Integrating Continuous Glucose Monitor Data Directly into the Electronic Health Record: Proof of Concept

Diabetes Technol Ther. 2020 Aug;22(8):570-576. doi: 10.1089/dia.2019.0377. Epub 2020 Jul 10.


Background: Continuous glucose monitoring (CGM) systems are widely and increasingly used in diabetes self-management and in the context of clinic visits. However, access to CGM data during visits can be challenging. Clinic inefficiencies can restrict the time available for patient education, and the inability to integrate CGM data into electronic health record (EHR) systems can result in data being lost. In this study, we describe our institution's approach to integrating CGM data directly into the EHR through a partnership with a CGM device manufacturer and without a third-party data aggregation/data visualization platform. Methods: We interviewed key stakeholders with the hospital Information Technology Department, the Division of Pediatric Endocrinology, and a CGM device manufacturer. A collaborative, human-centered design approach was used to define the workflow. Health Level 7 (HL7) standards were used to build all data exchanges. Results: In collaboration with all parties, we created a simple network architecture design for both account linkage and data acquisition. The system uses the standard, computerized, physician order entry interface available in the EHR for both processes. Data acquisition occurs in real time, and customized reports are displayed within the results section of the EHR. The entire process is Health Insurance Portability and Accountability Act (HIPAA) compliant and meets all security requirements. Conclusions: Building scalable data integration using HL7 standards is possible and allows real-time access to CGM data within the diabetes provider's existing workflow and can occur with or without the patient present. This may lead to improved clinical outcomes, increased efficiency, and new revenue opportunities by documenting CGM data capture and review.

Keywords: Continuous glucose monitoring; Data management; EHR workflow; Electronic health record.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Blood Glucose / analysis*
  • Blood Glucose Self-Monitoring*
  • Diabetes Mellitus* / diagnosis
  • Electronic Health Records*
  • Humans
  • Workflow


  • Blood Glucose