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Intellectual model for analyzing and anaging patient trust in medical staff of primary healthcare institutions

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dc.title Intellectual model for analyzing and anaging patient trust in medical staff of primary healthcare institutions en
dc.contributor.author Gavurová, Beáta
dc.contributor.author Smolanka, Vita
dc.contributor.author Polishchuk, Volodymyr
dc.relation.ispartof Polish Journal of Management Studies
dc.identifier.issn 2081-7452 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2024
utb.relation.volume 30
utb.relation.issue 1
dc.citation.spage 98
dc.citation.epage 115
dc.type article
dc.language.iso en
dc.publisher Czestochowa University of Technology
dc.identifier.doi 10.17512/pjms.2024.30.1.06
dc.relation.uri https://pjms.zim.pcz.pl/article/549233/en
dc.subject trust of patients en
dc.subject primary medicine en
dc.subject management efficiency en
dc.subject intellectual analysis of knowledge en
dc.subject fuzzy modeling en
dc.description.abstract In the work, research was conducted on the development of an intellectual analysis model for determining the level of trust of patients in the medical staff of a primary medicine institution, for effective strategy and management on the example of the countries of the Visegrad Group (Czech Republic, Hungary, Poland, Slovakia). The research uses modern knowledge collection and presentation methods, applied in fuzzy set theory, system analysis, and expert evaluation. The main value of the model lies in the fact that it examines the question of evaluating the effectiveness of the management of primary medicine medical institutions, taking into account the level of trust of patients in the medical staff. The model provides an opportunity to comprehensively analyze the region and develop recommendations for state authorities to create strategies for improving the quality of medical medicine in outpatient facilities. At the level of primary medicine institutions, managers should develop strategies to create conditions in which patients' trust in medical personnel will grow. The developed model was verified and tested on real data of primary medicine patients in the countries of the Visegrad Group. An example of evaluation on fragments of data in four regions is illustrated. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1012354
utb.identifier.obdid 43885984
utb.identifier.scopus 2-s2.0-85216454208
utb.identifier.wok 001410206000006
utb.source j-scopus
dc.date.accessioned 2025-02-18T07:15:21Z
dc.date.available 2025-02-18T07:15:21Z
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Gavurová, Beáta
utb.fulltext.sponsorship -
utb.wos.affiliation [Gavurova, B.] Tomas Bata Univ Zlin, Fac Management & Econ, Zlin, Czech Republic; [Smolanka, V] Uzhgorod Natl Univ, Fac Med, Uzhgorod, Ukraine; [Polishchuk, V] Tech Univ Kosice, Uzhhorod Natl Univ, Fac Aeronaut, Fac Informat Technol, Kosice, Slovakia
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Management and Economics, Czech Republic; Uzhhorod National University, Faculty of Medicine, Ukraine; Technical University of Košice, Faculty of Aeronautics, Slovakia; Uzhhorod National University, Faculty of Information Technology, Ukraine
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Attribution 4.0 International Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution 4.0 International