DISASTER MEDICINE No.1 •2023

https://doi.org/10.33266/2070-1004-2023-1

Original article

The Role of Urgent Medical Treatment Department in Conditions of a Massive Influx of Technogenic Emergencies Victims

Tsebrovskaya E.A. ¹, Teplov V.M. ¹, Klyukovkin K.S. ¹, Prasol D.M. ¹, Kolomoytsev V.V. ¹, Burykina V.V. ¹, Arkhangelskiy N.D. ¹, Ikhaev A.B. ², Bagnenko S.F. ¹, Kasymova O.A. ³

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¹ Pavlov First St. Petersburg State Medical University of the Ministry of Healthcare of Russia, St. Petersburg, Russian Federation

² Republican Ambulance Station, Groznyy, Russian Federation

³ State Research Center – Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency, Moscow, Russian Federation

UDC 613.86;614.88, 004.94

Pp. 42-45

Summary. Investigation purpose – a planning of stationary department of urgent medical treatment (SDUMT) work in conditions of massive influx of technogenic emergencies (ES) victims.

Methods and materials of the investigation. To make the virtual models of (SDUMT) the Flexsim HealthCare software was chosen. The software allows to conduct a processive modeling of predictable work. A work of two stationary urgent medical treatment departments was recreated. The first was SDUMT of university clinic of the First Saint-Petersburg state medical university (FSPAMU) named after academic I.P. Pavlov of Ministry of Health of Russia (model-1) with average (23±2 patients per day) patient influx. The second was SDUMT of city urgent medical treatment hospital №25 of the city of Volgograd (model 2) with average (145±3 patients per day) patient influx. In addition, a retrospective analysis of technogenic ES happened in 45 Russian subjects in 2017-2022 was conducted. A prognosis of specified SDUMT work in conditions of massive emergency victims influx was planned to conduct basing on the up written analysis.

Investigation results and their analysis. As a result of the experiments an optimal SDUMT staff was defined. The role of this staff in conditions of massive technogenic emergency victims influx was assessed.

Key words: imitational modelling, massive influx, stationary urgent medical treatment departments, technogenic emergencies, victims

Conflict of interest. The authors declare no conflict of interest

For citation: Tsebrovskaya E.A., Teplov V.M., Klyukovkin K.S., Prasol D.M., Kolomoytsev V.V., Burykina V.V., Arkhangelskiy N.D., Ikhaev A.B., Bagnenko S.F., Kasymova O.A. The Role of Urgent Medical Treatment Department in Conditions of a Massive Influx of Technogenic Emergencies Victims. Meditsina Katastrof = Disaster Medicine. 2023;1:42-45 (In Russ.). https://doi.org/10.33266/2070-1004-2023-1-42-45

 

REFERENCES

1. Palmov S.V. Review of Possibilities of Flexsim Imitation Modeling System in Healthcare. Mezhdunarodnyy Nauchno-Issledovatelskiy Zhurnal = International Research Journal. 2018;1:124–127 (In Russ.).
2. Yakimov I.M., Kirpichnikov A.P. Simulation Modeling of Probabilistic Objects in the Flexsim System. Vestnik Tekhnologicheskogo Universiteta = Herald of Technological Univerciti. 2016;19;21:170-173 (In Russ.).
3. Teplov V.M., Tsebrovskaya Ye.A., et al. The Use of Simulation Modeling to Optimize the Work of An Inpatient Emergency Department in a Multidisciplinary Hospital in the Context of a Medical Institution Re-Profiling to Receive Patients with a New Coronavirus Infection. Skoraya Meditsinskaya Pomoshch’ = Emergency Medical Care. 2020;21;4:11-16. https://doi.org/10.24884/2072-6716-2020-21-4-11-16 (In Russ.).
4. Teplov V.M., et al. Simulation of a Three-Level Emergency Medical Care System in the Chechen Republic. Skoraya Meditsinskaya Pomoshch’ = Emergency Medical Care. 2019;20;2:14-19 (In Russ.).
5. Tsebrovskaya Ye.A., et al. Using FlexSim Healthcare to Optimize the Work of an Inpatient Emergency Department. Imitatsionnoye Modelirovaniye. Teoriya i Praktika = Simulation Modeling. Theory and Practice (IMMOD-2017): Proceedings of the Eighth All-Russian Scientific and Practical Conference on Simulation and its Application in Science and Industry. St. Petersburg, October 18-20, 2017. St. Petersburg Publ., 2017. P. 592 (In Russ.).

 

The material was received 26.10.22; the article after peer review procedure 09.03.23; the Editorial Board accepted the article for publication 23.03.23