Customer-oriented optimization of healthcare facilities staff is considered

Oksana Mulesa

Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine

orcid.org/0000-0002-6117-5846

Vitaliy Snytyuk

Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine

orcid.org/0000-0002-9954-8767

Abstract

DOI: https://doi.org/10.17721/AIT.2021.1.01

The problem of developing information technology for customer-oriented optimization of healthcare facilities staff is considered. It is determined that the key tasks in the development of personnel decisions in the formation of personnel policy in medical institutions are assessing such current characteristics of staff as to regulatory and actual workload and the task of forecasting needs for medical services in future periods. To effectively perform such a forecast, it is proposed to consistently solve clustering, identification, and forecasting problems. A mathematical model of the multicriteria optimization problem for the formation of many variants of solutions for the formation of personnel policy in health care facilities is built. The model of search of optimum distribution of services between employees of establishment in the form of a problem of integer linear programming is executed. Production rules have been developed to analyze the results of solving the formulated problem. A model for developing variants of decisions on changes in the staff of a medical institution to ensure the completeness of medical services is proposed. To assess the effectiveness of the options made, the customer orientation index is used, which is calculated by the principles of egalitarianism. Experimental verification of the developed models and methods is performed.

Keywords – decision-making, optimization, index of the customer orientation for the institution, customer-oriented optimization, human resources.

Information about the author

Oksana Mulesa. Candidate of Technical Sciences, specialty 05.13.06 – Information Technologies, Associate Professor, Associate Professor of Cybernetics and Applied Mathematics, Uzhhorod National University. Research interests include information technology, decision making, fuzzy analysis, data mining.

Vitaliy Snytyuk. Dean of the Faculty of Information Technology, Doctor of Tech­nical Sciences on the specialty 05.13.06 – Information Technology, Professor. Research interests: decision making under uncertainty, computational intelligence, evolutionary modeling.

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