Research of information-analytical aspects for optimization of the health care institutions

Authors

DOI:

https://doi.org/10.15587/2312-8372.2019.191913

Keywords:

quality medical services, information and analytical support, medical personnel, customer-oriented optimization.

Abstract

The health sector is a priority in the national dimension. The availability and quality of medical services depends on the effectiveness of the functioning of the network of health care institutions. Optimization of the activities of health facilities in order to meet the needs of the population in medical services is an urgent task. The development and implementation of information technology in the processes of managerial decision-making in this case will increase their effectiveness.

The object of research is the processes of informational and analytical support for making managerial decisions on customer-oriented optimization of the activities of health care institutions in the face of uncertainty. Such support is necessary to ensure effective analysis of the available data, taking into account situational and informational uncertainty, and forming on the basis of this set of effective solutions. The peculiarity of this problem is that when solving it, it is necessary to analyze and draw conclusions based on data of various natures: both actual data on the activities of health care institutions in different periods of time, the results of personal data of representatives of various social groups, and the conclusions of experts.

General scientific methods, methods of mathematical modeling, as well as a systematic approach are used. To effectively solve the problem, it is proposed to consider the health care institution as an integrated system, which is characterized by internal connections and the influence of the external environment.

As a research result, an algorithm for analyzing the activities of health care institutions is developed, the implementation of which will allow calculating the needs for medical personnel in subsequent periods of time.

Data in accordance with their origin is systematized. It is noted that the results of expert surveys are an important source of data. A structural and functional scheme of information and analytical support for a decision maker in the process of optimizing the personnel of a health care institution is developed. The development and implementation of information and analytical support for the analysis of the personnel activities of a health care institution will increase the effectiveness of relevant management decisions

Author Biographies

Oksana Mulesa, State Higher Educational Institution «Uzhgorod National University» Narodna sq., 3, Uzhhorod, Ukraine, 88000

PhD, Associate Professor

Department of Cybernetics and Applied Mathematics

Vitaliy Snytyuk, Taras Shevchenko National University of Kyiv Volodymyrska str., 60, Kyiv, Ukraine, 01033

Doctor of Technical Sciences, Professor, Head of Department

Department of Intellectual Technologies

Volodymyr Nazarov, State Higher Educational Institution «Uzhgorod National University» Narodna sq., 3, Uzhhorod, Ukraine, 88000

Postgraduate Student

Department of Cybernetics and Applied Mathematics

References

  1. Lekhan, V. M., Slabkyi, H. O., Shevchenko, M. V. (2010). Stratehiia rozvytku systemy okhorony zdorovia: ukrainskyi vymir. Ukraina. Zdorovia natsii, 1, 5–23.
  2. Zghurovskyi, M. Z., Pankratova, N. D. (2007). Osnovy systemnoho analizu. Kyiv: Vydavnycha hrupa BHV, 444.
  3. Rukovodstvo po nacionalnoi politike i strategii v oblasti kachestva: prakticheskii podkhod k razrabotke politiki i strategii v celiakh povysheniia kachestva medicinskoi pomoschi (2018). Zheneva: Vsemirnaia organizaciia zdravookhraneniia. Available at: https://apps.who.int/iris/bitstream/handle/10665/278964/9789244565568-rus.pdf
  4. Medvedovska, N. V., Diachuk, D. D. (2012). Stan zdorovia dorosloho naselennia Ukrainy, diialnist ta resursne zabezpechennia zakladiv okhorony zdorovia v rehionalnomu aspekti. Ukraina. Zdorovia natsii, 1, 30–39.
  5. Detsyk, O. Z., Melnyk, R. M. (2018). Analiz bachennia medychnykh pratsivnykiv shchodo problem orhanizatsii pediatrychnoi paliatyvnoi dopomohy v Ukraini. Ekonomika i pravo okhorony zdorovia, 2 (8), 17–22.
  6. Slabkyi, H. O., Lobas, V. M.,Kachur, O. Yu., Znamenska, M. A., Parkhomenko, H. Ya., Hot, N. R. (2013). Orhanizatsiia diialnosti oblasnoi likarni v umovakh reformuvannia systemy medychnoi dopomohy naselenniu. Kyiv, 23.
  7. Teterych, N. V., Tereshchenko, L. V. (2016). Doslidzhennia suchasnykh problem informatyzatsii okhorony zdorovia ta farmatsii v Ukraini. Sotsialna farmatsiia: stan, problemy ta perspektyvy. Kharkiv, 76–77.
  8. Mathar, T. (2010). Managing Health(-Care Systems) Using Information Health Technologies. Health Care Analysis, 19 (2), 180–191. doi: http://doi.org/10.1007/s10728-010-0150-z
  9. Valladolid, C. (2016). Meaningfulness and job satisfaction for health care technology workers. Pepperdine University, 41.
  10. Kapoor, B., Kleinbart, M. (2012). Building an Integrated Patient Information System for a Healthcare Network. Journal of Cases on Information Technology, 14 (2), 27–41. doi: http://doi.org/10.4018/jcit.2012040103
  11. Banton, C. L. (2014). The impact of multiple master patient index records on the business performance of health care organizations: A qualitative grounded theory study. University of Phoenix.
  12. Wiley, M. T. (2016). Ontology-Based Analysis of Online Healthcare Data. UC Riverside.
  13. Pawlson, G. (2002). Information Technologies And The Health Care Workforce. Health Affairs, 21 (6), 266–266. doi: http://doi.org/10.1377/hlthaff.21.6.266
  14. Heche, F., Mulesa, O., Myroniuk, I., Vashkeba, M. (2015). Forecasting quantitative characteristics of officially registered HIV-infected persons in the region. Technology audit and production reserves, 4 (2 (24)), 34–39. doi: http://doi.org/10.15587/2312-8372.2015.47907
  15. Myroniuk, I. S., Mulesa, O. Yu., Nikolko, M. V. (2016). Dosvid vykorystannia metodu ekspertnykh otsinok dlia vyznachennia okremykh vydiv vtrat produktyvnoho robochoho chasu medychnykh pratsivnykiv rehionalnykh pidrozdiliv sluzhby protydii VIL-infektsii/SNIDu. Ukraina. Zdorovia natsii, 4/1 (41), 164–171.
  16. Mulesa, O., Snytyuk, V., Myronyuk, I. (2016). Forming the clusters of labour migrants by the degree of risk of hiv infection. Eastern-European Journal of Enterprise Technologies, 3 (4 (81)), 50–55. doi: http://doi.org/10.15587/1729-4061.2016.71203
  17. Mulesa, O., Geche, F., Nazarov, V., Trombola, M. (2019). Development of models and algorithms for estimating the potential of personnel at health care institutions. Eastern-European Journal of Enterprise Technologies, 4 (2 (100)), 52–59. doi: http://doi.org/10.15587/1729-4061.2019.174561

Published

2019-11-21

How to Cite

Mulesa, O., Snytyuk, V., & Nazarov, V. (2019). Research of information-analytical aspects for optimization of the health care institutions. Technology Audit and Production Reserves, 6(2(50), 10–13. https://doi.org/10.15587/2312-8372.2019.191913

Issue

Section

Information Technologies: Original Research