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智能手机在紧急呼叫时自动定位的准确性——一项试点研究。

Accuracy of automatic geolocalization of smartphone location during emergency calls - A pilot study.

机构信息

University of Cologne, Medical Faculty and University Hospital Cologne, Department of Anaesthesiology and Intensive Care Medicine, Kerpener Str. 62, 50937 Cologne, Germany.

University of Cologne, Medical Faculty and University Hospital Cologne, Institute of Medical Statistics and Computational Biology, Kerpener Str. 62, 50937 Cologne, Germany.

出版信息

Resuscitation. 2020 Jan 1;146:5-12. doi: 10.1016/j.resuscitation.2019.10.030. Epub 2019 Nov 7.

Abstract

INTRODUCTION

Widespread use of smartphones allows automatic geolocalization (i.e., transmission of location data) in countless apps. Until now, this technology has not been routinely used in connection with an emergency call in which location data play a decisive role This study evaluated a new software automatically providing emergency medical service (EMS) dispatchers with a caller's geolocation. We hypothesized that this technology will provide higher accuracy, faster dispatching of EMS and a faster beginning of thoracic compressions in a cardiac arrest scenario.

MATERIAL AND METHODS

Approval from the local Ethics Committee was obtained. 108 simulated emergency calls reporting a patient in cardiac arrest were conducted at 54 metropolitan locations, which were chosen according to a realistic pattern. At each location, a conventional emergency call, with an oral description of the location, was given first; subsequently, another call using an app with automatic geolocation was placed. Accuracy of localization, time to location, time to EMS dispatch and time to first thoracic compression were compared between both groups.

RESULTS

The conventional emergency call was always successful (n = 54). Emergency call via app worked successfully in n = 46 cases (85.2%). Automatic geolocation was provided to EMS in all these n = 46 cases (100%). Deviation from estimated position to actual position was 1173.5 ± 4343.1 m for conventional and 65.6 ± 320.5 m for automatic geolocalization (p < 0.001). In addition, time to localization was significantly shorter using automatic geolocalization (34.7 vs. 71.7 s, p < 0.001). Time to first thoracic compression was significantly faster in the geolocalization group (83.0 vs. 122.6 s; p < 0.001).

CONCLUSIONS

This pilot study showed that automatic geolocalization leads to a significantly shorter duration of the emergency call, significantly shorter times until the beginning of thoracic compressions, and a higher precision in determining the location of an emergency.

摘要

引言

智能手机的广泛使用允许在无数应用程序中自动进行地理定位(即传输位置数据)。到目前为止,这项技术尚未在与紧急呼叫相关的情况下常规使用,在紧急呼叫中,位置数据起着决定性的作用。本研究评估了一种新的软件,该软件可自动向紧急医疗服务(EMS)调度员提供呼叫者的地理位置。我们假设,这项技术将提供更高的准确性,更快地调度 EMS,并在心脏骤停情况下更快地开始进行胸部按压。

材料与方法

获得了当地伦理委员会的批准。在 54 个大都市地点进行了 108 次模拟紧急呼叫,这些地点是根据实际情况选择的。在每个地点,首先进行了一次常规的紧急呼叫,口头描述了位置;然后,使用具有自动地理定位功能的应用程序进行了另一次呼叫。比较了两组之间的定位准确性,定位时间,EMS 派遣时间和首次胸部按压时间。

结果

常规紧急呼叫始终成功(n=54)。通过应用程序进行的紧急呼叫在 n=46 例(85.2%)中成功。在所有这些 n=46 例(100%)中,自动地理定位都提供给了 EMS。常规定位的估计位置与实际位置的偏差为 1173.5±4343.1m,自动地理定位的偏差为 65.6±320.5m(p<0.001)。此外,使用自动地理定位的定位时间明显缩短(34.7 vs. 71.7s,p<0.001)。地理定位组的首次胸部按压时间明显更快(83.0 vs. 122.6s;p<0.001)。

结论

这项初步研究表明,自动地理定位可显著缩短紧急呼叫的持续时间,显著缩短开始胸部按压的时间,并提高确定紧急情况位置的准确性。

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