Montero AR, Dubin JS, Sack P, Magee MF. Future technology-enabled care for diabetes and hyperglycemia in the hospital setting. World J Diabetes 2019; 10(9): 473-480 [PMID: 31558981 DOI: 10.4239/wjd.v10.i9.473]
Corresponding Author of This Article
Alex Renato Montero, MD, Assistant Professor, MedStar Diabetes Institute, 100 Irving Street NW (Suite 4114), Washington, DC 20010, United States. arm243@georgetown.edu
Research Domain of This Article
Endocrinology & Metabolism
Article-Type of This Article
Editorial
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Diabetes. Sep 15, 2019; 10(9): 473-480 Published online Sep 15, 2019. doi: 10.4239/wjd.v10.i9.473
Future technology-enabled care for diabetes and hyperglycemia in the hospital setting
Alex Renato Montero, Jeffrey S Dubin, Paul Sack, Michelle F Magee
Alex Renato Montero, Paul Sack, Michelle F Magee, MedStar Diabetes Institute, Washington, DC 20010, United States
Alex Renato Montero, Department of Medicine, MedStar Georgetown University Hospital, Washington, DC 20007, United States
Jeffrey S Dubin, MedStar Washington Hospital Center, Washington, DC 20010, United States
Paul Sack, MedStar Union Memorial Hospital, Baltimore, MD 21218, United States
Michelle F Magee, MedStar Health Research Institute, Washington, DC 20010, United States
Author contributions: Montero AR and Magee MF conceived the study, reviewed the literature and drafted the manuscript; Dubin JS and Sack P reviewed the literature and revised the manuscript; all authors approved the final version of the article.
Conflict-of-interest statement: Montero AR, Dubin JS and Sack P have no financial conflicts of interest to declare relevant to any of the content of this editorial. Magee M received funding on behalf of MedStar Health Research Institute during the study period from Eli Lilly for the REWIND Study, From Sanofi for the AMPLITUDE Study, from the Patient-Centered Outcomes Research Institute (NCT-02093234), from the National Institutes of Health (NIH DK-109503) and from Mytonomy. She served as a speaker for the American Diabetes Association and for PRIMED® and on an Advisory Focus Group for Merck.
Open-Access: This is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Alex Renato Montero, MD, Assistant Professor, MedStar Diabetes Institute, 100 Irving Street NW (Suite 4114), Washington, DC 20010, United States. arm243@georgetown.edu
Telephone: +1-202-8772383 Fax: +1-202-8776775
Received: June 28, 2019 Peer-review started: June 29, 2019 First decision: August 2, 2019 Revised: August 13, 2019 Accepted: August 27, 2019 Article in press: August 27, 2019 Published online: September 15, 2019 Processing time: 75 Days and 9.1 Hours
Core Tip
Core tip: Achieving optimal glycemic control in inpatients with diabetes and hyperglycemia remains a challenge for hospital providers. An array of technology-supported systems are evolving to assist providers and patients in meeting this challenge. Next generation, robust clinical decision support systems embedded in the electronic medical record are well positioned to replace structured order sets in the near term. If demonstrated to be cost effective, fully automated electronic glycemic management systems may become commonplace, in particular in intensive care unit settings. Novel media platforms hold tremendous potential for expanding access to crucial, effective self-management education for all patients with diabetes in hospital settings.
