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SIMULATION FOR OUTPATIENT MEDICAL ORGANIZATION MANAGEMENT Print
Tuesday, 01 August 2017

DOI: 10.21045/2071-5021-2017-56-4-7

1Shcherbakov S.M., 2,3Teplyakova E.D., 4Rumyantsev S.A., 4,5Vasilenok A.V.
1
Rostov State University of Economics
2
Rostov State Medical University
3
Municipal Childrens polyclinic 4 city of Rostov-on-Don
4
Pirogov Russian National Research Medical University
5
Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology

Contacts: Aleksandr Vasilenok, e-mail: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
Information about authors:
Shcherbakov S.M.,http://orcid.org/0000-0001-8001-0214
Teplyakova E.D., http://orcid.org/0000-0002-3585-7026
Rumyantsev S.A., http://orcid.org/0000-0002-7418-0222
Vasilenok A.V., http://orcid.org/0000-0003-0512-9949
Acknowledgments. The study had no sponsorship.
Conflct of interests. The authors declare no conflict of interest.

Abstract.Significance. The introduction of information technology into the work of medical organizations on different levels is one of the urgent tasks of health care system modernization. The simulation method allows to estimate labor costs for the execution of medical care processes and to find ways to increase productivity of the ambulatory medical organization work while conducting medical check ups.

Purpose of the study. Evaluation of the effectiveness of various options for automating the processes of conducting medical check ups and clinical examination in an ambulatory medical organization based on the use of simulation models to reduce the cost of resources.

Methods. Visual and simulation modeling of the processes of an ambulatory medical organization was carried out by means of the unified UML language.

Results of the study. A set of visual and imitation models of the process of medical check ups and clinical examination in an ambulatory medical organization is constructed allowing to visually reflect these processes at different levels of use of information technology and to quantify the labor costs for their implementation depending on the parameters of the ambulatory medical organization. As a result of the simulation experiment a comparative assessment of the labor costs of pediatricians, specialists, nurses and support medical personnel was carried out for five alternative ways of organizing the processes using medical information systems taking a pediatric ambulatory medical organization as an example. Basing on the results of the simulation experiment, decisions are taken on making changes in the organization of the processes that are most optimal for the specific tasks of the medical organization.

Conclusions. The application of the proposed methodology of visual and simulation modeling in the ambulatory medical organizations allows to estimate the labor costs of doctors, nurses and support medical personnel; to highlight the most time-consuming processes and operations; to find ways to improve efficiency, including through the use of information technology; to compare alternative ways of automation. The simulation modeling conducted in accordance with the proposed methodology demonstrates the possibility of its wide use to improve the management efficiency of an ambulatory medical organization of any organizational form.

Keywords: medical organization; business process; information systems; simulation; SIM-UML

