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自动化住院床位管理对缩短急诊服务等待时间的影响。

Impact of the Automation of Inpatient Bed Management to Reduce the Emergency Service Waiting Time.

机构信息

Centrale Lille, Univ. Lille, UMR 9189 - CRIStAL, F-59000 Lille, France.

Emergency doctor in LUHC, Oscar Lambret, France.

出版信息

Stud Health Technol Inform. 2022 Jun 6;290:942-946. doi: 10.3233/SHTI220219.

DOI:10.3233/SHTI220219
PMID:35673158
Abstract

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).

摘要

患者住院等候时间是指患者在决定住院到实际入住住院病床之间的等候时间。在确定住院病床等候时间方面遇到的困难之一是医院信息系统无法对此进行衡量。法国的医院有专门的床位分配团队。该团队必须使用电话沟通来分配患者到适应的服务,从而管理不同医院部门之间的床位分配问题。这种沟通方式代表了冗长的额外工作量,其效果是不确定的。本文提出了一种新的方法来自动管理下游服务的床位。为此,我们实现了基于人工智能的算法,并将其集成到使用物联网信标的住院网络平台中,这是为了改善和促进里尔大学医院中心(LUHC)内下游床位可用性信息的交换而实施的。

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