Philipp, P.P.PhilippBeyerer, JürgenJürgenBeyererFischer, YvonneYvonneFischer2022-03-1310.8.20172017https://publica.fraunhofer.de/handle/publica/39742110.1109/COGSIMA.2017.792958910.24406/publica-r-397421To provide assistance functions in context of surgical interventions, the use of medical workflows plays an important role. Workflow models can be used to assess the progress of an on-going surgery, enabling tailored (i.e., context sensitive) support for the medical practitioner. Subsequently, this provides opportunities to prevent malpractices, to enhance the patient's outcome and to preserve a high level of satisfaction. In this work, we propose a framework which enables a formalization of medical workflows. It is driven by a dialog of medical as well as technical experts and is based on the Unified Modeling Language (UML). An easy comprehensible UML activity serves as a starting point for the automatic generation of more complex models that can be used for the actual estimation of the progress of a surgical intervention. In this work, we present translation rules, which allow to transfer a given UML activity into a Dynamic Bayesian Network (DBN). The methods are presented for the application example of a cholecystectomy (surgical removal of the gallbladder).ensurgical workflowdynamic Bayesian networksUnified Modeling Languageassistanceplanning004670Expert-based probabilistic modeling of workflows in context of surgical interventionsconference paper