Ontologies for location based services quality enhancement: the case of emergency services

Abstract

A good health rescue system is primarily based on a good emergency management. Therefore, physicians in general and mobile ones in particular have to react promptly and efficiently to save human lives and help people with serious or life-threatening conditions especially if they are called to treat them far from medical institutions. Taking effective and swift actions to reach the patient and/or the medical institution in time may help to reduce serious problems, and consequently improve the chances of patient cure and/or survival that present the primary concern of the physician. To overcome the emergency management limits of nowadays, this paper propose a medical assistance system based on ontologies that manage and exploit the large and rapidly growing volume of medical data in order to facilitate the on road decision making for the mobile physician. This work, more than determining the nearest health care institution, answers to the physician needs to distinguish whether the closest health care institution have the necessary medical resources (Equipments, services, staff etc.) and whether these resources are available to fulfill the patient needs.

A Semantics-Based Common Operational Command System for Multiagency Disaster Response

“…POLARISC is intended to enable a set of integrated services designed to support the ERs when responding to disasters. Among these services, the evacuation of victims facilitates the process of taking care of victims by finding as quickly as possible the appropriate healthcare institutions and reserving it according to the patient state (Mhadhb et al, 2015). The alert service aims to improve ways stakeholders respond to disasters by delivering emergency alerts and warnings to the public.…”

Location Context Ontology Model based on Ubiquitous Computing Environment

“…In [19] proposed a medical assistance system based on ontologies that manage and exploit the larger and rapidly growing volume of medical data in order to facilitate on the road decision making for the mobile physician. Ontology-based medical system allows finding out as quickly as possible the needed medical resources and reserves the most suitable health care institutions according to the patient state.…”