An Integrated Automated Method for Analyzing Occupational Health and Medical Provision under the Extreme Conditions of Industrial Activity
- 作者: Orlov O.I.1, Perevedentsev O.V.1, Mamonova E.Y.1, Levanov V.M.1
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隶属关系:
- Institute of Biomedical Problems, Russian Academy of Sciences
- 期: 卷 44, 编号 7 (2018)
- 页面: 819-823
- 栏目: Article
- URL: https://journals.rcsi.science/0362-1197/article/view/177938
- DOI: https://doi.org/10.1134/S0362119718070113
- ID: 177938
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详细
The paper presents an automated integrated analytical method developed for the assessment of medical information at a large industrial company organized into divisions and operating in different climatogeographic and ecological conditions, including unfriendly environments. The use of automatic means for data acquisition, aggregation, and analysis allows us to expand a set of indicators and increase the efficiency of decision making on optimization of processes and resource provision aiming to attain strategic goals of a medical provision system. We have developed a methodology for the organization and analysis of integrated indicators in a multilevel hierarchy, in which we proposed to use synthetic indicators characterizing different aspects of this medical provision system at each level of abstraction. The software package allows us to calculate and visualize integrated indicators characterizing employees’ health state and evaluate the quality of the medical provision system, whereas the use of geoinformation technologies makes it possible to represent the data with a spatial reference and solve logistics optimization tasks.
作者简介
O. Orlov
Institute of Biomedical Problems, Russian Academy of Sciences
Email: levanov53@yandex.ru
俄罗斯联邦, Moscow
O. Perevedentsev
Institute of Biomedical Problems, Russian Academy of Sciences
Email: levanov53@yandex.ru
俄罗斯联邦, Moscow
E. Mamonova
Institute of Biomedical Problems, Russian Academy of Sciences
Email: levanov53@yandex.ru
俄罗斯联邦, Moscow
V. Levanov
Institute of Biomedical Problems, Russian Academy of Sciences
编辑信件的主要联系方式.
Email: levanov53@yandex.ru
俄罗斯联邦, Moscow
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