Title :
Conceptual ontology of prospective risk analysis in medical environments - the OPT-Model-Ontology
Author :
Timo Sigwarth;Katharina Loewe;Eberhard Beck;Lutz Pelchen;Thomas Schrader
Author_Institution :
Department of Informatics and Media, University of Applied Sciences, Brandenburg, Germany
Abstract :
Clinical processes tend to be highly complex which results in 5%-10% erroneous procedures. A process risk analysis through the medical risk management is mostly retrospectively, therefore it´s commonly not suited to prevent errors before occurring. In technical domains prospective analysis methods, like Hazards & Operability study (HAZOP study), are widely used, but the adaption of these methods for medical processes is rather difficult.
Conference_Titel :
Intelligent Computing and Information Systems (ICICIS), 2015 IEEE Seventh International Conference on
Print_ISBN :
978-1-5090-1949-6
DOI :
10.1109/IntelCIS.2015.7397202