Clinical Implementation of the Omnipod 5 Automated Insulin Delivery System: Key Considerations for Training and Onboarding People With Diabetes.
Cari BergetJennifer L SherrDaniel J DeSalvoRyan S KingmanSheri L StoneSue A BrownAlex NguyenLeslie BarrettTrang T LyGregory P ForlenzaPublished in: Clinical diabetes : a publication of the American Diabetes Association (2022)
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.
Keyphrases
- type diabetes
- glycemic control
- primary care
- cardiovascular disease
- machine learning
- deep learning
- weight loss
- high throughput
- insulin resistance
- healthcare
- big data
- stem cells
- risk factors
- mesenchymal stem cells
- randomized controlled trial
- health insurance
- mass spectrometry
- single cell
- cell therapy
- high resolution
- quality improvement