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STREMS: A Smart Real-Time Solution toward Enhancing EMS Prehospital Quality

机译:STREMS:增强EMS院前质量的智能实时解决方案

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Emergency medical service (EMS) systems are public services that provide quick response, transportation as well as appropriate emergency medical care to the emergent patient. For EMS, every second is critical. Unfortunately, current EMS systems have many challenges: lack effective communication between EMS providers and hospital professionals, less attention on care quality and limited resources of medical equipment and personnel. Motivated by this, in this paper, we explore the use of wearable sensing, smart mobile device as well as video technology to propose STREMS: an efficient smart real-time prehospital communication system for EMS. Specifically, we first introduce a cost-effective wearable physiological sensing solution to support multi-dimensional telemetry monitoring for an ambulance operating at as Basic Life Support, a type of EMS service level without sophisticated medical equipment or paramedics. Then we propose to build a cloud-based real-time data sharing platform, enabling automated streaming all gathered prehospital data (e.g., vital signs, EKG and image/short videos about accident scene) to the hospital prior to ambulance arrival, thus giving a more complete figure about the incoming patient. This can significantly decrease the handoff time and improve the efficiency at the hospital. Additionally, a live point to point video communication is proposed to support EMS telemedicine to enhance prehospital care quality through directly video conversation to assist EMS providers in consultation, triage, early medical examination and treatment. We implemented STREMS as an Android mobile app and evaluated its feasibility over the broadband cellular network in the city of Detroit. In a moving context, our results demonstrate STREMS can successfully deliver 100% of emergency data to the hospital in less than 1.5s, on average 0.75s for reporting a new case and 0.05s for health data. As the live video with 1280×720 pixel resolution, STREMS only works when the vehicle speed is less than 40MPH.
机译:紧急医疗服务(EMS)系统是为急诊患者提供快速响应,运输和适当的紧急医疗服务的公共服务。对于EMS,每一秒都是至关重要的。不幸的是,当前的EMS系统面临许多挑战:EMS提供商与医院专业人员之间缺乏有效的沟通,对护理质量的关注较少以及医疗设备和人员的资源有限。因此,本文探讨了可穿戴传感,智能移动设备以及视频技术的使用,以提出STREMS:一种用于EMS的高效智能实时院前通信系统。具体来说,我们首先介绍一种经济高效的可穿戴生理传感解决方案,以支持作为基本生命支持(一种没有复杂医疗设备或护理人员的EMS服务级别)的救护车进行多维遥测监控。然后,我们建议构建一个基于云的实时数据共享平台,使救护车到达之前能够自动将所有收集的院前数据(例如,生命体征,EKG和有关事故现场的图像/短视频)流式传输到医院,从而提供一个关于即将到来的病人的更完整的数字。这可以显着减少移交时间并提高医院效率。另外,提出了一种实时的点对点视频通信来支持EMS远程医疗,以通过直接视频对话来提高EMS的医疗质量,从而帮助EMS提供者进行咨询,分诊,早期医学检查和治疗。我们将STREMS实施为Android移动应用,并评估了其在底特律市宽带蜂窝网络上的可行性。在不断变化的情况下,我们的结果表明STREMS可以在不到1.5秒的时间内成功将100%的紧急数据发送到医院,报告新病例的平均时间为0.75s,而健康数据的平均时间为0.05s。作为具有1280×720像素分辨率的实时视频,STREMS仅在车速小于40MPH时才起作用。

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