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An Experimental Study of Personalized Mobile Assistance Service in Healthcare Emergency Situations

Authors:
Alexander Borodin
Nikolay Lebedev
Andrew Vasilyev
Yulia Zavyalova
Dmitry Korzun

Keywords: healthcare; medical emergency; m-Health; personalized assistance service; smart spaces; Internet of Things; Smart-M3; performance evaluation

Abstract:
Chronic diseases currently account for most deaths in the world. Despite the fact that these illnesses are generally incurable, they are often preventable and manageable, and concomitant risks are reducible. In particular, acute out-of-hospital complications of the chronic conditions can pose a threat to health and life. Nevertheless, in the case of early detection and timely treatment the remote patient has a good chance to survive. The success of the early management and resuscitation is directly related to the arrival time of the emergency medical services. In our approach, a mobile health (m-Health) service is introduced to healthcare. The service supports involvement of trained volunteers to first aid and resuscitation, dispatching them depending on the proximity to the patient, and provide a guidance. Our design concept of this service is heavily relies upon the smart spaces paradigm, namely, the personalized assistance in medical emergencies is delivered to mobile participants operated in networked environment as a result of knowledge reasoning over the shared information. In this paper, we study the architecture and key features of the service and its smart m-Health space. We experimentally evaluate the Smart-M3 based implementation to analyze the feasibility and applicability of such mobile information services for the case of medical emergencies.

Pages: 178 to 183

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-505-0

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016