Titre :

Scheduling Approch to Control the Execution of the Patient Pathway Workflow in the Emergency Department

Auteur(s) :

Ajmi, Faiza [Auteur]
Ben Othman, Sarah [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
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 manifestation scientifique :

The 3th International FLINS Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018)

Ville :

Belfast, Noorthern Ireland

Pays :

Royaume-Uni

Date de début de la manifestation scientifique :

2018-08-21

Discipline(s) HAL :

Informatique [cs]

Résumé en anglais : [en]

The majority of developed countries are interested in enhancing their healthcare information system in order to expect the overcrowding situations and improve the patient quality of care. In this paper, we focus on the ...
Lire la suite >The majority of developed countries are interested in enhancing their healthcare information system in order to expect the overcrowding situations and improve the patient quality of care. In this paper, we focus on the patient pathway workflow modeling using the business process management notation (BPMN) graphical language in the adult emergency department (AED). The goal of our work is to identify the dysfunction situations and improve the performance indicators such as the waiting time. The idea is to optimize this criterion using a real-time scheduling algorithm applied simultaneously on each decision point (gateway) of the patient pathway workflow model. The objective of our algorithm is to assign a dynamic priority to the patients according to their health state evolution. In addition, taking into account the uncertainty of patient arrival an adequate a real time scheduling algorithm is proposed. Our approach is tested on a set of real database from the AED of the regional university hospital (RUH) of Lille (in the north of France). We conducted interviews, performed healthcare tasks analysis, and validated results with the AED medical staff. The goal is to have the workflow model as close as possible to the real functioning of the AED. The simulation results show that the average waiting time of the patients at the AED drop by 11% thanks to our approach.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

CHU Lille
CNRS
Centrale Lille
Université de Lille

Collections :

• METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Date de dépôt :

2020-06-08T14:11:03Z
2020-06-09T09:08:32Z