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Impact of the automation of inpatient bed ...
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Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Permalink :
http://hdl.handle.net/20.500.12210/58097
Title :
Impact of the automation of inpatient bed management to reduce the emergency service waiting time
Author(s) :
Ajmi, Faiza [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
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]
Zgaya, Hayfa [Auteur] refId
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Smith, Gregoire [Auteur]
CHU Lille - Direction de la recherche et de l’innovation
Renard, Jean-Marie [Auteur] refId
CHU Lille - Direction de la recherche et de l’innovation
Hammadi, Slim [Auteur] refId
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Conference title :
MedInfo
City :
Virtual
Country :
France
Start date of the conference :
2021-10-02
English keyword(s) :
Inpatient bed management
patient pathway optimization
artificial intelligent for healthcare
hospital management
HAL domain(s) :
Informatique [cs]/Modélisation et simulation
English abstract : [en]
The patient waiting time to be transferred for hospitalization is the time that the patient waits between the decision to hospitalize and the actual admission to an inpatient hospital bed. One of the difficulties encountered ...
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The patient waiting time to be transferred for hospitalization is the time that the patient waits between the decision to hospitalize and the actual admission to an inpatient hospital bed. One of the difficulties encountered in qualifying waiting time for inpatient bed is the inability of hospital information systems to measure it. Hospitals in France have a specialized bed allocation team. This team must manage the bed allocation problem between different hospital departments using phone communication to assign patients to the adapted service. This kind of communication represents a lengthy additional workload in which effectiveness is uncertain. This paper presents a new approach to automate bed management in downstream service. For that, we have implemented algorithms based on artificial intelligent integrated in an inpatient web platform using IoT-Beacons, which is implemented to improve and facilitate the exchange of availability information of downstream beds within the Lille university hospital center (LUHC).Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
Submission date :
2021-12-04T02:01:04Z
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  • https://hal.archives-ouvertes.fr/hal-03462812/document
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