Development of a system of mass monitoring special conditions V.A. Vasilchenko, V.L. Burkovsky

The relevance of the study is due to the high level of lung disease according to WHO. The annual mortality from chronic lower respiratory diseases is 3 million, and from lung cancer 1.7 million. According to information from the Ministry of Health of the Russian Federation, early diagnosis and planning of preventive measures based on it will significantly reduce the mortality rate from lung diseases and improve the quality of life of the population. To implement the tasks of mass processing of medical information, increase the effectiveness of treatment and prophylactic measures to detect lung diseases in the early stages, it is proposed to create a software package. The developed software makes it possible to assess the situation in the studied territorial area and monitor both the state of health and the effectiveness of measures taken.The article presents methods for automating the analysis of laboratory analysis data, as well as research data of a computer tomograph.The materials of the article are of practical value for medical institutions, allowing you to identify lung pathologies in the early stages, as well as for decision centers, where the quality of medical services is assessed by age and gender groups, both in each region individually and at the state level whole.

1. Vsemirnyy den' bor'by protiv khronicheskoy obstruktivnoy bolezni legkikh. Available at: https://www.rosminzdrav.ru/news/2015/11/18/2648-vsemirnyy-den-borby-protivhronicheskoy-obstruktivnoy-bolezni-legkih (accessed: 15.01.2020).

2. Pokhaznikova M.A., Lebedev A.K., Andreyeva Ye.A. i dr. Rasprostranennost' khronicheskoy obstruktivnoy bolezni legkikh po dannym spirometricheskogo issledovaniya sredi zhiteley Sankt-Peterburga. Vestnik sovremennoy klinicheskoy meditsiny. 2016;9(5):35-40. (In Russ)

3. Postnikova L.B., Kostrov V.A., Postnikova L.B., Boldina M.V., Zelyayeva N.V. Rasprostranennost' khronicheskoy obstruktivnoy bolezni legkikh v krupnom promyshlennom tsentre (Nizhniy Novgorod). Pulmonologiya. 2009;6(5):8. (In Russ)

4. 10 vedushchikh prichin smerti v mire. Available at: https://www.who.int/ru/newsroom/fact-sheets/detail/the-top-10-causes-of-death (accessed: 17.03.2020)

5. Vasilchenko VA, Burkovskiy VL, Danilov AD. Algorithmization of the process of recognition of states of living objects based on special x-ray images. Computer Optics 2019; 43(2): 296-303. DOI: 10.18287/2412-6179-2017-43-2-296-303.