J Diabetes Sci Technol. September 2020:1932296820955243.
https://dx.doi.org/10.1177/1932296820955243
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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 <180 mg/dL). The percentage of BG values <40, <70, and ≥300 mg/dL was 0.02%, 2.2%, and 2.3%, respectively. Health care professionals’ adherence to suggested insulin doses and workflow tasks was high (>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.
Authors
Katharina M Lichtenegger (1), Felix Aberer (1), Alexandru C Tuca (2), Klaus Donsa (3), Bernhard Höll (3, 4), Lukas Schaupp (1), Johannes Plank (5), Peter Beck (3, 4), Friedrich M Fruhwald (6), Lars-Peter Kamolz (2), Thomas R Pieber (1, 3), Julia K Mader (1)
Affiliations
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Austria.
- Department of Surgery, Division of Plastic, Aesthetic and Reconstructive Surgery, Medical University of Graz, Austria.
- Joanneum Research GmbH, HEALTH, Institute for Biomedicine and Health Sciences, Austria.
- decide Clinical Software GmbH, Austria.
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Medical University of Graz, Austria.
- Department of Internal Medicine, Division of Cardiology, Medical University of Graz, Austria.
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