References

  1. Voronova L.V., Gol'chevskiy Yu.V. Statisticheskoe modelirovanie v protsessakh upravlencheskogo ucheta na primere meditsinskogo podrazdeleniya vuza [Statistical modeling in management processes by the example of medical department of the university]. Vrach i informatsionnye tekhnologii 2014;(3): 46-57.(In Russian).
  2. Guliev Ya.I., Belyshev D.V., Mikheev A.E. Modelirovanie biznes-protsessov meditsinskoy organizatsii: klassifikatsiya protsessov [Modeling of business processes of health facility: classification of processes]. Vrach i informatsionnye tekhnologii 2015; (4): 6-13.(In Russian).
  3. D'yachenko V.G., Solokhina L.V., D'yachenko S.V. Upravlenie kachestvom meditsinskoy pomoshchi [Quality management of medical care]. Khabarovsk: GBOU VPO Dal'nevostochnyy gosudarstvennyy meditsinskiy universitet; 2012. 655 p. (In Russian).
  4. Ermakova S.E. Upravlenie biznes-protsessami v meditsinskoy organizatsii [Management of business processes in health facility]. Moscow: MAKS Press; 2009. 150 p. (In Russian).
  5. Kondrat'ev M.A. Metody prognozirovaniya i modeli rasprostraneniya zabolevaniy [Prognostic methods and the models of disease prevalence]. Komp'yuternye issledovaniya i modelirovanie 2013; 5(5): 863-882. (In Russian).
  6. Lebedev G.S., Pirogov M.V. Avtomatizirovannyy raschet tarifov na meditsinskuyu pomoshch' v ramkakh territorial'noy programmy obyazatel'nogo meditsinskogo strakhovanii [Automated calculation of tariffs for medical care within the frames of the regional mandatory health insurance program]. Informatsionno-izmeritel'nye i upravlyayushchie sistemy 2013; 11 (10): 32-41. (In Russian).
  7. Nepeyvoda N.N., Guliev Ya.I., Tsvetkov A.A. Metodika analiza i sinteza modeley biznes-protsessov v meditsinskoy organizatsii [Methods for analysis and synthesis of business process models in health facility]. Vrach i informatsionnye tekhnologii 2015; (4): 14-23. (In Russian).
  8. Ob utverzhdenii gosudarstvennoy programmy Rossiyskoy Federatsii "Razvitie zdravookhraneniya" [On approving Development of healthcare, the state program of the Russian Federation]. Postanovlenie Pravitel'stva RF ot 15 aprelya 2014 g., 294. [Online]. 2014 [cited 2016 Jun 23]. Available from: http://base.garant.ru/70643470/. (In Russian).
  9. Slobodskoy G.V., Khatkevich M.I., Shutova S.A. Optimizatsiya protsessa gospitalizatsii v meditsinskoy organizatsii tret'ego urovnya meditsinskoy pomoshchi s ispol'zovaniem protsessnogo podkhoda [Optimization of the hospitalization process in health facility of the third level of care with using a process approach]. Vrach i informatsionnye tekhnologii 2015; (4): 43-50. (In Russian).
  10. Stolbov A.P., Kuznetsov P.P., Mad'yanova V.V. Raschet zatrat na vypolnenie meditsinskoy uslugi na osnove resursnoy modeli [Calculation of the cost of medical service on the base of resource model]. Vrach i informatsionnye tekhnologii 2013; (1): 6-17. (In Russian).
  11. Teplyakova E.D., Shcherbakov S.M. Modelirovanie protsessov dispanserizatsii i profosmotrov v meditsinskoy organizatsii [Modeling of the prophylactic and professional medical examination processes in health facility]. Sovremennye problemy nauki i obrazovaniya [serial online]. 2015 [cited 2016 Jun 23]; (3). Available from: http://www.science-education.ru/ru/article/view?id=19067. (In Russian).
  12. Togunov I.A. Problemy imitatsionnogo modelirovaniya v upravlenii meditsinskoy deyatel'nost'yu [The problems of simulation modeling in management of medical activity]. Voprosy ekonomiki i upravleniya dlya rukovoditeley zdravookhraneniya 1998; (12): 48-51.(In Russian).
  13. Togunov I.A., Prokoshev V.G., Demidov K.V., Roshchin S.V. Metod imitatsionnogo modelirovaniya po optimizatsii finansirovaniya lechebno profilakticheskogo uchrezhdeniya v sisteme OMS [The method of simulation modeling for optimization of financing of medical and prevention facility within the frames of MHI]. Problemy sotsial'noy gigieny, zdravookhraneniya i istorii meditsiny 1999; (5): 50-52. (In Russian).
