Abstract: The integration of artificial intelligence (AI) into Kazakhstan’s healthcare system presents significant opportunities for enhancing remote patient monitoring, particularly in a country characterized by vast geographic distances and uneven distribution of medical resources. In rural and remote areas with limited access to healthcare, AI solutions have the potential to revolutionize patient care by providing real-time health data. The study aimed to identify the advantages and barriers to using AI for remote patient monitoring in Kazakhstan. Analytical methods were applied in this study, including the analysis of pilot project data focused on the implementation of AI-based monitoring systems. Modern IT solutions were used for the collection, processing, and analysis of medical data, enabling an evaluation of the effectiveness of these technologies. The conducted pilot projects demonstrated a 57% reduction in hospital admissions and a 33% decrease in treatment costs for chronic diseases. The use of AI systems was shown to enable early detection of health issues, reducing the burden on healthcare facilities and improving access to medical services for patients with chronic conditions such as diabetes, hypertension, and cardiovascular diseases. Despite the achieved results, the implementation of AI in Kazakhstan’s healthcare system faces several challenges, including insufficient internet infrastructure in rural areas, data security concerns, and the need for training medical personnel. However, government support and ongoing advancements in AI technologies create opportunities for expanding their application in healthcare. The scientific novelty of the study lies in evaluating the practical effectiveness of AI systems in the context of Kazakhstan, while the significance of the work is reflected in the improvement of medical outcomes and the reduction of healthcare costs.

Keywords: artificial intelligence, remote monitoring, healthcare, telemedicine, Kazakhstan, chronic diseases.