Issues of Smart Services for Assessing Health of the Population

Introduction. Managing incidence in a smart city requires modern approaches based on predictive analytics and big data processing. However, in Russia, the use of smart systems in healthcare is faced with legislative, technological, and economic restrictions. The article explores the possibilities and risks of introducing artificial intelligence (AI) in healthcare management, as well as the existing aspects related to regulatory requirements, data safety, and the integration of such solutions. The purpose of the study is to use the SWOT analysis to briefly consider the capabilities, risks, difficulties, and advantages of introducing AI for analysis and management of population health in certain territories, including the Russian Federation. Materials and methods. Analysis and compilation of data from public databases, regulatory legal acts of foreign countries and the Russian Federation, as well as full publications featured in the Russian scientific quoting index available for free on the PubMed portal. Results. The study showed that, despite the high efficiency of AI in various fields, Russia does not have smart strategic planning tools officially approved at the territory level that can be classified as medical products (software). The main obstacles are the long and expensive process of software registration, the risks of confidential data leaks, and the medical workers’ distrust of the algorithms. At the same time, global trends showcase increased investment in AI in healthcare. The solution requires an interdisciplinary approach, including goal-setting, adaptation of legislation, increasing cybersecurity, and the development of explainable AI models. The use of large language models capable of maintaining management decisions in healthcare is recognized as a promising area.

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