Investments in AI as a driver for increased productivity in the healthcare system
Sabyrzhan A. Zeinullina Z. Karipova A. Omarova A. Jazykbayeva B. Zhumabekova M.
2026Economic Laboratory for Transition Research
Montenegrin Journal of Economics
2026#22Issue 1253 - 269 pp.
The relevance of this study stems from the need to improve labor productivity in the healthcare system in the face of increasing workloads for medical personnel, limited human and financial resources, and the accelerating digital transformation of the economy. Investments in artificial intelligence (AI) technologies are considered a key tool for healthcare modernization, capable of reducing unproductive labor costs, increasing the efficiency of clinical and management processes, and ensuring the long-term sustainability of the system. The aim of the study is to economically justify the role of investments in artificial intelligence as a factor in increasing labor productivity in the healthcare system and to identify the conditions under which such investments provide a sustainable socioeconomic impact. The research methods include an analysis of scientific literature and regulatory documents, a systems and structural-functional approach, investment analysis methods (NPV, IRR, payback period), economic-statistical and economic-mathematical methods, and elements of predictive modeling. The study results demonstrate that investments in AI technologies can have a positive impact on medical personnel productivity by automating administrative functions, supporting clinical decisions, and optimizing workflows. It has been established that the economic efficiency of AI investments depends significantly on the level of institutional readiness of the healthcare system, data quality, digital competencies of staff, and the availability of risk management mechanisms. The study concludes that AI can serve as a sustainable driver of productivity growth in healthcare only with a comprehensive implementation approach that includes process reengineering, human capital development, adapting the performance metrics system, and integrating ESG principles into investment policies. A piecemeal implementation of AI without organizational changes limits economic returns and reduces the potential impact of investments.
artificial intelligence , digital transformation , economic efficiency , ESG risks , healthcare , investments , labor productivity
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Institute of Management of the Academy of Public Administration under the President of the Republic of Kazakhstan, Astana, Kazakhstan
Karaganda Buketov University, Karaganda, Kazakhstan
L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Karaganda University of Kazpotrebsoyuz, Karaganda, Kazakhstan
Institute of Management of the Academy of Public Administration under the President of the Republic of Kazakhstan
Karaganda Buketov University
L.N. Gumilyov Eurasian National University
Karaganda University of Kazpotrebsoyuz
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026