Abstract
In this paper, we address the importance of nursing risk management, show computational models of nursing risk management, and address the necessity of building nursing ontologies to perform computational nursing risk management.
First, we address the importance and necessity of nursing risk management. Then we review nursing accidents or incidents from the cognitive aspects of human errors. Based on cognitive features, we logically model nursing risk management. We briefly show an abduction-based model and a scenario violation model that is an extended model of abduction that can deal with time information. Finally, we show the necessity of building a knowledge base and a scenario base for the inferences. In addition, we point out the necessity of building nursing ontologies for an automatic knowledge base genaration and show a perspective of nursing ontology building.
