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.
Katharina M LichteneggerFelix AbererAlexandru C TucaKlaus DonsaBernhard HöllLukas SchauppJohannes PlankPeter BeckFriedrich M FruhwaldLars-Peter KamolzThomas R PieberJulia Katharina MaderPublished in: Journal of diabetes science and technology (2020)
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.
Keyphrases
- glycemic control
- blood glucose
- type diabetes
- clinical decision support
- healthcare
- electronic health record
- weight loss
- insulin resistance
- acute care
- palliative care
- working memory
- adverse drug
- emergency department
- machine learning
- stem cells
- blood pressure
- metabolic syndrome
- clinical practice
- smoking cessation
- health insurance
- affordable care act