[COVID-TECH AND DIGITAL TECHNOLOGIES IN FOREIGN AND RUSSIAN HEALTH CARE DURING THE NEW CORONAVIRUS INFECTION PANDEMIC].

The novel coronavirus infection (COVID-19) pandemic has become the biggest challenge to global and national health systems in the last 100 years. At the same time, the rapid spread of COVID-19, which required the introduction of quarantine measures, the need to maintain social distance and isolate the infected, spurred the development of information technology (IT). In healthcare, information technology has begun to play the role of support systems for various types of medical activities that have experienced a tremendous increase in workload. The use of modern information technologies in the fight against the consequences and spread of the pandemic has even acquired its own term - COVID-Tech. The article provides an overview of the achievements of COVID-Tech made in the world and in Russia since the beginning of the pandemic. Experts identify 6 main areas of application of information technologies in medicine during a pandemic: diagnostics and screening of COVID-19, search for treatment regimens for the disease and new drugs based on big data analysis, work with databases, their analysis and analytics (for example, creating maps of the spread of a pandemic virus SARS-CoV-2), monitoring social distancing, the spread of the disease, information support for the population during a global emergency, the use of telemedicine technologies in medical education and the use of robotic assistants. For each of the 6 areas, an overview of the developed technologies is presented. An assessment was made of the contribution of information technology to addressing urgent health issues during a period of increased workload.

[Data from the Russian Severe Asthma Registry (RSAR)].

AIM: Creation of the "Russian register of patients with severe asthma" and obtaining data on the population characteristics of patients with severe asthma (SA), the prevalence of SA phenotypes, treatment outcomes and the degree of disease control. MATERIALS AND METHODS: Observational non-interventional study, which consists in the data analysis obtained on the basis of registration cards of the Russian Register of Patients with Severe Bronchial Asthma, data collection in which was carried out on the Oracle XE platform. Statistical data processing was carried out using Power BI, PSPP and Microsoft Excel spreadsheets. RESULTS: The study included 4376 adult patients (mean age 60.613.5 years, 65% women) diagnosed with SA from 57 regions of Russia for the period from June 2018 to December 2021. T2 inflammation was detected in 94.8% of patients when determining blood eosinophils and IgE of blood serum; 69% of patients with SA corresponded to the allergic phenotype. 83.3% of patients had no control of BA and 53% had 1 or more exacerbations of BA per year. 8% of patients received systemic corticosteroids as a permanent therapy, while biologics 10.6%. CONCLUSION: The vast majority of adult patients with SA correspond to the T2 phenotype, have uncontrolled asthma with a high frequency of exacerbations and reduced lung function. A more favorable course of the disease was noted in patients receiving biological therapy, which requires appropriate measures to increase the possibility of access to this type of therapy.