ARTIFICIAL INTELLIGENCE IN SANITARY AND EPIDEMIOLOGICAL MONITORING: CONCEPTUAL APPROACHES AND PERSPECTIVES
DOI:
https://doi.org/10.52123/1994-2370-2025-1550Keywords:
artificial intelligence, digitalization, conceptual model, sanitary and epidemiological monitoring, public health, IT policy.Abstract
This work is aimed at forming a conceptual view of the introduction of artificial intelligence technologies into the sanitary and epidemiological monitoring system of Kazakhstan. This issue is especially relevant in the context of global challenges, manifested in urbanization, industrial development, intensive cooperation between countries, the growth of trade relations, increased migration flows, and the development of tourism. The main challenge for humanity is environmental change and the growth of anthropogenic factors that directly affect the health of the population. The purpose of the research is to form a conceptual model and the main aspects of the introduction of artificial intelligence in monitoring based on world practice. The materials and methods include the analysis of international publications, conducting an expert survey of sanitary and epidemiological service employees, and conceptual modeling of the introduction of artificial intelligence into the sanitary and epidemiological monitoring system. Results and discussion: An analysis of the literature has shown many positive aspects of the introduction of artificial intelligence into monitoring, while approaches to implementation are based on the needs of the field itself and management aspects. The results of expert opinions showed the main barriers in the sanitary and epidemiological service on the way to digitalization. The proposed model illustrates the potential of integrating artificial intelligence into a monitoring system based on the principles of Data-Centric Governance.
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Copyright (c) 2025 Жанат Садуакасова, Маргарита Кадырова, Вайнюс Смальскис, Айнагуль Куатбаева
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