Process-Oriented Knowledge Support in a Clinical Research Setting

This paper presents a model driven development method that provides integral support for knowledge intensive processes in clinical applications. The method is based on process models, which are capable to support knowledge intensive processes. The necessary modeling artifacts are created and afterwards integrated in the deployed process modeling method, using our model driven development approach. These so called process associated knowledge rules allow for the context sensitive knowledge retrieval during process execution.