A Conceptual Framework and a Suite of Tools to Support Crisis Management

This article aims at describing an approach to support crisis management. The main idea is to use an original vision of Big-Data to manage the question of collaboration issues in crisis response. On the one hand, this article introduces a general framework that structures the methodology applied in our approach. This framework includes several technical and business dimensions and embeds scientific results that are presented in this article or have been described in previous articles. On the other hand, the resulting implemented suite of tools is also presented with regards to the conceptual framework. Finally, in order to emphasize all the main features described in this article, both the framework and the suite of tools are illustrated and put into action through a scenario extracted from a real exercise

Evaluating the Process Capability Ratio of Patients’ Pathways by the Application of Process Mining, SPC and RTLS

International audienceLearning how patients receive their health treatments is a critical mission for hospitals. To fulfill this task, this paper defines patients’ pathways as business process models and tries to apply process mining, real-time location systems(RTLS), and statistical process control (SPC) as a set of techniques to monitor patients’ pathways. This approach has been evaluated by a case study in a hospital living lab. These techniques analyze patients’ pathways from two different perspectives: (1)control-flow and (2)performance perspectives. In order to do so, we gathered the location data from movements of patients and used a proof of concept framework known as R.IO-DIAG to discover the processes. To elevate the performance analyses, this paper introduces the process capability ratio of the patients’ pathways by measuring the walking distance. The results lead to the evaluation of the quality of business processes