Safe and Sufficient Glycemic Control by Using a Digital Clinical Decision Support System for Patients With Type 2 Diabetes in a Routine Setting on General Hospital Wards | Zendy

Katharina M. Lichtenegger | Zendy; Felix Aberer | Zendy; Alexandru Tuca | Zendy; Klaus Donsa | Zendy; Bernhard Höll | Zendy; Lukas Schaupp | Zendy; Johannes Plank | Zendy; Peter Beck | Zendy; Friedrich Fruhwald | Zendy; LarsPeter Kamolz | Zendy; Thomas R. Pieber | Zendy; Julia K. Mader | Zendy

Open Access

Safe and Sufficient Glycemic Control by Using a Digital Clinical Decision Support System for Patients With Type 2 Diabetes in a Routine Setting on General Hospital Wards

Author(s) -

Katharina M. Lichtenegger,

Felix Aberer,

Alexandru Tuca,

Klaus Donsa,

Bernhard Höll,

Lukas Schaupp,

Johannes Plank,

Peter Beck,

Friedrich Fruhwald,

LarsPeter Kamolz,

Thomas R. Pieber,

Julia K. Mader

Publication year - 2020

Publication title -

journal of diabetes science and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.039

H-Index - 75

eISSN - 1932-3107

pISSN - 1932-2968

DOI - 10.1177/1932296820955243

Subject(s) - medicine , glycemic , clinical decision support system , dosing , diabetes mellitus , bolus (digestion) , insulin , type 1 diabetes , health professionals , decision support system , workflow , insulin pump , emergency medicine , intensive care medicine , health care , endocrinology , computer science , artificial intelligence , database , economic growth , economics

The aim was to investigate the applicability of a clinical decision support system in a real-world inpatient setting for patients with type 2 diabetes on general hospital wards. A total of 150 patients with type 2 diabetes requiring subcutaneous insulin therapy were treated with basal-bolus insulin therapy guided by a decision support system (GlucoTab) providing automated workflow tasks and suggestions for insulin dosing to health care professionals. By using the system, a mean daily blood glucose (BG) of 159 ± 32 mg/dL was achieved. 68.8% of measurements were in the target range (70 to 93% and 91%, respectively). The decision support system facilitates safe and efficacious inpatient diabetes care by standardizing treatment workflow and providing decision support for basal-bolus insulin dosing.

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