1. Future of Automated Insulin Delivery Systems
- Author
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Jessica R. Castle, Boris Kovatchev, J. Hans DeVries, Endocrinology, and AGEM - Amsterdam Gastroenterology Endocrinology Metabolism
- Subjects
Pancreas, Artificial ,medicine.medical_specialty ,endocrine system diseases ,Endocrinology, Diabetes and Metabolism ,Insulin delivery ,Insulins ,030209 endocrinology & metabolism ,Artificial pancreas ,Food and drug administration ,03 medical and health sciences ,0302 clinical medicine ,Endocrinology ,Insulin Infusion Systems ,Internal medicine ,medicine ,Humans ,030212 general & internal medicine ,Continuous glucose monitoring ,business.industry ,Basal insulin ,Blood Glucose Self-Monitoring ,nutritional and metabolic diseases ,Original Articles ,Automation ,Medical Laboratory Technology ,Risk analysis (engineering) ,business - Abstract
Advances in continuous glucose monitoring (CGM) have brought on a paradigm shift in the management of type 1 diabetes. These advances have enabled the automation of insulin delivery, where an algorithm determines the insulin delivery rate in response to the CGM values. There are multiple automated insulin delivery (AID) systems in development. A system that automates basal insulin delivery has already received Food and Drug Administration approval, and more systems are likely to follow. As the field of AID matures, future systems may incorporate additional hormones and/or multiple inputs, such as activity level. All AID systems are impacted by CGM accuracy and future CGM devices must be shown to be sufficiently accurate to be safely incorporated into AID. In this article, we summarize recent achievements in AID development, with a special emphasis on CGM sensor performance, and discuss the future of AID systems from the point of view of their input–output characteristics, form factor, and adaptab...
- Published
- 2017