A knowledge model driven solution for web-based telemedicine applications

Building knowledge-based telemedicine systems to deliver high quality services is still a challenge. The availability and capability of different human, communication and material resources play an important role in the telemedical task management process especially in emergency scenarios. In this paper we propose a knowledge model enabling intelligent, ubiquitous telemedicine tasks management. The objective of this model is to support the quality of telemedical services delivered by web-based telemedicine applications. The methodology is based on a telemedicine tasks ontology representing the concepts and their interrelations, and on a set of rules that shall be applied by a Reasoner for decision making. This architecture design shall optimize the messages exchange among the different actors in the telemedicine systems, consequently providing more rapid and reliable telemedicine assistance.