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

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Spat, S; Höll, B; Petritsch, G; Schaupp, L; Beck, P; Pieber, TR.
Automatic system testing of a decision support system for insulin dosing using Google Android.
Stud Health Technol Inform. 2013; 186(10): 187-191.
PubMed

 

Co-Autor*innen der Med Uni Graz
Höll Bernhard
Pieber Thomas
Schaupp Lukas
Altmetrics:

Dimensions Citations:

Plum Analytics:
Abstract:
Hyperglycaemia in hospitalized patients is a common and costly health care problem. The GlucoTab system is a mobile workflow and decision support system, aiming to facilitate efficient and safe glycemic control of non-critically ill patients. Being a medical device, the GlucoTab requires extensive and reproducible testing. A framework for high-volume, reproducible and automated system testing of the GlucoTab system was set up applying several Open Source tools for test automation and system time handling. The REACTION insulin titration protocol was investigated in a paper-based clinical trial (PBCT). In order to validate the GlucoTab system, data from this trial was used for simulation and system tests. In total, 1190 decision support action points were identified and simulated. Four data points (0.3%) resulted in a GlucoTab system error caused by a defective implementation. In 144 data points (12.1%), calculation errors of physicians and nurses in the PBCT were detected. The test framework was able to verify manual calculation of insulin doses and detect relatively many user errors and workflow anomalies in the PBCT data. This shows the high potential of the electronic decision support application to improve safety of implementation of an insulin titration protocol and workflow management system in clinical wards.
Find related publications in this database (using NLM MeSH Indexing)
Computer Simulation -
Decision Support Systems, Clinical -
Drug Therapy, Computer-Assisted - methods
Humans -
Hyperglycemia - blood
Insulin - administration & dosage
Models, Theoretical -
Programming Languages -
Software -
Software Validation -
User-Computer Interface -

© Med Uni Graz Impressum