iCoDE Standard ProjectPress Release

Overview

The Integration of Continuous Glucose Monitoring Data into the Electronic Health Record (iCoDE) Project is a consortium whose purpose is to facilitate efficient uploading and integration of continuous glucose monitor (CGM) data into the Electronic Health Record (EHR). The two goals of the iCoDE project are to 1) develop technical specifications to integrate CGM data into the EHR and 2) develop workflows and guidelines to facilitate data integration efforts.

Over 130 individuals from more than 60 organizations representing industry, academia, government agencies, clinicians, and patients participated in the year-long project. The result of this work is the 2022 iCoDE Report: CGM-EHR Integration Standards and Recommendations.

This report is intended to be a comprehensive yet practical guide for any organization who would like to implement a CGM-EHR integration. It is written to be generalizable to most healthcare settings, which necessitates writing at a level that omits some details. This report is ideal for clinical champions, administrators, IT leaders, and project managers directly involved in integration efforts. It contains significant technical detail, but is not intended to be a stand-alone technical guide; local expertise and collaboration with third parties (CGM manufacturers, aggregators, integrators) will still be required. The document is organized into the following sections:

Attributions

The 2022 iCoDE Report: CGM-EHR Integration Standards and Recommendations was prepared by Prepared by:
Juan C. Espinoza, David C. Klonoff, Alaina P. Vidmar, Maurice Tut, Sarah Corathers, Randi Seigel, Andrea M. Yeung, Nicole Y. Xu, Payal Shah, Mahsa Babaei, Jingtong Huang, Kevin T. Nguyen, Julian Goldman, Shahid Shah.

Suggested citation in AMA format:
Espinoza J, Klonoff D, Vidmar A, et al. 2022 iCoDE Report: CGM-EHR Integration Standards and Recommendations. Diabetes Technology Society. https://www.diabetestechnology.org/icode/. Published November 7th, 2022. Accessed [date].

Downloads

You can download the 2022 iCoDE Report: CGM-EHR Integration Standards and Recommendations for free here.

Current version: 1.0, released November 7th, 2022
Previous version: n/a

Other Resources

Feedback, Comments, and Updates

iCoDE and iCoDE-related publications

  1. Yeung AM, Huang J, Klonoff DC, Seigel RE, Goldman JM, Shah SN, Corathers SD, Vidmar AP, Tut M, Espinoza JC. iCoDE June 22, 2022 Steering Committee Meeting Summary Report. J Diabetes Sci Technol. 2022 Aug 29:19322968221119146. doi: 10.1177/19322968221119146. Epub ahead of print. PMID: 36036511. (link)
  2. Espinoza, J. Incorporating Diabetes Technology Data into the EHR. In: Klonoff, D; Kerr, D; Weitzman E (editors). Diabetes Digital Health and Telehealth. Amsterdam, Netherlands: Springer; 2022. ISBN 9780128174852. (link)
  3. Espinoza JC, Chin SW, Shah P, Tut M and Raymond JK (2022) Proposing a Practical, Simplified Framework for Implementing Integrated Diabetes Data and Technology Solutions. Front. Clin. Diabetes Healthc. 3:867284. doi: 10.3389/fcdhc.2022.867284. (link)
  4. Xu NY, Nguyen KT, DuBord AY, Klonoff DC, Goldman JM, Shah SN, Spanakis EK, Madlock-Brown C, Sarlati S, Rafiq A, Wirth A, Kerr D, Khanna R, Weinstein S, Espinoza J. The Launch of the iCoDE Standard Project. J Diabetes Sci Technol. 2022 Jul;16(4):887-895. doi: 10.1177/19322968221093662. Epub 2022 May 9. PMID: 35533135; PMCID: PMC9264445. (link)
  5. Espinoza J, Xu NY, Nguyen KT, Klonoff DC. The Need for Data Standards and Implementation Policies to Integrate CGM Data into the Electronic Health Record. J Diabetes Sci Technol. 2021 Nov 20:19322968211058148. doi: 10.1177/19322968211058148. Epub ahead of print. PMID: 34802286. (link)
  6. Galindo RJ, Umpierrez GE, Rushakoff RJ, Basu A, Lohnes S, Nichols JH, Spanakis EK, Espinoza J, Palermo NE, Awadjie DG, Bak L, Buckingham B, Cook CB, Freckmann G, Heinemann L, Hovorka R, Mathioudakis N, Newman T, O'Neal DN, Rickert M, Sacks DB, Seley JJ, Wallia A, Shang T, Zhang JY, Han J, Klonoff DC. Continuous Glucose Monitors and Automated Insulin Dosing Systems in the Hospital Consensus Guideline. J Diabetes Sci Technol. 2020 Nov;14(6):1035-1064. doi: 10.1177/1932296820954163. Epub 2020 Sep 28. PMID: 32985262; PMCID: PMC7645140. (link)
  7. Espinoza J, Shah P, Raymond J. 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. PMID: 31904260. (link)

iCoDE News

Funding

The iCoDE project was supported by grants to the Diabetes Technology Society from the following organizations (in alphabetical order):

 

© 2022, Diabetes Technology Society. This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.