Assessment of the labor function of radiologists based on the description of the results of magnetic resonance imaging

Introduction. The introduction of new approaches to the evaluation of the work of radiologists seems to be extremely important for the personalization of the results of the work of radiologists in budgetary medical institutions. The substantiation of objective indicators for assessing the volume and quality of the activities of radiologists remains an insufficiently developed area, which determines the relevance of the study.The study aims to substantiate a new algorithm for quantifying the labor function of interpreting the results of MRI examinations by radiologists based on the complexity of the diagnostic conclusions performed.Materials and methods. The author used the method of analyzing the structure of studies in the department of magnetic resonance imaging (MRI) of the Center for Radiation Diagnostics and a calculation method to take into account the complexity of the main types of MRI studies when assessing the work function of radiologists. Two algorithms for calculating the labor function of a radiologist for performing MRI descriptions are analyzed. According to the first algorithm, the number of completed MRI descriptions per shift was estimated, according to the second algorithm, a score with a developed gradation of the complexity coefficient of the MRI description was used.Results. The working conditions of the radiologist of the MRI department are analyzed. There are 4 gradations of complexity of MRI examination descriptions, depending on the anatomical area of the scan, the amount of research, the use of contrast, and the parameters of the MRI protocol. According to the results of the study, the average values of the labor function of one radiologist were estimated, calculated using the first and second algorithms for 6 months and a month of work, per shift and hour of work. The differences in these algorithms for assessing the labor function of a radiologist are analyzed.Conclusion. The proposed second algorithm for evaluating the labor function of radiologists in interpreting MRI results more accurately reflects the amount of work performed, depending not only on the number but also on the complexity of the performed MRI descriptions, and can be the basis for automating the system for evaluating the work of radiologists.Ethics. The study did not require the conclusion of an Ethics Committee.Funding. The study had no funding.Conflict of interest. There is no conflict of interest.Received: 17.11.2025 / Accepted: 14.01.2026 / Published: 15.02.2026