Ontology Based Organizational Risk Knowledge Creation Support Based on Incident Reports

Medical workers are quite busy. Risk in the medical workplace is increasing. For those reasons, a framework that can encourage continuous refinement of medical systems, thereby avoiding serious accidents by identifying small risk indicators, must be built using information technology. According to Heinrich's Law, 29 minor injuries and 300 non-injury accidents are implied by a report of a major injury. Consequently, a major injury probably does not occur without a forerunner: it is preceded by minor accidents. We intend to build a framework that can contribute to quality refinement of medical treatments by supporting an organizational knowledge creation based on incident reports. This paper first describes incident-reporting-based organizational risk knowledge creation. Secondly, we overview our ontology-based system, which can guide the analytical processes of incident reports, and which can attach the semantic tags to facilitate semantic retrieval. Finally, we demonstrate our system using a simple scenario.