Organization of Work on the Prevention of Common Colds and Infectious Diseases with the Involvement of ICT

Abstract

The article discusses the features of the organization of work on the prevention of colds and infectious diseases with the involvement of ICT. The author notes that due to the recent massive spread of coronavirus infection, specialists considered it necessary to turn to the potential of information technologies for the purpose of prevention, as well as providing timely necessary assistance to patients. The Internet of Things (IoT) is one of the most effective paradigms in an intelligent world in which artificial intelligence (AI) technologies, such as cloud computing and big data analysis, play a vital role, for example, in preventing the spread of a virus, the COVID-19 pandemic. Artificial intelligence and 5G technologies are developing by leaps and bounds, further strengthening the intellectual capabilities and connectivity of IoT applications, and traditional IoT is gradually being upgraded to become more powerful AI + IoT (AIoT). Their use is optimal, for example, from the point of view of remote screening and diagnosis of patients with COVID-19. Artificial intelligence technologies based on machine learning and deep learning have recently significantly upgraded medical equipment and changed the workflow with minimal contact with patients, so medical professionals can make clinical decisions more effectively, providing the best protection not only for patients, but also for specialists themselves