English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This article deals with the assessment of the situation in the Russian Federation healthcare. To solve the problem, a fuzzy model has been built, which maps fuzzy data of the public opinion polls conducted by Russian Public Opinion Research Centre (VCIOM) into the clear number, expressing the immense assessment of the poll result. Modelling revealed a very negative trend in the research area; the trend has been developing since 2014. The main reasons of the current situation are a dramatic reduction of medical institutions, erroneous legal regulation and personnel policy. The methodology and vision statement of the major mechanisms have been proposed, which are helpful in solving the problems in the field of the Russian Federation healthcare. Introduction One of the urgent issues of Russia in the field of healthcare is to shape an adequate policy aimed at providing the quality and availability of medical services. There are quite a few studies in this area, which are devoted to the assessment of the given indices. Statutes and regulations are also available [1-4]. Techniques described in the studies and documents rely on some system of criteria, which are used for assessing medical service quality and availability. Such approach is sure to be helpful in identifying the problems in the system. Nevertheless, the synthesis of integral estimation based on this approach does not always give proper results. The explanation of the fact is that when ranking the criteria system, it is rather problematic to define the criteria weight coefficients. The matter is that different people in various life situations and in various moods give different estimations of indicator and condition importance. The problem is solved by sociological survey of public opinion when the respondents have to give the general assessment of the healthcare system. Estimating this system common people think of the quality and availability of medical services or, in terms of system analysis, system output. Russian Public Opinion Research Center (VCIOM) and other similar research institutions conduct such polls regularly. In view of this, there is an urgent problem of developing the model of the public opinion interpretation based on sociological data. It is also important to analyze and explain the dynamics of ongoing changes in the healthcare system of the Russian Federation. Methodology Methodology of the ongoing research relies on the theory of fuzzy logic and fuzzy sets; this being explained by the character of the data analyzed. In this paper poll results (see Table 1) [5, 6] are represented in the form of fuzzy sets where each linguistic variable corresponds to the percentage of the voters. According to Andrzej Piegat’s study [7], there are two kinds of uncertainties: stochastic and lexical. It could seem that the poll results must be associated with the first kind of uncertainties. But in practice the stochastic uncertainties can not be accepted for the assessment of the fact that the quality of medical service in Russia is completely satisfactory with the probability of 15% (as an example).They rather demonstrate the fuzziness in the evaluation of this or that indicator by society as a whole.

Analysis of RF Healthcare System Development Based on Fuzzy Public Opinion Modelling