Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

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SHR Neuro Krebs Kardio Lipid

Donsa, K; Beck, P; Plank, J; Schaupp, L; Mader, JK; Truskaller, T; Tschapeller, B; Höll, B; Spat, S; Pieber, TR.
A toolbox to improve algorithms for insulin-dosing decision support.
Appl Clin Inform. 2014; 5(2):548-556 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Autor/innen der Med Uni Graz:
Höll Bernhard
Mader Julia
Pieber Thomas
Schaupp Lukas
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Number of Figures: 4
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Abstract:
Standardized insulin order sets for subcutaneous basal-bolus insulin therapy are recommended by clinical guidelines for the inpatient management of diabetes. The algorithm based GlucoTab system electronically assists health care personnel by supporting clinical workflow and providing insulin-dose suggestions. To develop a toolbox for improving clinical decision-support algorithms. The toolbox has three main components. 1) Data preparation: Data from several heterogeneous sources is extracted, cleaned and stored in a uniform data format. 2) Simulation: The effects of algorithm modifications are estimated by simulating treatment workflows based on real data from clinical trials. 3) ANALYSIS: Algorithm performance is measured, analyzed and simulated by using data from three clinical trials with a total of 166 patients. Use of the toolbox led to algorithm improvements as well as the detection of potential individualized subgroup-specific algorithms. These results are a first step towards individualized algorithm modifications for specific patient subgroups.
Find related publications in this database (using NLM MeSH Indexing)
Algorithms -
Blood Glucose - metabolism
Decision Support Systems, Clinical -
Drug Dosage Calculations -
Humans -
Insulin - administration & dosage
Monitoring, Physiologic -

Find related publications in this database (Keywords)
clinical decision support systems, workflow
algorithms
computer simulation
diabetes mellitus type 2
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