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
| Autor: | Katharina M. Lichtenegger, Julia K. Mader, Lukas Schaupp, Klaus Donsa, Felix Aberer, Alexandru Tuca, Lars-Peter Kamolz, Johannes Plank, Friedrich Fruhwald, Peter Beck, Bernhard Höll, Thomas R. Pieber |
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| Rok vydání: | 2020 |
| Předmět: |
Blood Glucose
Decision support system business.industry Endocrinology Diabetes and Metabolism Special Section: Insulin Dosing Software in the Hospital Control (management) Biomedical Engineering Bioengineering Inpatient setting Type 2 diabetes Glycemic Control medicine.disease Decision Support Systems Clinical Hospitals General Clinical decision support system Diabetes Mellitus Type 2 Internal Medicine Medicine Humans Hypoglycemic Agents Insulin Medical emergency General hospital business Glycemic |
| Zdroj: | J Diabetes Sci Technol |
| ISSN: | 1932-2968 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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