A SYSTEM OF COGNITIVE MONITORING OF A PATIENT'S CONDITION IN A TELEMEDICINE NETWORK

Abstract

The paper proposes an approach to the creation of a network of cognitive monitoring of a patient's condition in a telemedicine network. According to the World Health Organization, there are a large number of patients in the world who require constant monitoring of their condition. It is practically impossible to ensure control over the condition of these people through constant visits to medical institutions. However, today, thanks to the use of information and communication technologies, the concept of the Internet of things, it has become possible to solve this problem by creating a telemonitoring system. An urgent issue for this telemedicine monitoring system is not only monitoring the patient’s condition, but also the ability to predict changes in his condition, which can be solved by combining modern ICT and cognitive technologies. The article identifies the main tasks of the cognitive network monitoring system and its propsed architecture. A model of prognostic analytics is developed, and procedures for cognitive monitoring of indicators of the patient's condition are formalized. The proposed approach to cognitive monitoring allows not only the ability to monitor the current state of the patient, but also to predict his condition in order to prevent the occurrence of emergency situations. An algorithm for choosing the optimal IoT platform for the implementation of a cognitive network monitoring system in telemedicine is presented. The solution proposed in this work is a relevant example of the fact that cognitive technologies are able to significantly change a number of functioning processes of modern information and communication networks.