Abstract

In recent years, the UK’s emergency call and response has shown elements of great strain as of today. The strain on emergency call systems estimated by a 9 million calls (including both landline and mobile) made in 2014 alone. Coupled with an increasing population and cuts in government funding, this has resulted in lower percentages of emergency response vehicles at hand and longer response times. In this paper, we highlight the main challenges of emergency services and overview of previous solutions. In addition, we propose a new system call Smart Hospital Emergency System (SHES). The main aim of SHES is to save lives through improving communications between patient and emergency services. Utilising the latest of technologies and algorithms within SHES is aiming to increase emergency communication throughput, while reducing emergency call systems issues and making the process of emergency response more efficient. Utilising health data held within a personal smartphone, and internal tracked data (GPU, Accelerometer, Gyroscope etc.), SHES aims to process the mentioned data efficiently, and securely, through automatic communications with emergency services, ultimately reducing communication bottlenecks. Live video-streaming through real-time video communication protocols is also a focus of SHES to improve initial communications between emergency services and patients. A prototype of this system has been developed. The system has been evaluated by a preliminary usability, reliability, and communication performance study.

Highlights

  • Improving the efficiency of healthcare and biomedical-systems is one of the considerable goals of our modern society

  • Smart Hospital Emergency System (SHES) consist of a mobile based application connected to the hospital platform, which will respond to patients enquiries and ambulance services requests

  • SHES app built with Android Studio IDE which comes with a builtin Android Virtual Device (AVD) emulator, which allow to test the functionality of the app across different types of Android devices

Read more

Summary

Introduction

Improving the efficiency of healthcare and biomedical-systems is one of the considerable goals of our modern society. Despite the rapid increase in technology, finding where and when someone in an emergency is still an outstanding problem [25] This open problem needs additional dedicated work to be resolved, due to the fact that unless an actual caller is able to tell the emergency call operator where they are, the best that can be done is to narrow down the patient’s location to a small area of a few square miles to be searched. In a standard emergency call, operators will ask three main questions to callers in this order, “What service is required?”, “Where are you calling from?” and “What is your emergency?” [18] Each of these questions pose problems for the operator if patients cannot give an accurate answer, for instance, if patients cannot provide their location or condition, the operator will not be able to send the correct personnel to correct location, the source of much wasted time.

Background and related research
Emergency call systems
Call system issues
Related work
Proposed SHES system
Theory of SHES
SHES architecture
SHES prototype implementation
Result and evaluation
Ambulance requesting
Video communication
E-health data monitors
Findings
Conclusion and future work
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call