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Clinical Implementation of the Omnipod 5 Automated Insulin Delivery System: Key Considerations for Training and Onboarding People With Diabetes
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 arti...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160549/ https://www.ncbi.nlm.nih.gov/pubmed/35669307 http://dx.doi.org/10.2337/cd21-0083 |
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author | Berget, Cari Sherr, Jennifer L. DeSalvo, Daniel J. Kingman, Ryan S. Stone, Sheri L. Brown, Sue A. Nguyen, Alex Barrett, Leslie Ly, Trang T. Forlenza, Gregory P. |
author_facet | Berget, Cari Sherr, Jennifer L. DeSalvo, Daniel J. Kingman, Ryan S. Stone, Sheri L. Brown, Sue A. Nguyen, Alex Barrett, Leslie Ly, Trang T. Forlenza, Gregory P. |
author_sort | Berget, Cari |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9160549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Diabetes Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-91605492022-06-10 Clinical Implementation of the Omnipod 5 Automated Insulin Delivery System: Key Considerations for Training and Onboarding People With Diabetes Berget, Cari Sherr, Jennifer L. DeSalvo, Daniel J. Kingman, Ryan S. Stone, Sheri L. Brown, Sue A. Nguyen, Alex Barrett, Leslie Ly, Trang T. Forlenza, Gregory P. Clin Diabetes Feature Articles 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. American Diabetes Association 2022 2022-04-15 /pmc/articles/PMC9160549/ /pubmed/35669307 http://dx.doi.org/10.2337/cd21-0083 Text en © 2022 by the American Diabetes Association https://www.diabetesjournals.org/journals/pages/licenseReaders may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at https://www.diabetesjournals.org/journals/pages/license. |
spellingShingle | Feature Articles Berget, Cari Sherr, Jennifer L. DeSalvo, Daniel J. Kingman, Ryan S. Stone, Sheri L. Brown, Sue A. Nguyen, Alex Barrett, Leslie Ly, Trang T. Forlenza, Gregory P. Clinical Implementation of the Omnipod 5 Automated Insulin Delivery System: Key Considerations for Training and Onboarding People With Diabetes |
title | Clinical Implementation of the Omnipod 5 Automated Insulin Delivery System: Key Considerations for Training and Onboarding People With Diabetes |
title_full | Clinical Implementation of the Omnipod 5 Automated Insulin Delivery System: Key Considerations for Training and Onboarding People With Diabetes |
title_fullStr | Clinical Implementation of the Omnipod 5 Automated Insulin Delivery System: Key Considerations for Training and Onboarding People With Diabetes |
title_full_unstemmed | Clinical Implementation of the Omnipod 5 Automated Insulin Delivery System: Key Considerations for Training and Onboarding People With Diabetes |
title_short | Clinical Implementation of the Omnipod 5 Automated Insulin Delivery System: Key Considerations for Training and Onboarding People With Diabetes |
title_sort | clinical implementation of the omnipod 5 automated insulin delivery system: key considerations for training and onboarding people with diabetes |
topic | Feature Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160549/ https://www.ncbi.nlm.nih.gov/pubmed/35669307 http://dx.doi.org/10.2337/cd21-0083 |
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