Customer-oriented optimization of healthcare facilities staff

Abstract

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.