Algorithms for data modeling in the solution of hard-to-formalize social problems are considered in the paper. They are connected with the healthcare in terms of interconnections and interactions of territories of the Yenisei Siberia where the Krasnoyarsk Krai is the key region. Elements of information system for the analysis of the current state and estimation of the scenarios of future interaction of the territories of the Yenisei economic zone are considered to solve the problems. GIS technologies and modern approaches to model various data are described.

The paper is devoted to the development of tools for assessing the financial security of a region in order to form a strategy for the territorial development in the context of the interaction between the goals of sustainable socio-economic development and economic security. The paper considers the features of financial security assessment. The assessment was carried out by centralized and decentralized finance of a region. Taking into account the existing limitations of statistical observation at the level of municipalities, the composition of indicators and their threshold values used in assessing the financial security of a region was specified. The measurement was carried out in the context of six macro-districts according to three indicators: the average level of subsidization of local budgets of the macro-district; tax and non-tax revenues of local budgets per capita (coefficient of development of own revenues in local budgets); business efficiency ratio. An analysis of the dynamics and structure of subsidies for the period 2015 – 2020 shows that the main increase in subsidies falls on the Western and Southern macro-districts, the growth rate exceeds the average for the territory over the same period. There is a clear dynamics of development and improvement of the own revenues of local budgets of most macro-districts of the territory. There is a decrease in the business efficiency ratio in general in Krasnoyarsk Territory in 2020, due to the impact of the pandemic and lockdown.

Chronic heart failure is the final stage of the cardiovascular continuum, which is an important cause of disability and reduced life expectancy in developed countries. Optimal medical therapy recommended for patients with symptomatic HF and reduced left ventricular ejection fraction includes angiotensin-converting enzyme inhibitors (or angiotensin II receptor antagonists), beta-blockers and mineralocorticoid receptor antagonists. However, the use of optimal medical therapy does not always lead to the elimination of symptoms, improvement of the quality of life and functional capabilities of patients. Sakubitril/valsartan is a novel combination drug that includes the angiotensin II receptor blocker valsartan and the neprilisin inhibitor sacubitril. In a large PARADIGM-HF clinical trial it demonstrated a 20% reduction in cardiovascular mortality and hospitalization due to decompensation of heart failure compared with standard therapy with enalapril. We report a case of successful use of sacubitril/valsartan in a 61-year-old patient with dilated cardiomyopathy, chronic heart failure with reduced ejection fraction and ventricular arrhythmias. After 6 months of therapy, the patient achieved marked positive dynamics of the clinical status, laboratory and instrumental parameters in absence of any adverse reactions and complications.