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 †

Üçer Ö. F., KAVAK A., Demirhan Y., Uzun M., Savaş B., İNNER A. B., ...Daha Fazla

Engineering Proceedings, cilt.104, sa.1, 2025 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 104 Sayı: 1
  • Basım Tarihi: 2025
  • Doi Numarası: 10.3390/engproc2025104027
  • Dergi Adı: Engineering Proceedings
  • Derginin Tarandığı İndeksler: Scopus
  • Anahtar Kelimeler: automated dose adjustment, clinical guidelines, decision support system, diabetes management, mobile health applications, rule-based algorithm, type 1 diabetes
  • Kocaeli Üniversitesi Adresli: Evet

Özet

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.