Implementation of a Decision Support Mechanism on a Mobile Platform Using Clinical Evidence-Based Dynamic Insulin Dosage Adjustment for Artificial Intelligence-Enabled Diabetes Care (AIDCARE) System

Adjusting the insulin dose in patients with diabetes is crucial for maintaining optimal blood glucose levels. Currently, the insulin dose adjustment of patients registered at the Diabetes Clinic of Kocaeli University Hospital is followed manually using clinical forms, which is time-consuming and often fails to adequately account for individual variations. In this study, a rule-based insulin dose adjustment algorithm was developed based on clinical guidelines. The algorithm analyzes blood glucose levels measured at specific times over the past three days to determine the necessary insulin dose adjustments. The algorithm is implemented as part of the measurement module in a mobile application, the so-called AIDCARE application, which provides an artificial intelligence-enabled self-management tool for diabetic patients.

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Published
2025-08-25
DOI
https://doi.org/10.3390/engproc2025104027
Citations
3
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
3.88
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article

Implementation of a Decision Support Mechanism on a Mobile Platform Using Clinical Evidence-Based Dynamic Insulin Dosage Adjustment for Artificial Intelligence-Enabled Diabetes Care (AIDCARE) System

Emre Gezer, Muhammed Ahmet Demirtaş, Adnan Kavak, Yeliz Demirhan et al.
3 citations
Diabetes Management and Research
3.88
article

Implementation of a Decision Support Mechanism on a Mobile Platform Using Clinical Evidence-Based Dynamic Insulin Dosage Adjustment for Artificial Intelligence-Enabled Diabetes Care (AIDCARE) System

Emre Gezer, Muhammed Ahmet Demirtaş, Adnan Kavak, Yeliz Demirhan, Özgür Çakır, K. Ünlü, A. Ziya Aktaş, Berrin Çetinarslan, Zeynep Cantürk, Muhammet Uzun, Umut Yiğit, Oktay Üçer, Alpaslan Burak İnner, Alev Selek, Aykut Firat, Özlem Alkan, Göksel Okandan, Saliha Ünersoy, Betül Savaş
article en
3 citations

Abstract

Adjusting the insulin dose in patients with diabetes is crucial for maintaining optimal blood glucose levels. Currently, the insulin dose adjustment of patients registered at the Diabetes Clinic of Kocaeli University Hospital is followed manually using clinical forms, which is time-consuming and often fails to adequately account for individual variations. In this study, a rule-based insulin dose adjustment algorithm was developed based on clinical guidelines. The algorithm analyzes blood glucose levels measured at specific times over the past three days to determine the necessary insulin dose adjustments. The algorithm is implemented as part of the measurement module in a mobile application, the so-called AIDCARE application, which provides an artificial intelligence-enabled self-management tool for diabetic patients.

Kocaeli Üniversitesi (TR)
Openalex Percentile: Top 6%
Diabetes Management and Research
3.88
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