Development of State Digital Platforms: A Methodological Toolkit for Analysing the Attainment of Regional Health Care Systems’ Target Indicators

The introduction of digital healthcare platforms has had a positive impact on the accessibility of the healthcare system among the population and increased the efficiency of state control over the healthcare of society. But like any evolution, this digital progress has a number of imperfections. In particular, digital methods for automated monitoring of the achievement of regional healthcare systems target indicators for the purpose of operational supervision and taking timely measures in the public health maintenance of certain territories are practically absent. The aim of the work is to develop a methodological toolkit for automated analysis of the achievement of regional health systems target indicators across state digital platforms. The proposed methodology is based on the author's system of indicators, the automated calculation of which will allow monitoring the effectiveness of health care systems in selected regions in real-time, as well as to take timely measures to maintain and protect public health, to form strategies in the development of regional health care systems. The object of the study is the regional health care system of the Russian Federation. The application of the proposed methodological tools makes it possible to rank the territories by the level of values of complex standardized indicators, taking into account financial conditions, resources, and markers for achieving target indicators. Automated monitoring of these indicators allows us to determine the types of strategies for the development of the healthcare system in selected regions. The proposed approach to monitoring the performance of regional healthcare systems will facilitate the development and enhancement of strategies for their progress, aiming to ensure high standards of quality of life among the population

Digital Techniques Share Price Modeling based on a Time-varying Walrasian Equilibrium under Exchange Processes in the Financial Market

This paper aims to develop an analytical theory of share pricing in a financial market environment. The proposed approach corresponds to an actual auction mechanism in which an electronic stock exchange terminal processes real-time data. The theoretical framework is based on the microeconomic model of an individual investor’s net demand. Equity resources and resources of “free” capital (exchanged for shares) owned by traders and the investors’ perception of the structure of the target portfolio are considered the initial variables of the model. The model differs from the classical theory of asset pricing in its notion of fundamental variables. The relations derived for the aggregated net demand in the stock market describe share pricing as a market exchange that results in the Walrasian equilibrium approximation. The authors offered an appropriate econometric technique for estimating the parameters of instantaneous aggregated net demand. The developed approach was tested using the Walrasian equilibrium concept, which demonstrated that the modeled share price corresponded with the observed share price for the Russian financial market. As an example, the authors presented the results of the investment strategy based on the developed approach for the Russian financial market during the 2008–2009 crash. The authors based their approach on identifying the expectations of the stock market participants through an analysis of high-frequency trading platform information. The microeconomic model describes the motives of traders for placing limit orders in the stock market and associates the price and volume of a particular limit order within the parameters of the capital capacity of the net demand of the trader. The application of the algorithm allows for the monitoring of the financial market situation and reveals the market expectations of traders based on the analysis of information transmitted by an order book of a trading platform