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

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.