Clinical Implementation of the Omnipod 5 Automated Insulin Delivery System: Key Considerations for Training and Onboarding People With Diabetes
Author(s) -
Cari Berget,
Jennifer L. Sherr,
Daniel J. DeSalvo,
Ryan Kingman,
Sheri L. Stone,
Sue A. Brown,
Alex Nguyen,
Leslie Barrett,
Trang T. Ly,
Gregory P. Forlenza
Publication year - 2021
Publication title -
clinical diabetes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.931
H-Index - 37
eISSN - 1945-4953
pISSN - 0891-8929
DOI - 10.2337/cd21-0083
Subject(s) - medicine , onboarding , insulin delivery , specialty , glycemic , diabetes mellitus , delivery system , diabetes management , primary care , intensive care medicine , type 1 diabetes , type 2 diabetes , family medicine , biomedical engineering , psychology , social psychology , endocrinology
Automated insulin delivery (AID) systems, which connect an insulin pump, continuous glucose monitoring system, and software algorithm to automate insulin delivery based on real-time glycemic data, hold promise for improving outcomes and reducing therapeutic burden for people with diabetes. This article reviews the features of the Omnipod 5 Automated Insulin Delivery System and how it compares to other AID systems available on or currently under review for the U.S. market. It also provides practical guidance for clinicians on how to effectively train and onboard people with diabetes on the Omnipod 5 System, including how to personalize therapy and optimize glycemia. Many people with diabetes receive their diabetes care in primary care settings rather than in a diabetes specialty clinic. Therefore, it is important that primary care providers have access to resources to support the adoption of AID technologies such as the Omnipod 5 System.
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