Modeling the activities of medical organizations in the evacuation direction

Abstract

Increasingly, in various spheres of activity, specialists of management bodies use simulation tools to optimize the work of medical organizations of different levels and directions. It should be noted that in the available literature no information was found on the use of the described method for modeling the process of providing medical care simultaneously in several objects of the medical service with a description of their interaction. Simulation modeling makes it possible to assess the load both on individual stages and on the entire evacuation direction before the direct involvement of the forces and means of the medical service. The aim of the study was to create a system for analyzing and visualizing data used to optimize decision-making on the distribution of forces and means of the medical service in the evacuation direction using simulation modeling. We used literature data, schemes for deploying the stages of medical evacuation, timing of treatment and evacuation measures, the power and structure of the flows of the wounded and sick. Simulation modeling was carried out in the Anylogic software. The discrete-event model is built on the basis of the mathematical apparatus and calculation tasks that are used to assess the time indicators of the implementation of medical and evacuation measures. These include such parameters as the start time of medical care, the average waiting time for the provision of medical care to the wounded and sick in the queue, and other parameters. The simulation model makes it possible to display information about the load on individual units or stages, which makes it possible to quickly assess the total load on the direction and make a decision on the transfer of forces and means of the medical service to a more loaded section of the evacuation direction. The introduction of simulation modeling into the activities of the medical service of the Armed Forces of the Russian Federation will make it possible to efficiently control the quality of medical and evacuation measures in the entire evacuation direction (4 figures, 1 table, bibliography: 15 refs).

Keywords

discrete-event modeling / evacuation direction / flows of the wounded and sick / forecasting / medical organizations / medical service / patient

References

[1] Altayev AA, comp. Simulation modeling in the GPSS language. Ulan-Ude: VSGTU Publishing House; 2016. (In Russ.)

[2] Имитационное моделирование на языке GPSS / сост. А.А. Алтаев. Улан-Удэ: Изд-во ВСГТУ, 2016. 122 с.

[3] Matorin SI. Simulation modeling using a system-object approach. Moscow: Synergiya Publisher; 2015. (In Russ.)

[4] Маторин С.И. Имитационное моделирование с использованием системно-объектного подхода. М.: Синергия, 2015. 36 с.

[5] Boyev VD. Simulation of systems: textbook manual for applied bachelor’s degree. Moscow: Yurayt Publisher; 2017. (In Russ.)

[6] Боев В.Д. Имитационное моделирование систем: учеб. пособие для прикладного бакалавриата. М.: Юрайт, 2017. 253 с.

[7] Buslenko VN. Automation of simulation modeling of complex systems. Buslenko NP, ed. Moscow: Nauka Publisher; 1977. (In Russ.)

[8] Бусленко В.Н. Автоматизация имитационного моделирования сложных систем / под ред. и с послесл. Н.П. Бусленко. М.: Наука, 1977. 238 с.

[9] Bulygina OV, Emelyanov AA, Emelyanova NZ. Imitational modeling in economics and management: Textbook. Moscow: Infra-M Publisher; 2017. (In Russ.)

[10] Булыгина О.В., Емельянов А.А., Емельянова Н.З. Имитационное моделирование в экономике и управлении: Учебник. М.: Инфра-М, 2017. 447 c.

[11] Devyatkov VV, Vlasov SA, Devyatkov TV. Universal modeling environment for the development of simulation applications. Information technologies and computing systems. 2009;(2):5–12. (In Russ.)

[12] Девятков В.В., Власов С.А., Девятков Т.В. Универсальная моделирующая среда для разработки имитационных приложений // Информационные технологии и вычислительные системы. 2009. № 2. С. 5–12.

[13] Belevitin AB, Shelepov AM, Savchenko IF. Modeling of the organization of medical support. Vestnik Rossiyskoy voyenno-meditsinskoy akadtmii. 2013;(1):172–177. (In Russ.)

[14] Белевитин А.Б., Шелепов А.М., Савченко И.Ф. Моделирование организации медицинского обеспечения // Вестник Российской военно-медицинской академии. 2013. № 1. С. 172–177.

