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

IF 5.4 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Communications medicine Pub Date : 2025-03-11 DOI:10.1038/s43856-025-00793-y
Marius Huguet, Canan Pehlivan, François Ballereau, Antoine Dodane-Loyenet, Franck Fontanili, Thierry Garaix, Youri Yordanov, Vincent Augusto, Karim Tazarourte, Abdesslam Redjaline
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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.

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室内定位系统可深入了解急诊室系统,从而提出改进工作流程的设计方案。
背景:在本研究中,我们采用室内定位系统来追踪急诊科医护人员轮班期间的活动,旨在更好地了解急诊护理的生产过程。方法:采用超宽带跟踪系统在法国Firminy市勒柯布西耶医院急诊科进行实验。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疗保健专业人员佩戴了一个传感器来记录他们在急诊科的位置。我们分析了大量的准实时数据,以客观地评估医生的时间分配和运动模式及其与急诊科占用率的相关性。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:医生花在护理相关活动上的时间比例为26% ~ 39%。相比之下,分流护士和重症监护病房护士的这一比例约为一半。与护理无关的活动的负担似乎主要是由行政职责和过境所花费的时间引起的。对于医生而言,非护理相关活动的比例与占用水平相关。护士每小时步行距离(除分诊护士外)随占用率的增加而增加,而对于医生来说,步行距离与病人负荷保持不变。随机森林分类器预测工作类别的准确率为96%。结论:室内跟踪系统为加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运动的潜力。
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