A model driven ontology-based architecture for supporting the quality of services in pervasive telemedicine applications

Advanced telemedicine systems based on ubiquitous computing need to be designed in order to deliver high quality of services at anytime and anywhere. The optimal management of the telemedical assistance process in emergency situations, taking into consideration different communication and material resources availability, is still a major problem in telemedicine. In this paper we propose an ontology-based architecture model enabling an intelligent pervasive telemedicine tasks management. The aim of this methodological approach is to optimize the messages exchange between the different actors who are geographically located in different environments, to assure high level of quality of services delivered by the healthcare providers and consequently enable a more rapid and reliable telemedical assistance, especially in case of emergency scenarios.