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Use of Radio Frequency Identification to Establish Emergency Medical Service Offload Times

机译:使用射频识别来确定紧急医疗服务的卸载时间

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摘要

Emergency medical services (EMS) crews often wait for emergency department (ED) beds to become available to offload their patients. Presently there is no national benchmark for EMS turnaround or offload times, or method for objectively and reliably measuring this. This study introduces a novel method for monitoring offload times and identifying variance. We performed a descriptive, observational study in a large urban community teaching hospital. We affixed radio frequency identification (RFID) tags (Confidex Survivor (TM), Confidex, Inc., Glen Ellyn, IL) to 65 cots from 19 different EMS agencies and placed a reader (CaptureTech Weatherproof RFID Interpreter, Barcoding Inc., Baltimore, Maryland) in the ED ambulance entrance, allowing for passive recording of traffic. We recorded data for 16 weeks starting December 2009. Offload times were calculated for each visit and analyzed using STATA to show variations in individual and cumulative offload times based on the time of day and day of the week. Results are presented as median times, confidence intervals (CIs), and interquartile ranges (IQRs). We collected data on 2,512 visits. Five hundred and ninety-two were excluded because of incomplete data, leaving 1,920 (76%) complete visits. Average offload time was 13.2 minutes. Median time was 10.7 minutes (IQR 8.1 minutes to 15.4 minutes). A total of 43% of the patients (833/1,920, 95% CI 0.41-0.46) were offloaded in less than 10 minutes, while 27% (513/1,920, 95% CI 0.25-0.29) took greater than 15 minutes. Median times were longest on Mondays (11.5 minutes) and shortest on Wednesdays (10.3 minutes). Longest daily median offload time occurred between 1600 and 1700 (13.5 minutes), whereas the shortest median time was between 0800 and 0900 (9.3 minutes). Cumulative time spent waiting beyond 15 minutes totaled 72.5hours over the study period. RFID monitoring is a simple and effective means of monitoring EMS traffic and wait times. At our institution, most squads are able to offload their patients within 15 minutes, with many in less than 10 minutes. Variations in wait times are seen and are a topic for future study.
机译:急诊医疗服务(EMS)的工作人员通常会等待急诊科(ED)的病床可供其病人使用。当前,尚无关于EMS周转或卸载时间的国家基准,也没有客观,可靠地测量此方法的国家基准。这项研究介绍了一种监视卸载时间并识别差异的新颖方法。我们在一家大型城市社区教学医院进行了描述性观察研究。我们将射频识别(RFID)标签(Confidex Survivor(TM),Confidex,Inc.,格伦艾林,伊利诺伊州)粘贴到来自19个不同EMS机构的65张婴儿床上,并放置了读取器(CaptureTech防风雨RFID解释器,Barcoding Inc.,巴尔的摩,急救车入口处的马里兰州),可以被动记录交通情况。我们记录了从2009年12月开始的16周的数据。计算了每次访问的卸载时间,并使用STATA进行了分析,以显示基于一天中的时间和一周中的一天的单个和累积卸载时间的变化。结果以中位数时间,置信区间(CIs)和四分位间距(IQRs)表示。我们收集了2,512次访问的数据。由于数据不完整,排除了592个,剩下1,920个(76%)完整访问。平均卸载时间为13.2分钟。中位数时间为10.7分钟(IQR 8.1分钟至15.4分钟)。总共有43%的患者(833 / 1,920,95%CI 0.41-0.46)在不到10分钟的时间内就卸载了,而27%(513 / 1,920,95%CI 0.25-0.29)的患者花费了15分钟以上。中位数时间在星期一最长(11.5分钟),而在星期三最短(10.3分钟)。每天的中位卸载时间最长为1600至1700(13.5分钟),而最短的中位时间为0800至0900(9.3分钟)。在研究期间,等待15分钟以上所花费的累积时间总计为72.5小时。 RFID监视是监视EMS流量和等待时间的简单有效的方法。在我们的机构中​​,大多数小队都能够在15分钟内减轻患者负担,而许多人则只需不到10分钟。可以看到等待时间的变化,这是未来研究的主题。

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