Distributed agent based architecture to optimize the management of patients at the emergency department in hospitals

Health-care organizations are facing new challenges such as the aging population, the rise of health care costs and the rapid progress of medical technologies. New policies of health care budget control have been introduced to increase efficiency, reduce waste and reshape the entire health care system. Targeted organizations are complex networks of human,financial, structural and technological resources aiming at guarantying best public health care.These issues concern all the more Emergency Departments (ED) congested by the massive influx of passages and which must provide quick decisions and ensure the sizing of its resources to reduce waiting times for patients with out compromising quality of care.The objective of this thesis is to propose appropriate solutions to ED to improve carefor patients in terms of waiting time. We began by analyzing the problems of the emergency department in order to initiate a process of improvement. Subsequently, we modeled the process of care for patients at ED by using an open and dynamic multi-agent system. The proposed system can provide decision support on business planning and allocation of medical resources in a unit where one is often faced with an emergency situation requiring rapid and effective response. In this context, we study the reactive problem for optimizing scheduling of operations care and the coordination problem of medical staff. We take into account the skills mastered by human resources at ED in order to find a match with those required by the medical activity. This approach aims to increase quality, reduce time of expectation and provide pointers gains management

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Source https://theses.hal.science/tel-00674760
Author Daknou, Amani
Maintainer CCSD
Last Updated May 26, 2026, 14:16 (UTC)
Created May 26, 2026, 14:16 (UTC)
Identifier NNT: 2011ECLI0011
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS) ; Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)
creator Daknou, Amani
date 2011-07-06T00:00:00
harvest_object_id 762301a7-c506-4e36-a772-4480d124596d
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-30T00:00:00
set_spec type:THESE