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

Linda Mhadhbi (1) , Jalel Akaichi (1) , Mohamed Hedi Karray (2) , Bernard Archimède (2)

1 Université de Tunis
2 LGP - Laboratoire Génie de Production

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.

Mots clés: Mobile physician; Emergency management; Ontology; Continuous k-Nearest Neighbors; Location-based services

Domaines: Intelligence artificielle [cs.AI]; Interface homme-machine [cs.HC]; Médecine humaine et pathologie

Linda Mhadhbi, Jalel Akaichi, Mohamed Hedi Karray, Bernard Archimède. Ontologies for location based services quality enhancement: the case of emergency services. 2015 Second International Conference on eDemocracy & eGovernment (ICEDEG), 2015, Quito, Ecuador. pp.90-97. ⟨hal-02359727⟩