Current trends of digital solutions for diabetes management
Abstract
Industry 4.0 is an updated concept of smart production, which is identified with the fourth industrial revolution and the emergence of cyber-physical systems. Industry 4.0 is the next stage in the digitization of productions and industries, where such technologies and concepts as the Internet of things, big data, predictive analytics, cloud computing, machine learning, machine interaction, artificial intelligence, robotics, 3D printing, augmented reality. As an area of therapy with the best market potential and one of the most expensive global diseases, diabetes attracts the best healthcare players, who use innovative technologies. Current trends in digitalization of diabetes management are presented.
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In chronic disease management, AI systems can support transitions between care settings, enhance remote monitoring, and offer predictive insights that guide therapeutic decisions.
“For chronic disease management, where continuity and coordination of care are essential, AI systems can support transitions between care settings, enhance remote monitoring, and offer predictive insights that guide therapeutic decisions [106,107,108].”
From Barriers and Facilitators to Artificial Intelligence Implementation in Diabetes Management from Healthcare Workers’ Perspective: A Scoping Review (2025) · cites this paper as [107]
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- Authors
- Neborachko, M., Pkhakadze, A., & Vlasenko, I.
- Corresponding author
- Neborachko, Maryna
- Venue
- Diabetes & Metabolic Syndrome: Clinical Research & Reviews
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 13
- Issue
- 5
- Pages
- 2997-3003
- ISSN
- 1871-4021 (ISSN-L)
- OpenAlex
- W2884593953
- Cited by
- 36
- References
- 16
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 6 · 2020: 7 · 2019: 8
- FWCI
- 8.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- diabetes management, digital health, Industry 4.0, Internet of Things, cyber-physical systems, big data, predictive analytics, cloud computing, machine learning, artificial intelligence, robotics, 3D printing, augmented reality
- MeSH terms
- Machine Learning, Big Data, Artificial Intelligence, Delivery of Health Care, Diabetes Mellitus, Humans, Disease Management, Internet
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