Incorporating RTLS-Based Spatiotemporal Information in Studying Physical Activities of Clinical Staff.
Incorporating RTLS-Based Spatiotemporal Information in Studying Physical Activities of Clinical Staff.
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将基于 RTLS 的时空信息纳入研究临床人员的身体活动。
DOI：
10.1109/embc46164.2021.9630597
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Pasupathy,KalyanS
中科院分区：
文献类型：
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作者：
Enayati,Moein;Farahani,NasibehZanjirani;Chaudhry,AlishaP;Kapoor,Anoushka;Arunachalam,Shivaram;Walker,LauraE;Nestler,David;Pasupathy,KalyanS
在紧张的医院环境（如急诊科）工作的临床医生和工作人员每天都承受着大量的精神和身体压力。他们可能会花费数小时的体力活动来为严重受伤的患者服务，或者呆在电脑前查看患者的临床病史并更新患者的电子健康记录（EHR）。另一方面，护士可以连续工作9-12个小时。压力太大了，他们通常会休息几天来恢复失去的能量。这两种极端情况下的低和高的体力活动显示影响身体和心理健康的临床医生，甚至可能导致疲劳和倦怠。在本研究中，首次使用实时定位系统（RTLS）来研究临床医生施加的身体活动量。传统上，RTLS系统用于医院环境中定位人员和设备，而我们提出的方法将时间和位置信息结合在一起，以估计持续时间、长度、以及医院病房（如急诊科）内的运动速度。这也是我们利用非可穿戴设备测量急诊科内久坐行为的第一步。这些信息有助于评估护理团队的工作量，并确定降低工作表现下降、疲劳和倦怠风险的方法。我们使用了一年的原始RFID数据，涵盖了38名医生、13名住院医生、163名护士、33名急诊科员工的活动记录。我们将行走路径定义为连续的运动和停止序列，并为每个人确定了每天单独的行走路径。然后对每条步行路径的步行时间、距离和速度、步数和久坐行为的持续时间进行估计。我们将我们的结果与文献报道的值进行了比较，结果表明，尽管RTLS的空间分辨率较低，但我们的非侵入性估计与Fitbit或其他可穿戴计步器测量的结果非常接近。临床相关性-在动态的医疗服务空间中充分评估工作量在确保安全和最佳的医疗服务方面发挥着重要作用。能够在日常工作中持续测量身体活动的系统可以为各种目的提供宝贵的信息，包括对久坐行为的自动评估和工作压力的早期检测。这样的系统可以帮助促进有针对性地改变工作人员的数量和轮班时间，从而为临床医生和患者创造一个更安全、更健康的环境。
Clinicians and staff who work in intense hospital settings such as the emergency department (ED) are under an extended amount of mental and physical pressure every day. They may spend hours in active physical pressure to serve patients with severe injuries or stay in front of a computer to review patients' clinical history and update the patients’ electronic health records (EHR). Nurses on the other hand may stay for multiple consecutive days of 9-12 working hours. The amount of pressure is so much that they usually end up taking days off to recover the lost energy. Both of these extreme cases of low and high physical activities are shown to affect the physical and mental health of clinicians and may even lead to fatigue and burnout.In this study Real-Time location systems (RTLS) are used for the first time, to study the amount of physical activity exerted by clinicians. RTLS systems have traditionally been used in hospital settings for locating staff and equipment, whereas our proposed method combines both time and location information together to estimate the duration, length, and speed of movements within hospital wards such as the ED. It is also our first step towards utilizing non-wearable devices to measure sedentary behavior inside the ED. This information helps to assess the workload on the care team and identify means to reduce the risk of performance compromise, fatigue, and burnout.We used one year worth of raw RFID data that covers movement records of 38 physicians, 13 residents, 163 nurses, 33 staff in the ED. We defined a walking path as the continuous sequences of movements and stops and identified separate walking paths for each individual on each day. Walking duration, distance, and speed, along with the number of steps and the duration of sedentary behavior, are then estimated for each walking path. We compared our results to the values reported in the literature and showed despite the low spatial resolution of RTLS, our non-invasive estimations are closely comparable to the ones measured by Fitbit or other wearable pedometers.Clinical Relevance— Adequate assessment of workload in a dynamic care delivery space plays an important role in ensuring safe and optimal care delivery [7]. Systems capable of measuring physical activities on a continuous basis during daily work can provide precious information for a variety of purposes including automated assessment of sedentary behaviors and early detection of work pressure. Such systems could help facilitate targeted changes in the number of staff, duration of their working shifts leading to a safer and healthier environment for both clinicians and patients.