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Clinical pathway computer modeling, implementation and control is an important way to enhance clinical pathway implementation effect and also a cardinal channel to achieve efficient medical services. In the process of the research above, find an effective way to manage the variation of clinical pathway is necessary. At present, the variation management mainly based on reasoning methods with predicate logic, its ability to handle uncertain event is lacking. This article discusses how to use fuzzy number to present the uncertain factor in clinical pathway variation event, and embed this presentation in ECA (Event-Condition-Action) model, namely UC-ECA. It's a theoretical model that can control the uncertain factor in reasoning. With this model, we can provide a more optimized reasoning system that can be imported into the already existing clinical pathway system, such as ontology knowledge system.

Uncertain Event Presentation and ECA Modeling in Clinical Pathway Variation