Russian Federation
The paper considers the development of a specialized information system (IS) designed to solve the urgent problem of inefficient use of expensive diagnostic equipment (MRI, CT) and the working hours of medical personnel in polyclinics. The architecture of the system, key functional modules and an intelligent schedule optimization algorithm based on machine learning methods are presented. Quantitative estimates of the expected implementation efficiency, an analysis of competitiveness and the innovative component of the proposed solution are given.
information system, schedule optimization, diagnostic equipment, machine learning, healthcare, digital transformation, planning algorithm
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