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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 tension indicators and bottlenecks that contribute to overcrowding. 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 enough retailed to produce an analysis allowing to identify the dysfunctions of the PED and also to propose and to estimate prevention indicators of tensions. Our survey is integrated into the French National Research Agency project, titled: " Hospital: optimization, simulation and avoidance of strain " (ANR HOST) 1. 1 ANR-11-TecSan-010 2
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Soumis le : lundi 5 mars 2018 - 11:05:37
Dernière modification le : mercredi 22 avril 2020 - 11:36:02
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  • HAL Id : hal-01713635, version 1


Inès Ajmi, Hayfa Zgaya, Lotfi Gammoudi, Slim Hammadi, Alain Martinot, et al.. Mapping patient path in the Pediatric Emergency Department: A workflow model driven approach. IEEE Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers, 2014. ⟨hal-01713635⟩



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