Medvedeva E.I., Kroshilin S.V. Transformation of the landscape into the work of medical workers under the influence of artistic intelligence. Healthcare of the Russian Federation. 2025. Vol. 69. No. 5. Pp. 481-489. DOI 10.47470 ...

Текст статьи на сайте журнала URL: https://www.rfhealth.ru/jour/article/view/2019 (дата обращения 14.01.2026)

Abstract

The use of artificial intelligence (AI) in medicine is increasingly being applied. Modernization and digitalization processes are taking place in all levels and structures, including in the primary health care sector. The task is to create and ensure the possibility of effective organization of work activities, taking into account the acquisition of new knowledge and competencies through the development of a retraining system. The organization of this system should take into account the needs of medical professionals and the convenience of obtaining the necessary skills. The purpose of the article is to study the specifics of the existing work landscape and trends in the development of educational trajectories of medical workers. Materials and methods. The study includes an analysis of the results of secondary data reflected in monitoring for the possibility of using OLAP, which allows analyzing the responses of survey respondents (n=1,499). Visualization of the landscape of work is implemented using graph theory. Results. Modern technologies in medicine significantly affect the work of medical workers. Knowledge in the field of AI and IT is becoming more and more in demand. The system of medical retraining, taking into account new work formats, requires significant rethinking. Based on OLAP technologies and graph theory, the authors propose an author's model of the work landscape of a health worker. Limitations of the study. The analysis uses data from a quasi-longitudinal monitoring study of DM medical organizations. This is a representative sample for possible extrapolation of the results to the general population. Conclusions. Taking into account existing trends and changes in work activity (including the introduction of AI), it is advisable in the near future to review both approaches to training medical workers and to provide an opportunity to gain new knowledge for the implementation of innovative personnel strategies corresponding to the "New Moscow Standards" nationwide.