[15] Aliev TI. Fundamentals of modeling discrete systems. Saint Petersburg: Saint Petersburg State University ITMO Publishing House; 2016. (In Russ.)

[16] Алиев Т.И. Основы моделирования дискретных систем. СПб.: СПбГУ ИТМО, 2016. 363 c.

[17] Bolgarev DV. Possibilities of application of modeling of processes in the organization of medical and evacuation support. Izvestia of the Russian Military Medical Akademy. 2019;1(S1):56–58. (In Russ.)

[18] Болгарев Д.В. Возможности применения моделирования процессов в организации лечебно-эвакуационного обеспечения // Известия Российской военно-медицинской академии. 2019. № 1 (S1). С. 56–58.

[19] Pavlovsky YN, Belotelov NV, Brodsky YI. Simulation modeling: Textbook for students of higher educational institutions studying in the specialties of the direction of training “Applied Mathematics and Informatics”. Moscow: Akademiya Publisher; 2008. (In Russ.)

[20] Павловский Ю.Н., Белотелов Н.В., Бродский Ю.И. Имитационное моделирование: Учебное пособие для студентов высших учебных заведений, обучающихся по специальностям направления подготовки «Прикладная математика и информатика». М.: Академия, 2008. 234 с.

[21] Bakhvalov LA. Computer modeling: A long way to shining peaks. Computerra. 1997;217(40):26–36. (In Russ.)

[22] Бахвалов Л.А. Компьютерное моделирование: долгий путь к сияющим вершинам // Компьютерра. 1997. Т. 217, № 40. С. 26–36.

[23] Fisun AY, Lemeshkin RN, Borisov DN, et al. Information and analytical support of medical evacuation support with the help of informatization tools of the medical service of the armed forces of the Russian Federation. Prioritetnyye napravleniya razvitiya vserossiyskoy sluzhby meditsiny katastrof v sovremennykh usloviyakh (Priority directions of development of the All-Russian service of disaster medicine in modern conditions). Materials of the All-Russian Scientific and Practical Conference. 2019. P: 72–73. (In Russ.)

[24] Фисун А.Я., Лемешкин Р.Н., Борисов Д.Н., и др. Информационно-аналитическая поддержка лечебно-эвакуационного обеспечения с помощью средств информатизации медицинской службы Вооруженных сил Российской Федерации // Приоритетные направления развития Всероссийской службы медицины катастроф в современных условиях. Материалы Всероссийской научно-практической конференции. 2019. С. 72–73.

[25] Andreev VV, Vittikh VA, Batishchev SV. Methods and means of creating open multi-agent systems to support decision-making processes. Izvestiya RAS. Theory and control systems. 2013;(1): 126–137. (In Russ.)

[26] Андреев В.В., Виттих В.А., Батищев С.В. Методы и средства создания открытых мультиагентных систем для поддержки процессов принятия решений // Известия РАН. Теория и системы управления. 2013. № 1. С. 126–137.

[27] Bolgarev DV, Sivashchenko PP, Volkova YY, Babin YM. Possibilities of simulation modeling of a field medical organization. Izvestia of the Russian Military Medical Akademy. 2020;2(S1):31–32. (In Russ.)

[28] Болгарев Д.В., Сиващенко П.П., Волкова Я.Я., Бабин Ю.М. Возможности имитационного моделирования полевой медицинской организации // Известия Российской военно-медицинской академии. 2020. № 2 (S1). С. 31–32.

[29] Kushnirchuk II, Bolgarev DV, Noreyka DV. Modern information technologies as a tool for modeling the organization of mass medical care provision. Kooperatsiya nauki i obshchestva: problemy i perspektivy (Cooperation of science and society: problems and prospects). Collection of articles on the results of the international scientific and practical conference. 2020. Р: 11–13. (In Russ.)

[30] Кушнирчук И.И., Болгарев Д.В., Норейка Д.В. Современные информационные технологии как инструмент моделирования организации массового оказания медицинской помощи // Кооперация науки и общества: проблемы и перспективы. Сборник статей по итогам международной научно-практической конференции. 2020. С. 11–3.

RIGHTS & PERMISSIONS

Bolgarev D.V., Borisov D.N.