A Cubic Chromosome Representation for ...
Type de document :
Article dans une revue scientifique
URL permanente :
Titre :
A Cubic Chromosome Representation for Patient Scheduling in the Emergency Department
Auteur(s) :
Ben Othman, Sarah [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Ajmi, Faten [Auteur]
Zgaya, Hayfa [Auteur]
Santé publique : épidémiologie et qualité des soins - EA 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Hammadi, Slim [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Ajmi, Faten [Auteur]
Zgaya, Hayfa [Auteur]
Santé publique : épidémiologie et qualité des soins - EA 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Hammadi, Slim [Auteur]
Titre de la revue :
RAIRO - Operations Research
Nom court de la revue :
RAIRO - Oper. Res.
Éditeur :
EDP Sciences
Date de publication :
2018
ISSN :
0399-0559
Mot(s)-clé(s) :
Three-dimensional cubic algorithm
Genetic algorithm
Emergency department
Dynamic scheduling
Scheduled and unscheduled patients
Genetic algorithm
Emergency department
Dynamic scheduling
Scheduled and unscheduled patients
Discipline(s) HAL :
Informatique [cs]
Résumé en anglais : [en]
In healthcare institution management, hospital flow control and the prediction of overcrowding are major issues. The objective of the present study is to develop a dynamic scheduling protocol that minimizes interference ...
Lire la suite >In healthcare institution management, hospital flow control and the prediction of overcrowding are major issues. The objective of the present study is to develop a dynamic scheduling protocol that minimizes interference between scheduled and unscheduled patients arriving at the emergency department (ED) while taking account of disturbances that occur in the ED on a daily basis. The ultimate goal is to improve the quality of care and reduce waiting times via a two-phase scheduling approach. In the first phase, we used a genetic algorithm (based on a three-dimensional cubic chromosome) to manage scheduled patients. In the second phase, we took account of the dynamic, uncertain nature of the ED environment (the arrival of unscheduled patients) by continuously updating the schedule.Lire moins >
Lire la suite >In healthcare institution management, hospital flow control and the prediction of overcrowding are major issues. The objective of the present study is to develop a dynamic scheduling protocol that minimizes interference between scheduled and unscheduled patients arriving at the emergency department (ED) while taking account of disturbances that occur in the ED on a daily basis. The ultimate goal is to improve the quality of care and reduce waiting times via a two-phase scheduling approach. In the first phase, we used a genetic algorithm (based on a three-dimensional cubic chromosome) to manage scheduled patients. In the second phase, we took account of the dynamic, uncertain nature of the ED environment (the arrival of unscheduled patients) by continuously updating the schedule.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
CHU Lille
CNRS
Centrale Lille
Université de Lille
CNRS
Centrale Lille
Université de Lille
Date de dépôt :
2020-06-08T14:10:26Z
2020-06-09T08:58:30Z
2020-06-09T08:58:30Z
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