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Automated insulin delivery systems: An overview and current possibilities

https://doi.org/10.62751/2713-0177-2026-7-2-05

Abstract

Currently, there is still a need to study and implement the most effective therapeutic approaches for patients with type 1 diabetes to reduce the risk of diabetes-related complications and improve quality of life. The development and integration of continuous glucose monitoring (CGM) systems and continuous subcutaneous insulin infusion have enabled the creation of more advanced systems that provide automated insulin delivery. These systems automatically adjust the insulin dose every few minutes based on CGM data, helping to achieve glycemic targets while significantly reducing the burden on the patient. This article provides an overview of the most popular automated insulin delivery systems, including open-source systems that have not yet received regulatory approval. The review emphasizes that, regardless of the type of device, clinical effectiveness largely depends on how successfully the patient masters the principles of insulin pump therapy and uses all the functions of the systems. Despite all the technological advances, the patient's active participation in managing insulin delivery currently remains essential. 

About the Authors

V. E. Bairova
Pirogov Russian National Research Medical University
Russian Federation

Valeriia E. Bairova – assistant at Department of endocrinology of the Institute of clinical medicine 

1 Ostrovityanova St., Moscow, 117997 



T. T. Mayarbieva
Pirogov Russian National Research Medical University
Russian Federation

Tanzila T. Mayarbieva – assistant at Department of endocrinology of the Institute of clinical medicine 

Moscow 



T. Yu. Demidova
Pirogov Russian National Research Medical University
Russian Federation

Tatyana Yu. Demidova – Dr. Sci (Med.), professor, Honored Doctor of the Russian Federation 

Moscow 



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Review

For citations:


Bairova V.E., Mayarbieva T.T., Demidova T.Yu. Automated insulin delivery systems: An overview and current possibilities. FOCUS. Endocrinology. 2026;7(2):46-53. (In Russ.) https://doi.org/10.62751/2713-0177-2026-7-2-05

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ISSN 2713-0177 (Print)
ISSN 2713-0185 (Online)