A Conceptual Framework to Support Discovering of Patients' Pathways as Operational Process Charts

To offer high quality services to patients, hospitals try to get a perception of patients' processes. This research work aims at identifying a type of processes known as patients' pathways and to devise a framework which could support the task of discovering patients' pathways. Existing modeling languages for discovering patients' processes fail at extracting the value and nature of each activity relevant to the whole process. To fill the identified gap, this paper uses a new approach for visualizing patients' pathways as Operational Process Charts (OPC). To do so, Real-Time Location Systems (RTLS) have been used to extract the primary event logs which contain the data related to movements of patients. Next, we have designed a meta-model which can filter and analyze the RTLS event logs and identify the different elements for the construction of OPC's. This paper focuses on presenting the DIAG meta-model for interpretation of event logs and the transformation of these data into opc's.