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Updated: Jun 25, 2026

Improving IV Insulin Administration in a Community Hospital
Published on: June 11, 2012
Automated Insulin Delivery: Great Strides in the Past, Great Needs for the Future
Rachel Seese1, Charlotte Katie Boughton1,2, Roman Hovorka1
1Institute of Metabolic Science-Metabolic Research Laboratories, University of Cambridge, Cambridge, U.K.
Automated insulin delivery (AID) systems are revolutionizing type 1 diabetes management. This review covers current hybrid systems, future fully automated options, and their application in diverse patient groups.
Area of Science:
- Endocrinology and Metabolism
- Biomedical Engineering
- Medical Technology
Background:
- Diabetes technology is rapidly advancing, significantly impacting diabetes management.
- Hybrid automated insulin delivery (AID) systems represent a major translational success from research to clinical practice.
Purpose of the Study:
- To review the development, commercialization, and selection factors for current hybrid AID systems.
- To explore advancements toward next-generation fully automated insulin delivery systems.
- To examine the expanding applications of AID in various diabetes populations and settings.
Main Methods:
- Literature review focusing on automated insulin delivery systems.
- Analysis of factors influencing AID system selection by users and healthcare professionals.
- Discussion of technological approaches for future fully automated systems.
- Review of emerging evidence for AID in specific patient cohorts.
Main Results:
- Hybrid AID systems have seen successful translation from bench to bedside.
- A growing choice of AID systems presents challenges in comparison and selection.
- Future fully automated systems may incorporate ultrarapid insulins, adjunctive therapies, wearables, or dual-hormone approaches.
- Emerging evidence supports AID use in vulnerable type 1 diabetes populations, type 2 diabetes, cystic fibrosis-related diabetes, and inpatient settings.
Conclusions:
- Automated insulin delivery systems are transforming diabetes care, with ongoing innovation towards full automation.
- Addressing the diabetes technology ecosystem is crucial for equitable access and effective implementation.
- AID shows promise for broader application across diverse clinical scenarios and patient groups.
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