The Application of Artificial Intelligence in Healthcare System Management in the Republic of Serbia: Enhancing Efficiency, Predictive Capacity, and Decision-Making

Marko Kimi Milić; Šćepan Sinanović; Tatjana Kilibarda; Saša Bubanj; Novica Bojanić; Tanja Prodović; Aleksa Bubanj

doi:10.5937/afmnai42-54811

Marko Kimi Milić High Medical College of Professional Studija „Milutin Milanković”, Belgrade, Serbia
Šćepan Sinanović High Medical College of Professional Studija „Milutin Milanković”, Belgrade, Serbia
Tatjana Kilibarda The Academy of Applied Preschool Teaching and Health Studies Kruševac - Department in Ćuprija, Serbia
Saša Bubanj University of Niš, Faculty of Sport and Physical Education, Niš, Serbia
Novica Bojanić University of Niš, Faculty of Medicine, Niš, Serbia
Tanja Prodović High Medical College of Professional Studija „Milutin Milanković”, Belgrade, Serbia
Aleksa Bubanj University of Niš, Faculty of Medicine, Niš, Serbia

DOI: https://doi.org/10.5937/afmnai42-54811

Keywords: Artificial Intelligence, Healthcare Management, Predictive Analytics, Decision Support Systems, Resource Optimization, Serbia

Abstract

Artificial intelligence (AI) offers transformative potential in healthcare management by enhancing predictive analytics, optimizing resource allocation, and supporting clinical decision-making. This study examines AI applications in Serbian healthcare institutions, focusing on operational efficiency and improved patient outcomes. Using statistical methods such as ANOVA and regression, findings show significant benefits with AI adoption, while infrastructure and ethical considerations remain critical for successful integration. The study provides a foundation for policymakers aiming to incorporate AI within Serbia's healthcare system, addressing both potential improvements and challenges.

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