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Outils et modèles collaboratifs pour la gestion des tensions dans les services des urgences pédiatriques

Abstract : In the healthcare production management systems, the control of the patient flows and the anticipation of the tensions are major issues. Due to the increasing the crowding situations and their consequences, there is an ever increasing emphasis on the ability of the actors in hospital and healthcare pathways to manage the patient health care process. They must be able to control the crowding (peaks of activities, congestion of services) that are related to patient and healthcare processes flows. However, decision makers do not have sufficient methodologies and decision support tools adapted for controlling the patient flows.This thesis aims to investigate and develop modeling, optimization and implementation of a Support System to improve the care of patients in normal situation and crowding situation in Services Pediatric Emergencies (SUP) of the Lille University Hospital. The objective of this thesis is to propose appropriate solutions to the SUP to improve care for patients in terms of wait times. We therefore modeled the process of care for patients by Workflow approach to identify malfunctions in the SUP near the modeling phase; we proposed a resolution of agent-based architecture to optimize scheduling patient flow and significantly decrease their waiting time during periods of tension. Then we studied a dynamic process orchestration workflow by agents to reduce the expectations of patients running time. This thesis is conducted under the ANR HOST project in collaboration with the Lille University Hospital SUP. The simulation results highlight the contribution of the alliance between the multi-agent systems and optimization for decision support
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Submitted on : Tuesday, February 23, 2016 - 11:03:06 AM
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  • HAL Id : tel-01277772, version 1



Inès Ajmi. Outils et modèles collaboratifs pour la gestion des tensions dans les services des urgences pédiatriques. Automatique / Robotique. Ecole Centrale de Lille, 2015. Français. ⟨NNT : 2015ECLI0012⟩. ⟨tel-01277772⟩



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