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Article Dans Une Revue Studies in Health Technology and Informatics Année : 2022

Ontology for Overcrowding Management in Emergency Department.

Résumé

Emergency department (ED) overcrowding is an ongoing problem worldwide. Scoring systems are available for the detection of this problem. This study aims to combine a model that allows the detection and management of overcrowding. Therefore, it is crucial to implement a system that can reason model, rank ED resources and ED performance indicators based on environmental factors. Thus, we propose in this paper a new domain ontology (EDOMO) based on a new overcrowding estimation score (OES) to detect critical situations, specify the level of overcrowding and propose solutions to deal with these situations. Our approach is based on a real database created during more than four years from the Lille University Hospital Center (LUHC) in France. The resulting ontology is capable of modeling complete domain knowledge to enable semantic reasoning based on SWRL rules. The evaluation results show that the EDOMO is complete that can enhance the functioning of the ED.
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hal-04395470 , version 1 (15-01-2024)

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Khouloud Fakhfakh Maala, Sarah Ben Othman, Laetitia Jourdan, Grégoire Smith, Jean-Marie Renard, et al.. Ontology for Overcrowding Management in Emergency Department.. Studies in Health Technology and Informatics, 2022, Studies in Health Technology and Informatics, 290, pp.947-951. ⟨10.3233/SHTI220220⟩. ⟨hal-04395470⟩
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