Integration of Artificial Intelligence into the Healthcare System: A Comparative Analysis and Adaptation Possibilities for Kazakhstan

Abstract

The relevance of the study is determined by the accelerating digital transformation of healthcare and the growing role of artificial intelligence as a tool for improving the efficiency of medical systems. International experience demonstrates that the successful integration of AI requires not only technological readiness but also financial sustainability of the sector, which is particularly important for countries with developing economies, including the Republic of Kazakhstan. The purpose of the study is to conduct a comparative analysis of foreign models of AI implementation in healthcare and to assess the economic conditions of digitalization based on healthcare financing indicators of the Republic of Kazakhstan. The research methods include comparative institutional analysis of international practices, statistical analysis of time series data, calculation of growth increments and growth rates of healthcare revenues and expenditures, correlation analysis based on indicator increments, and the construction of a linear regression model to assess the dependence of expenditures on revenue dynamics. The results of the study demonstrate a steady increase in healthcare financing in the Republic of Kazakhstan while maintaining budgetary balance. However, the dynamics of increments reveal alternating periods of expansion and contraction of financial reserves. A strong positive relationship between changes in revenues and expenditures was identified, indicating a high dependence of the system’s development scale on the resource base. The conclusions confirm that the economic sustainability of the healthcare system is a key prerequisite for scaling AI. The rational use of financial windows of opportunity and the prioritization of projects with measurable effects make it possible to ensure technological development without disrupting budgetary balance. The obtained results may be used in the formation of national and regional policies for the digital transformation of healthcare.