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Trends and management
Reference:
Sipakov A.S., Fedorov M.V.
Support methods for administrative decisions, aimed to enhance the standards of living for the population
// Trends and management.
2015. № 2.
P. 138-146.
DOI: 10.7256/2454-0730.2015.2.14370 URL: https://en.nbpublish.com/library_read_article.php?id=14370
Методика поддержки принятия управленческих решений, направленных на повышение уровня жизни населения
Sipakov Aleksandr Sergeevich
PhD in Technical Science
Deputy Head at the Research Center of the Federal Department for Safe Storage and Destruction of Chemical Weapons
115487, Russia, Moscow, Sadovniki St., 4A
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gniiivm-s@yandex.ru
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Fedorov Maksim Viktorovich
PhD in Technical Science
Deputy Division Chief, Military Unit 32103
14309, Russia, Moscow Region, Krasnoznamensk, Base 32103
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max20031976@yandex.ru
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DOI: 10.7256/2454-0730.2015.2.14370
Received:
03-02-2015
Published:
22-05-2015
Abstract:
The subject of this study are the issues of synthesizing methodological support of reaching administrative decisions, aimed at improving the standards of living for the population, involving healthcare. The system of indicators, each describing a facet of welfare of citizens, and comprehensively characterizes their living standards (quantitative, quality and statistical indicators). The aggregation of those indicators into one integral indicator that allows to ensure proper decision-making, is a complex and important task. The methodology of this research is based on the theory of component-based spreadsheets of indicators hierarchy, soft calculations, quality of life measurements and health risk measurements. The verification of results is performed at the example of medical staff of hazardous industry objects. The novelty of this research is based on the development on decision-making support method for administrative decisions, which allows to substantiate decisions, and that defines it as a reliable tool that permits to substantiate feasibility, priority and efficiency of measures directed at quality of life enhancement for the population.
Keywords:
health risk management, integral index, milti-component spreadsheet, life qualimetry, group expertise, analytical network, personnel management, health care management, administrative decision-making, socio-economic system
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