Integration of Continuous Glucose Monitoring Data Into the Electronic Health Record

Juan C. Espinoza

doi:10.1016/B978-0-443-13244-5.00024-9

Integration of Continuous Glucose Monitoring Data Into the Electronic Health Record

Juan C. Espinoza^*

^*Corresponding author for this work

Pediatrics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

3 Scopus citations

Abstract

Continuous glucose monitors (CGMs) are an important technology for improving glycemic outcomes in diabetes. However, in most care settings, CGM data are siloed in manufacturer-specific data platforms and are not integrated with the electronic health record (EHR). In 2021, the Diabetes Technology Society organized the Integration of Continuous Glucose Monitoring Data into the EHR (iCoDE) Project, which brought together industry, academia, healthcare, and government agencies to develop the first set of CGM–EHR integration standards and recommendations. The resulting 2022 report laid out a comprehensive and practical approach for data integration. New policies, technologies, and funding mechanisms will need to be put in place to ensure broad access and implementation of CGM–EHR integrations. Artificial intelligence applications will likely require the use of more advanced and flexible data platforms.

Original language	English (US)
Title of host publication	Diabetes Digital Health, Telehealth, and Artificial Intelligence
Publisher	Elsevier
Pages	185-196
Number of pages	12
ISBN (Electronic)	9780443132445
ISBN (Print)	9780443132438
DOIs	https://doi.org/10.1016/B978-0-443-13244-5.00024-9
State	Published - Jan 1 2024

Keywords

Continuous glucose monitoring
EHR integration
Healthcare organizations
Interoperability
Population health

ASJC Scopus subject areas

General Medicine

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/B978-0-443-13244-5.00024-9

Cite this

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abstract = "Continuous glucose monitors (CGMs) are an important technology for improving glycemic outcomes in diabetes. However, in most care settings, CGM data are siloed in manufacturer-specific data platforms and are not integrated with the electronic health record (EHR). In 2021, the Diabetes Technology Society organized the Integration of Continuous Glucose Monitoring Data into the EHR (iCoDE) Project, which brought together industry, academia, healthcare, and government agencies to develop the first set of CGM–EHR integration standards and recommendations. The resulting 2022 report laid out a comprehensive and practical approach for data integration. New policies, technologies, and funding mechanisms will need to be put in place to ensure broad access and implementation of CGM–EHR integrations. Artificial intelligence applications will likely require the use of more advanced and flexible data platforms.",

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AB - Continuous glucose monitors (CGMs) are an important technology for improving glycemic outcomes in diabetes. However, in most care settings, CGM data are siloed in manufacturer-specific data platforms and are not integrated with the electronic health record (EHR). In 2021, the Diabetes Technology Society organized the Integration of Continuous Glucose Monitoring Data into the EHR (iCoDE) Project, which brought together industry, academia, healthcare, and government agencies to develop the first set of CGM–EHR integration standards and recommendations. The resulting 2022 report laid out a comprehensive and practical approach for data integration. New policies, technologies, and funding mechanisms will need to be put in place to ensure broad access and implementation of CGM–EHR integrations. Artificial intelligence applications will likely require the use of more advanced and flexible data platforms.

KW - Continuous glucose monitoring

KW - EHR integration

KW - Healthcare organizations

KW - Interoperability

KW - Population health

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PB - Elsevier

ER -

Integration of Continuous Glucose Monitoring Data Into the Electronic Health Record

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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