  14. Togunov I.A. Imitatsionnoe modelirovanie kak informatsionnaya tekhnologiya effektivnogo upravleniya otnosheniy sub"ektov sistemy zdravookhraneniya [Simulation modeling as an information technology for effective managing the relation between public health units]. Informatsionnye tekhnologii v zdravookhranenii 2001; (2-3): 28-29. (In Russian).
  15. Fedotov S.A., Meleshkov Yu.S., Stazhadze L.L. Printsip postroeniya imitatsionnykh modeley likvidatsii meditsinskikh posledstviy chrezvychaynykh situatsiy i dorozhno-transportnykh proisshestviy v krupnykh gorodakh [The principle to develop the simulation models for eliminating health consequences of emergencies and road accidents in large cities]. Kremlevskaya meditsina. Klinicheskiy vestnik 2012; (2): 56-58. (In Russian).
  16. Khubaev G.N. Shcherbakov S.M. Konstruirovanie imitatsionnykh modeley v ekonomike i upravlenii [The development of simulation models in economics and management]. Rostov-na-Donu: RGEU RINKh; 2009. 176 p. (In Russian).
  17. Khubaev G.N., Shcherbakov S.M., Rvantsov Yu.A. Sistema avtomatizirovannogo sinteza imitatsionnykh modeley na osnove yazyka UML SIM-UML [The system of automated synthesis of simulation models using UML SIM-UML language]. Svidetel'stvo ob ofitsial'noy registratsii programmy dlya EVM. 2009610414. Moscow: ROSPATENT, 2009. (In Russian).
  18. Barjis, J. Healthcare Simulation and its Potential Areas and Future Trends. SCSM&SMagazine 2011; 2(5):1-6.
  19. Barton P, Bryan S and Robinson S. Modeling in the economic evaluation of health care: selecting the appropriate approach. J Health Serv Res Pol. 9: 110118. (2004).
  20. Benneyan JC. An Introduction to Using Computer Simulation in Healthcare. Journal of the Society of Health Systems. 5(3):1-15.(1997).
  21. Chonde S, C. Parra and CJ Chang. 2013. Minimizing Flow-Time and Time-to-First-Treatment in an Emergency Department through Simulation. In Proceedings of the 2013 Winter Simulation Conference. Edited by R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, and M. E. Kuhl; 2374-2385. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
  22. Eldabi T., Paul R.J., Young T. Simulation modeling in healthcare: reviewing legacies and investigating futures. Journal of the Operational Research Society (2007) 58, 262270.
  23. Hall R, Belson D, Murali P, Dessouky M. Modeling patient flows through the healthcare system. Hall, R. ed., Patient Flow: Reducing Delay in Healthcare Delivery, International series in Operations Research & Management Science, 2006, Vol. 91. Springer, Newyork, NY, 1-44.
  24. Katsaliaki K., Mustafee N. Applications of simulation within the healthcare context. Journal of the Operational Research Society 2011; 62: 14311451.
  25. Kuljis, J., Paul, R.J. and Stergioulas, L.K. (2007). Can Health Care Benefit from Modeling and Simulation Methods in the Same Way as Business and Manufacturing Has? Proceedings of the 2007 Winter Simulation Conference. Henderson, S.G., Biller, G., Hsieh, M.-H., Shortle, J., Tew, J.D., Barton, R.R., eds., IEEE, Piscataway, NJ, 1449-1453.
  26. Longo F. Emergency simulation: state of the art and futer research guidelines. SCS M&S Mag. 2010; (4): 1-8.
  27. Marshall Deborah A. , Burgos-Liz Lina, IJzerman Maarten J. and others Applying Dynamic Simulation Modeling Methods in Health Care Delivery ResearchThe SIMULATE Checklist: Report of the ISPOR Simulation Modeling Emerging Good Practices Task Force.Value in Health.2015January; 18 (1): 5-16.
  28. Tako A. A., Robinson S., 2012. Is simulation in health different and is it more difficult? IN: Tjahjono, B., Heavey, C., Onggo, S. and van der Zee, D-J.(eds.). Proceedings of the Operational Research Society 6th Simulation Workshop (SW 2012), 27-28 March 2012, Worcestershire, England, pp. 92 - 101.
  29. 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.
  30. 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. International Workshop, Volume 2: 400 - 403 .
  31. Zeltyn Sergey, Marmor Yariv N, Mandelbaum Avishai and others Simulation-based models of emergency departments: Operational, tactical, and strategic staffing. ACM Trans. Model. Comput. Simul. 21, 4, Article 24 (September 2011), 25 pages.

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