Forecasting the Emergency Department Patients Flow.
Emergency department (ED) have become the patient's main point of entrance in modern hospitals causing it frequent overcrowding, thus hospital managers are increasingly paying attention to the ED in order to provide better quality service for patients. One of the key elements for a good management strategy is demand forecasting. In this case, forecasting patients flow, which will help decision makers to optimize human (doctors, nurses…) and material(beds, boxs…) resources allocation. The main interest of this research is forecasting daily attendance at an emergency department. The study was conducted on the Emergency Department of Troyes city hospital center, France, in which we propose a new practical ED patients classification that consolidate the CCMU and GEMSA categories into one category and innovative time-series based models to forecast long and short term daily attendance. The models we developed for this case study shows very good performances (up to 91,24 % for the annual Total flow forecast) and robustness to epidemic periods.
Institut Charles Delaunay, LOSI, Université de Technologie de Troyes UMR 6281, CNRS, 12 Rue Marie Curie, CS 42060, cedex, 10004, Troyes, France. mohamed.afilal@utt.fr.
Mohamed
M
Afilal
Institut Charles Delaunay, LOSI, Université de Technologie de Troyes UMR 6281, CNRS, 12 Rue Marie Curie, CS 42060, cedex, 10004, Troyes, France.
Farouk
F
Yalaoui
Institut Charles Delaunay, LOSI, Université de Technologie de Troyes UMR 6281, CNRS, 12 Rue Marie Curie, CS 42060, cedex, 10004, Troyes, France.
Frédéric
F
Dugardin
Institut Charles Delaunay, LOSI, Université de Technologie de Troyes UMR 6281, CNRS, 12 Rue Marie Curie, CS 42060, cedex, 10004, Troyes, France.
Lionel
L
Amodeo
Département d'Information Médicale, Centre Hospitalier de Troyes, 101 Avenue Anatole, 10000, Troyes, France.
David
D
Laplanche
Département d'Information Médicale, Centre Hospitalier de Troyes, 101 Avenue Anatole, 10000, Troyes, France.
Philippe
P
Blua
D017598:Efficiency, Organizational; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data*; D005602:France; D006301:Health Services Needs and Demand / Q000706:statistics & numerical data*; D006801:Humans; D015233:Models, Statistical; D011787:Quality of Health Care; D013997:Time Factors; D014218:Triage / Q000706:statistics & numerical data*; D014850:Waiting Lists
Emergency department flow; Forecasting; Patient classification; Time series