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  4. Danilova L. V.

All articles by Danilova L. V.

    Management in healthcare
  • 2019 № 8 Modern management of medical organization based on the process approach in russian scientific publications

    The intensity and direction of development of the process approach in the management of medical organizations from the time of the first publications in the Russian literature to the present has been evaluated. 282 literary sources were studied, of which 235 were for managing a medical organization and 47 were papers that analyzed the construction of business processes in non-medical enterprises. It was found that to accelerate the pace of building business processes in medical organizations, it is necessary to use computer programs for building processes.

    Authors: Choloyan S. B. [11] Pavlovskaya O. G. [8] Sheenkova M. V. [7] Danilova L. V. [4] Ekimov A. K. [10] Baygazina E. N. [6] Dmitrieva I. V. [3]

    Tags: medical organization53 process approach7 quality management system9

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  • 2019 № 3 The formation of a new model of medical organization providing primary health care. Treatment of patients in the clinic: analysis and modeling

    As part of the formation of a new model of medical organization providing primary health care to children promising mathematical apparatus for management decision-making are Markov chain with estimates. The generation of models with different scenarios in the treatment of children in the clinic revealed that the activation of dispensary work leads to a decrease in both the number of visits for diagnostic and treatment purposes, as well as the total number of visits to the clinic. The experience of dispensary work will be replicated in other regions from 2019.

    Authors: Choloyan S. B. [11] Pavlovskaya O. G. [8] Sheenkova M. V. [7] Danilova L. V. [4] Ekimov A. K. [10] Baygazina E. N. [6] Dmitrieva I. V. [3]

    Tags: markov chains2 markov chains with assessments1 modeling of management decisions1 primary health care for children1 seeking medical care1

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  • 2019 № 2 Management of a medical organization based on Markov chains with grades

    Different aspects of management decision-making based on mathematical models have been actively examined in scientific papers over recent years. The mathematical apparatus of Markov chains with estimations is a perspective mathematical apparatus of management decision-making. The advantage of Markov chains with estimations is that the method adequately works with quantitative, as well as with qualitative data. The modelling based on Markov chains is a variation of imitational modelling using random number generators. Generating models with different scenarios allows to find a management decision that has the best characteristics of the required state of a medical organisation.

    Authors: Choloyan S. B. [11] Pavlovskaya O. G. [8] Sheenkova M. V. [7] Danilova L. V. [4] Ekimov A. K. [10] Baygazina E. N. [6]

    Tags: markov chains2 markov chains with estimations1 medical organisation management1 modelling management decisions1

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  • 2018 № 9 Influence of activity of the medical organization, providing medical assistance to children, on the economy of the region

    The analysis of 46 7122 entries in the medical information system of the organization for 2016 characterizing the treatment of children for the purpose of medical care, 9533 cases when the sheet can not work (SNW) was issued. The costs of territorial funds of compulsory medical insurance (CMI) and social insurance fund, an internal regional product for the treatment of a child, are estimated. It is established that the budget of the region loses 8,9 times more than the amount of CMI funds that was spent for the treatment of the child, if issued by the SNW. This requires active prophylactic measures for children.

    Authors: Choloyan S. B. [11] AEkimov. K. [1] Pavlovskaya O. G. [8] Sheenkova M. V. [7] Danilova L. V. [4]

    Tags: compulsory medical insurance18 compulsory social insurance1 gross domestic product1 payment of a disability certificate1 preventive measures for children1

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