Conceptual ontology of prospective risk analysis in medical environments - the OPT-Model-Ontology

Autor: Eberhard Beck, Timo Sigwarth, Thomas Schrader, Katharina Loewe, Lutz Pelchen
Rok vydání: 2015
Předmět:
Zdroj: 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS).
DOI: 10.1109/intelcis.2015.7397202
Popis: 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.
Databáze: OpenAIRE