Enhancing Healthcare Provision in Conflict Zones: Queuing System Models for Mobile and Flexible Medical Care Units with a Limited Number of Treatment Stations

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Author(s)

Anatoliy Litvinov 1 Dmytro Chumachenko 2,3,* Nataliia Dotsenko 4 Iryna Kadykova 4 Igor Chumachenko 4

1. Department of Computer Science and Information Technologies, O.M. Beketov National University of Urban Economy in Kharkiv, Kharkiv, 61101, Ukraine

2. Department of Mathematical Modelling and Artificial Intelligence, National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, 61070, Ukraine

3. Ubiquitous Health Technology Lab, University of Waterloo, Waterloo, N2L 3G5, ON, Canada

4. Department of Project Management in Urban Management and Construction, O.M. Beketov National University of Urban Economy in Kharkiv, Kharkiv, 61101, Ukraine

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2024.04.07

Received: 13 Oct. 2023 / Revised: 28 Dec. 2023 / Accepted: 9 Feb. 2024 / Published: 8 Aug. 2024

Index Terms

Mobile Medical Care Unit, Flexible Medical Care Unit, Treatment Station, War, Modeling, Simulation, Optimization

Abstract

We address the challenge of optimizing the interaction between medical personnel and treatment stations within mobile and flexible medical care units (MFMCUs) in conflict zones. For the analysis of such systems, a closed queuing model with a finite number of treatment stations has been developed, which accounts for the possibility of performing multiple tasks for a single medical service request. Under the assumption of Poisson event flows, a system of integro-differential equations for the probability densities of the introduced states has been compiled. To solve it, the method of discrete binomial transformations is employed in conjunction with production functions. Solutions were obtained in the form of finite expressions, enabling the transition from the probabilistic characteristics of the model to the main performance metrics of the MFMCU: the load factor of medical personnel, and the utilization rate of treatment stations. The results show the selection of the number of treatment stations in the medical care area and the calculation of the appropriate performance of medical personnel.

Cite This Paper

Anatoliy Litvinov, Dmytro Chumachenko, Nataliia Dotsenko, Iryna Kadykova, Igor Chumachenko, "Enhancing Healthcare Provision in Conflict Zones: Queuing System Models for Mobile and Flexible Medical Care Units with a Limited Number of Treatment Stations", International Journal of Information Technology and Computer Science(IJITCS), Vol.16, No.4, pp.96-104, 2024. DOI:10.5815/ijitcs.2024.04.07

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