Economic impacts of artificial intelligence in healthcare

Health is a fundamental need for individuals and is also a significant for economic and social development. Health services constitute one of the largest sectors globally. However, today's healthcare systems face various challenges, including a growing population, the prevalence of non-communicable diseases, an aging population leading to an increase in the proportion of patients utilizing healthcare services, and rising costs. Artificial intelligence (AI) technology holds great potential in addressing these challenges. The purpose of this thesis is to highlight the economic impacts of rapidly expanding AI usage in the field of health. In this context, qualitative research methods were employed, and a comprehensive review was conducted using data from various sources such as Pubmed, Google Scholar, ProQuest, Web of Science, Scopus, Science Direct, EMBASE, Dergipark, as well as numerous journals and books. The document analysis technique has been systematically applied at every stage of the study. In this context, the economic impacts of AI utilization in the healthcare have been elucidated comprehensively, incorporating recent studies from a broad perspective. According to the findings of this extensive research, compared to traditional methods, artificial intelligence makes significant contributions to enhancing the quality and efficiency of healthcare services, ensuring effectiveness, and reducing costs. Therefore, this study sheds light on future research on the economic effects of artificial intelligence in the field of health. Keywords Digitalization in Health, Artificial Intelligence in Health, Health Economics