery, and enhancing data use across the healthcare ecosystem. Her work bridges clinical care and health IT, advancing practical, patient-centered solutions through collaborative innovation.
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