title: Mapping patient path in the Pediatric Emergency Department: A workflow model driven approach.
abstract: The workflow models of the patient journey in a Pediatric Emergency Department (PED) seems to be an effective approach to develop an accurate and complete representation of the PED processes. This model can drive the collection of comprehensive quantitative and qualitative service delivery and patient treatment data as an evidence base for the PED service planning. Our objective in this study is to identify crowded situation indicators and bottlenecks that contribute to over-crowding. The greatest source of delay in patient flow is the waiting time from the health care request, and especially the bed request to exit from the PED for hospital admission. It represented 70% of the time that these patients occupied in the PED waiting rooms. The use of real data to construct the workflow model of the patient path is effective in identifying sources of delay in patient flow, and aspects of the PED activity that could be improved. The development of this model was based on accurate visits made in the PED of the Regional University Hospital Center (CHRU) of Lille (France). This modeling, which has to represent most faithfully possible the reality of the PED of CHRU of Lille, is necessary. It must be detailed enough to produce an analysis allowing to identify the dysfunctions of the PED and also to propose and to estimate prevention indicators of crowded situations. Our survey is integrated into the French National Research Agency (ANR) project, titled: "Hospital: Optimization, Simulation and avoidance of strain" (HOST).
authors.affiliation: LAGIS UMR CNRS 8219, Ecole Centrale de Lille, France. Electronic address: ines.ajmi@ec-lille.fr.
authors.forename: Ines
authors.initials: I
authors.lastname: Ajmi
authors.affiliation: EA2694 University Lille 2, France. Electronic address: hayfa.zgaya@univ-lille2.fr.
authors.forename: Hayfa
authors.initials: H
authors.lastname: Zgaya
authors.affiliation: LAGIS UMR CNRS 8219, Ecole Centrale de Lille, France. Electronic address: lotfi.gammoudi@ec-lille.fr.
authors.forename: Lotfi
authors.initials: L
authors.lastname: Gammoudi
authors.affiliation: LAGIS UMR CNRS 8219, Ecole Centrale de Lille, France. Electronic address: slim.hammadi@ec-lille.fr.
authors.forename: Slim
authors.initials: S
authors.lastname: Hammadi
authors.affiliation: PED of CHRU Lille, France. Electronic address: alain.martinot@chru-lille.fr.
authors.forename: Alain
authors.initials: A
authors.lastname: Martinot
authors.affiliation: EA2694 University Lille 2, France. Electronic address: regis.beuscart@univ-lille2.fr.
authors.forename: Régis
authors.initials: R
authors.lastname: Beuscart
authors.affiliation: EA2694 University Lille 2, France. Electronic address: jean-marie.renard@univ-lille2.fr.
authors.forename: Jean-Marie
authors.initials: JM
authors.lastname: Renard
mesh_terms: D002648:Child; D019091:Critical Pathways; D004636:Emergency Service, Hospital; D006801:Humans; D008490:Medical Informatics; D008962:Models, Theoretical; D010372:Pediatrics; D014584:User-Computer Interface; D057188:Workflow
keywords: Crowding indicators; Modeling; PED; Peak of activity; Workflow