Patient Pathway Workflow Model Identifying Overcrowding Indicators in Emergency Department

Ajmi, Faten; Othman, Sarah; Biau, Hayfa; Hammadi, Slim

Type de document :

Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes

Titre :

Patient Pathway Workflow Model Identifying Overcrowding Indicators in Emergency Department

Auteur(s) :

Ajmi, Faten [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Othman, Sarah [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Biau, Hayfa [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Hammadi, Slim [Auteur]

LAGIS-OSL
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]

Titre de la manifestation scientifique :

8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications

Ville :

Porto

Pays :

Portugal

Date de début de la manifestation scientifique :

2018-07-29

Mot(s)-clé(s) en anglais :

Emergency department
Workflow
key performance indicators
overcrowding situation
Patient pathway

Discipline(s) HAL :

Informatique [cs]
Informatique [cs]/Modélisation et simulation

Résumé en anglais : [en]

The overcrowding situation in emergency department is serious problem worldwide. In fact, the majority of developing countries are interested in developing their hospital system in order to anticipate the overcrowding ...
Lire la suite >The overcrowding situation in emergency department is serious problem worldwide. In fact, the majority of developing countries are interested in developing their hospital system in order to anticipate the overcrowding situations and ameliorate the quality of patient care. In this paper, we focus on patient pathway in an Adult Emergency Departments (AED). This process presents the main burden for overall system operation due to its growing dynamics and the distributed organizational structure of hospitals. In order to determine the key performance indicators for the internal functioning of AED, we are building a workflow model based on the real patient pathway to direct the patients into the dedicated service while respecting the quality of care according to the expectations and requirements of the patient. Our approach is tested on a set of real database from AED of CHRU in Lille (France). Simulation results show that the proposed model can determine 3 keys performances indicators to optimize in order to improve the patient pathway in the AED.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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