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室内定位系统有助于深入了解急诊科系统,从而提出改进工作流程的设计方案。

Indoor positioning systems provide insight into emergency department systems enabling proposal of designs to improve workflow.

作者信息

Huguet Marius, Pehlivan Canan, Ballereau François, Dodane-Loyenet Antoine, Fontanili Franck, Garaix Thierry, Yordanov Youri, Augusto Vincent, Tazarourte Karim, Redjaline Abdesslam

机构信息

Mines Saint-Etienne, Univ Clermont Auvergne, INP Clermont Auvergne, CNRS, UMR 6158 LIMOS, Saint-Etienne, France.

IMT Mines Albi, IOS, Center of Industrial Engineering (CGI), Allée des Sciences, Albi, France.

出版信息

Commun Med (Lond). 2025 Mar 11;5(1):72. doi: 10.1038/s43856-025-00793-y.

Abstract

BACKGROUND

In this study, we implemented an indoor positioning system to track the activities of healthcare professionals during their shifts in an emergency department, aiming to gain a better understanding of the emergency care production process.

METHODS

An ultrawideband-based tracking system was used in an experiment at the emergency department of Le Corbusier Hospital in Firminy, France. Over a 46-day period, healthcare professionals, including assistant nurses, nurses, doctors, and managers, wore a sensor to record their location within the emergency department. We analyzed a substantial amount of quasi-real-time data to objectively assess physicians' time allocation and movement patterns and their correlation with the emergency department's occupancy. Additionally, we developed a user recognition algorithm (i.e., random forest classifier) capable of detecting the job category of the participant wearing the sensor.

RESULTS

The proportion of time spent on care-related activities ranges from 26% to 39% for doctors. In contrast, this share reaches approximately half of the time for triage nurses and intensive care unit nurses. The burden of non-care-related activities appears to be largely induced by the time spent on administrative duties and transit. For doctors, the share of non-care-related activities is found to be correlated with the occupancy level. The hourly distance walked by nurses (except triage nurses) is found to increase with occupancy, while for doctors, the walking distance remains invariant to patient load. The random forest classifier predicts job categories with 96% accuracy.

CONCLUSIONS

Indoor tracking systems offer additional perspectives for enhancing the understanding of emergency department systems. The technology tested in this study demonstrates its potential to quantify physicians' time allocation and movements.

摘要

背景

在本研究中,我们实施了一个室内定位系统,以跟踪医护人员在急诊科轮班期间的活动,旨在更好地了解急诊护理生产过程。

方法

在法国菲尔米尼的勒·柯布西耶医院急诊科进行的一项实验中,使用了基于超宽带的跟踪系统。在46天的时间里,包括助理护士、护士、医生和管理人员在内的医护人员佩戴传感器,记录他们在急诊科内的位置。我们分析了大量的准实时数据,以客观评估医生的时间分配和移动模式及其与急诊科占用情况的相关性。此外,我们开发了一种用户识别算法(即随机森林分类器),能够检测佩戴传感器的参与者的工作类别。

结果

医生用于护理相关活动的时间比例在26%至39%之间。相比之下,分诊护士和重症监护病房护士的这一比例达到了大约一半的时间。非护理相关活动的负担似乎主要是由行政职责和中转所花费的时间导致的。对于医生来说,发现非护理相关活动的比例与占用水平相关。护士(分诊护士除外)每小时行走的距离随着占用情况的增加而增加,而对于医生来说,行走距离与患者负荷无关。随机森林分类器预测工作类别的准确率为96%。

结论

室内跟踪系统为增强对急诊科系统的理解提供了额外的视角。本研究中测试的技术证明了其量化医生时间分配和移动的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a8/11897186/fa46e15e6246/43856_2025_793_Fig1_HTML.jpg

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