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

1. Chernov O.E., Kobyakova O.S., Panova I.V., Zemlyakova S.S. Methodology for setting standards for the work of an occupational pathologist. Med. truda i prom. ekol. 2025; 65(5): 294–300. https://doi.org/10.31089/1026-9428-2025-65-5-294-300 (in Russian).

2. Bukhtiyarov I.V., Zemlyakova S.S., Shigan E.E. Occupational Health In: Public health and healthcare with fundamentals of medical informatics. National manual. Ed by. I.Yu. Ulumbekova, V.A. Medik. М.: Geotar-media, 2022: 219–246 (in Russian).

3. Bukhtiyarov I.V., Zemlyakova S.S. Medical activity in the health care system of workers in the Russian Federation. Med. truda i prom ekol. 2022; 62(6): 362–376. https://doi.org/10.31089/1026-9428-2022-62-6-362-376 (in Russian).

4. Information about the medical organization. Form No. 30 of the Federal State Budgetary Institution State Scientific Center Federal Medical and Biophysical Center named after A.I. Burnazyan of the Federal Medical and Biological Agency of Russia for the years 2021–2025. Moscow: FMBA; 2025 (in Russian).

5. Polishchuk N.S., Vetsheva N.N., Kosarin S.P., Morozov S.P., Kuz’Mina E.S. Unified Radiological Information Service as a Key Element of Organizational and Methodical Work of Research and Practical Center of Medical Radiology. Radiologiya – praktika. 2018; (1): 6–17. https://www.radp.ru/jour/article/view/3 (in Russian).

6. Polischuk N.S., Gombolevsky V.A., Kim K.A., Morozov S.P. Regulations for the work of departments (offices) of computed tomography and magnetic resonance imaging. Series «Best practices in radiation and instrumental diagnostics». Issue 13. Moscow; 2018. https://clck.ru/3RGXzH (in Russian).

7. Methodology for Developing Time and Workload Standards for Medical Personnel. Moscow: Central Research Institute for Organization and Information Support of Healthcare, 2014. https://base.garant.ru/74752094/ (in Russian).

8. Osadchiy K.K., Mershina E.A., Bragina A.E., Sinitsyn V.E. Evaluation of the Efficiency of the Department of Computer and Magnetic Resonance Tomography. Vestnik Rentgenologii i Radiologii. 2019; 100(5): 278–85. https://elibrary.ru/olddvg https://doi.org/10.20862/0042-4676-2019-100-5-278-285 (in Russian).

9. Morozov S.P., Vladzimirsky A.V., Ladykhova N.V., Trofimenko I.A., Polishchuk N.S., Mukhortova A.N., Shulkin I.M., Klyashhtorny V.G. Justification of the recommended time standards for describing the results of computed and magnetic resonance imaging. Vrach i informacionnye tekhnologii. 2021; 3: 50-61. https://doi.org/10.25881/18110193_2021_3_50 (in Russian).

10. Cowan I.A., MacDonald S.L., Floyd R.A. Measuring and managing radiologist workload: measuring radiologist reporting times using data from a Radiology Information System. J. Med. Imaging. Radiat. Oncol. 2013; 57(5): 558–66. https://doi.org/10.1111/1754-9485.12092

11. Pokhodzey L.V., Rudneva E.A., Paltsev Yu.P., Courierov N.N. Features of electromagnetic and noise environment in the workplace of the staff of MRI departments: problems of hygienic regulation and control. Med. truda i prom. ekol. 2020; 60(9): 575–582. https://doi.org/10.31089/1026-9428-2020-60-9-575-582 (in Russian).

12. Pokhodzey L.V., Paltsev Yu.P. Hygienic aspects of electromagnetic environment assessment in magnetic resonance imaging departments. Fundamental and applied research in medicine: Proceedings of the International Scientific Conference of the East Siberian Institute of Medical and Ecological Research and the VI All-Russian Scientific and Practical Conference of Young Scientists, Irkutsk Region, Khuzhir, September 15–19, 2025. Novosibirsk: Siberian Branch of the Russian Academy of Sciences, 2025: 150–156. https://doi.org/10.53954/9785605249900_150 (in Russian).

13. Lagutin A.S., Grigoriev G.Y. Safety Issues in Magnetic Resonance Imaging: a Brief Overview. Meditsinskaya radiologiya i radiatsionnaya bezopasnost'. 2025; 70(6): 45–53. https://doi.org/10.33266/1024-6177-2025-70-6-45-53 (in Russian).

14. Starodubov V., Mikhaylova Yu., Leonov S. Human resources for health in the Russian federation: a condition, problems and basic tendencies of developmen. Social'nye aspekty zdorov'ja naselenija. 2010; 1(13): 2 (in Russian).

15. Shipova V.M., Son I.M., Ivanova M.A., Armashevskaja O.V., Bant'eva M.A., Ljucko V.V., et al. Standardization of work of outpatient doctors in the provision of primary health care. Zdravoohranenie. 2014; 7: 76–85. https://elibrary.ru/sfkltv (in Russian).

16. Starodubov V.I., Son I.M., Ivanova M.A. Armashevskaya O.V., Liutsko V.V., Sokolovskaya T.A., et al. Staff time specialist doctors for the provision of medical care in the outpatient setting. Menedzher zdravoohranenija. 2014; 8: 18–22 (in Russian).

17. Shigan E.E., Saarkoppel' L.M., Serebryakov P.V., Fedina I.N. Analysis of occupational pathology physician competencies as part of professional standard development. Med. truda i prom ekol. 2020; 60(12): 925–935. https://doi.org/10.31089/1026-9428-2020-60-12-925-935 (in Russian).

18. Levanov V.M., Perevezentsev E.A., Garin L.Yu. Management of a medical organization based on a system of key performance indicators (KPI) (review). Medicinskij al'manah. 2018; 56(5): 12–6. https://clck.ru/3RGXs9 (in Russian).