No abstract

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.

The recent developments in ambient intelligence and ubiquitous computing offer new opportunities for the design of advanced Telemedicine systems providing high quality services, anywhere, anytime. In this paper we present an approach for building an ontology-based task-driven telemedicine system. The architecture is composed of a task management server, a communication server and a knowledge base for enabling decision makings taking account of different telemedical concepts such as actors, resources, services and the Electronic Health Record. The final objective is to provide an intelligent management of the different types of available human, material and communication resources.

Pervasive Telemedicine is an emerging research discipline, which focuses on the development and the application of ubiquitous computing technology for healthcare purposes. However, the current telemedicine systems lack to be self adaptable to handle different types of data such as vital biosignals, images, video and textual data. In addition, they do not use the full capabilities of the computing devices on which they run. Unfortunately, the existing telemedicine systems do not pay enough attention to the quality level of their offered services nor offer adequate resources management for meeting bandwidth and end-to-end communication delays. In this paper we propose an information and communication architecture of a generic telemedicine system based on a knowledge base and intelligent agents interacting each with the other in a synergetic way to perform several medical tasks for a high level of quality of service (QoS). The medical assistance to skiers and high mountains resorts residents will be used in particular as an example of applicability scenario and models personalization.