Context-Based Modeling of an Anatomo-Cyto-Pathology Department Workflow for Quality Control

The paper presents the contextualization of the Anatomical pathology (AP) workflow focusing on nonconformity during the reception and registration steps. Context is described by contextual elements related to heterogeneous sources such as the actor, the task, the situation and the local environment. The objective of this work is the application of contextual graph to the "workflow" of an AP exam, limited to the steps of reception and registration. The main point is the context-based representation of practices developed by actors instead of an object-centered view on the workflow to identify and ultimately avoid risky practices leading to nonconformity and prejudice. Therefore contextual graph can be considered as a tool for monitoring the quality of work in an AP department, the actions, detection and correction of nonconformities as well as a base for intelligent software creation that links different modules in medical care.