Features of assessing the economic efficiency of introducing artificial intelligence into the oncology screening system (based on materials from the Sverdlovsk region)

Abstract

The article conducts research on increasing the economic efficiency of oncomammoscreening and monitoring the results of breast cancer diagnostics (BC) using artificial intelligence (AI) technologies in Russia. The relevance of breast cancer screening is noted, scientific approaches to screening problems that exist in the context of healthcare financing are analyzed, and the processes of using AI in Russia and the global medical community are flaring up. Objective : to increase the economic efficiency of screening and diagnostic X-ray mammography (X-ray mammography) programs by introducing AI as a physician’s assistant in analyzing the results of medical examinations with budgetary financing of state healthcare institutions in the Sverdlovsk region. Research objectives . 1. To identify key issues that reduce the effectiveness of oncomammoscreening. 2. To analyze the effectiveness of automated detection systems for pathological formations in the mammary gland using AI. 3. To justify ways to increase the economic effect by introducing an intelligent physician assistant in screening and diagnostic X-ray mammography. 4. To determine the areas of growth in the profitability of mammography as a medical service within the framework of budget financing. 5. To propose options for solving the problem of personnel shortage of radiologists in state healthcare institutions of the Sverdlovsk region.

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