Cognitive telemedicine IoT technology for dynamically adaptive eHealth content management reference framework embedded in cloud architecture

Emerging telemedicine frameworks with dynamically adaptive content management systems deliver the proper information at the time and place, when and where it is needed. Aggregated telemedicine sensory data is customized and dynamically presented to the suitable recipient. Such systems and methods have already been in some way available for scientific and industrial application. This presented paper extends the underlying adaptive eHealth content management methodology to the coherent structural implementation of weighted majority voting algorithm. This cognitive human-machine interaction drives the targeted dynamically adaptive eHealth content management system in runtime mode. Telemedicine embraces information technology and telecommunication solutions for the sake of serving healthcare services at remote locations outside of the premises of classical medical institutions. These systems produce and process exponentially growing amount of sensory data. Moreover, they support real-time processing which requires a dynamically scalable and fault tolerant architecture. Utilizing cognitive services, the suitable methods determine the adequate system landscape delivering the suitable medical information from the collected body-sensory data. The underlying methodology utilizes correlation-data between different factors, thus invoking eHealth customizable cognitive content management system. The paper also demonstrates the corresponding sociotechnical environment, the applied cognitive infocommunicational methodologies and the related adaptive technological elements. Finally, the future improvement potential and also the challenges of the presented dynamically adaptive eHealth content management system are analyzed in the paper thoroughly.