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EN
Day health care (DHC) has been used only for a decade in Slovakia. The usage of DHC is differently perceived by health insurance companies that radically reduce the financial resources. On the other hand, the usage of DHC is differently perceived by hospitals which are permanently indebted. The reduced payment for DHC performance in comparison with the payments for finished hospitalization aggravates the conditions of hospitals. The reason is improperly adjusted and economically demotivated system that causes the significant lagging behind the European average. In Slovakia no studies declare usage, determinants, riskiness, and utilisation barriers of the DHC in regions and price strategies of health insurance companies. The contribution presents research output focused on DHC development in order to increase an efficiency of healthcare system in Slovakia, and also presents the pilot study in this field.
EN
The main objective of this paper is to analyse the impact of trend variables on the predictive ability of the models constructed using two methods: discriminant analysis and decision tree technique. The second objective is to develop a new model with prediction accuracy higher by at least 10% in comparison with other models being currently used in the Slovak business environment (Altman model, Index IN05). After analysing and comparing these methods, we came to the conclusion that the most suitable method for developing the model was the decision tree technique. Using this technique we were able to extract classification rules for bankruptcy prediction and achieve predictive ability of about 85% which, in comparison with other models, showed higher predictive performance by about 10%. Moreover, we confirmed that by applying the dynamic approach predictive ability of the decision tree increased; however we did not derive the same result using the discriminant analysis method.
EN
In this paper, the regional efficiency of healthcare facilities in Slovakia is measured (2008 – 2015) using a Data Envelopment Analysis (DEA). The window DEA was chosen since it leads to increased differentiation of results, especially when applied to small samples, and it enables year-by-year comparisons of the results. Two inputs (number of beds, number of medical staff) and two outputs (use of beds, average nursing time) were chosen as variables in output-oriented 4-year window DEA model for the assessment of technical efficiency in 8 Slovak regions. As the regional efficiency is driven by natural, historical, macro-economic and political conditions, in the next stage the impact of environmental factors on efficiency is examined. The results have confirmed that the public costs, private costs, departments, higher education, population over 65, life expectancy, wage costs, population size and income inequality indicator s80/s20 are statistically significant and therefore affect the efficiency of healthcare facilities in Slovakia.
EN
There are clear disparities between the health needs of residents and the financial sources of the public health system. The basic determinants of their formation is a development of health needs that is caused by age extension, increase in chronic diseases, as well as by increasing demands of the residents on healthcare services. The expenses related to the provision of healthcare may be increased by suitable implementation of e-Health project. The aim of this contribution is to evaluate the use of ICT in the health facilities in Slovakia as a basis of their effective strategic control. On the set platform we specified the disparities among the health facilities in the analysed region may be specified on the basis of the platform and also it is possible to determine the decisive determinants that influence their further development.
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