Healthcare systems in countries around the world are becoming more complex every year. The number of automated processes in the industry, the requirements for forecasting these processes, and the efficiency of managing the entire system are increasing with digital transformation. Simulation modelling allows us to imagine the state of processes under real conditions to identify the most important processes and operations. This article is devoted to the creation of an information model of the clinic, which contains the key parameters of the clinic’s activities.
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5. Eldabi T, Paul RJ, Young T. Simulation modeling in healthcare: reviewing legacies and investigating futures. Journal of the Operational Research Society. 2007; 58: 262-270.
6. Katsaliaki K, Mustafee N. Applications of simulation within the healthcare context. Journal of the Operational Research Society. 2011; 62: 1431-1451.
7. Marshall Deborah A, Burgos-Liz L, IJzerman MJ, et al. Applying Dynamic Simulation Modeling Methods in Health Care Delivery Research — The SIMULATE Checklist: Report of the ISPOR Simulation Modeling Emerging Good Practices Task Force. Value in Health. 2015; 18(1): 5-16.
8. Kondratiev MA. Simulation modeling in medicine: a multi-agent model of the spread of influenza. Сomputer tools in educat ion. 2011; 4: 32-36. ( In Russ ).
9. Parinov SI. New possibilities of simulation modeling of socio-economic systems. Artificial communities. 2007; 2(3-4): 26-61. (In Russ).
10. Shcherbakov SM, Teplyakova ED, Rumyantsev SA, Vasilenok AV. Simulation modeling in the tasks of managing an outpatient medical organization. Social aspects of public health. 2017; 56(4). (In Russ).
11. Karpov OE, Subbotin SA, Zamyatin MI, et al. Simulation modeling of the activity of a modern multidisciplinary medical institution. Bulletin of Plekhanov Russian University of Economics. 2018; 6(102): 57-66. ( In Russ ).
12. Guliyev YaI , Belyshev DV, Mikheev AE. Modeling of business processes of a medical organization: classification of processes. Doctor and information Technologies. 2015; 4: 6-13. (In Russ).
13. Borodulin AI, Tens BM, Shabanov AN, Yarygin AA. Statistical model of the epidemiological process. Siberian Journal of Industrial Mathematics. 2007; 10(2): 23-30. (In Russ).
14. Chonde S, Parra C, Chang CJ. Minimizing Flow-Time and Time-to- FirstTreatment in an Emergency Department through Simulation. In Proceedings of the 2013 Winter Simulation Conference. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.2013: 2374-2385.
15. Hall R, Belson D, Murali P, Dessouky M. Modeling patient flows through the healthcare system. Patient Flow: Reducing Delay in Healthcare Delivery, International series in Operations Research & Management Science. 2006; 91: 1-44.
16. Longo F. Emergency simulation: state of the art and futer research guidelines. SCS M&S Mag. 2010; 4: 1-8.
17. Tako AA, Robinson S. Is simulation in health different and is it more difficult? IN: Tjahjono B, Heavey C, Onggo S, van der Zee. Proceedings of the Operational Research Society 6th Simulation Workshop. 2012. 27-28 March 2012: 92 — 101.
18. White DL, Froehle CM, Klassen KJ. The effect of integrated scheduling and capacity policies on clinical efficiency. Prod. Oper. Manag. 2011; 20(3): 442-455.
19. Ying Su; Zhanming Jin. Modeling Transportation of Patients Following a Disaster with Simulation and System Dynamics. Education Technology and Training International Workshop on Geoscience and Remote Sensing. ETT and GRS. 2008; 2: 400-403.
20. Zeltyn S, Marmor YN, Mandelbaum A, et al. Simulation-based models of emergency departments: Operational, tactical, and strategic staffing. ACM Trans. Model. Comput. Simul. 2011; 21(24): 25.
21. Dvornichenko VV, Galchenko LI. Management of patients with radiation therapy of malignant tumors. Irkutsk : IGMU. 2015. Р.27. ( In Russ ).
22. Morov OV, Chernichenko AV, Khasanov RS. Availability of radiotherapy in modern conditions of specialized treatment of cancer patients. Oncology. The journal named after P. A. Herzen. 2016; 5(6): 65-70. (In Russ). doi : 10.17116/onkolog20165665-70. Accessed 01.06.2021.
For citation
Naygovzina N.B., Khayrullin I.I., Gabitova S.E., Shamanskiy M.B. Simulation modeling in the management of a medical organization. Medical doctor and information technology. 2021; 3: 74-83. (In Russ.). doi : 1025881/18110193_2021_3_74.
Keywords