Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
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
Doi: 10.4338/ACI-2014-04-RA-0033
[OPEN ACCESS]
Web of Science
PubMed
FullText
FullText_MUG
- Co-Autor*innen der Med Uni Graz
- Höll Bernhard
- Mader Julia
- Pieber Thomas
- Schaupp Lukas
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- 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