Modern rehabilitation: challenges and prospects

Cover Page

Cite item

Full Text

Abstract

Modern rehabilitation system in the Russian Federation is developing based on a comprehensive and interdepartmental approach, however, comprehensive rehabilitation as a component of disability prevention remains insufficiently studied. In Russian practice, comprehensive rehabilitation was predominantly studied in persons with established disabilities, whereas rehabilitation aimed at preventing disability development was investigated only within individual components, primarily medical. Analysis of key aspects (organizational-managerial, interdepartmental interaction, human resource provision, financing, digitalization) was conducted separately. This study is based on systematic analysis of literature (2020–2025) from eLibrary.ru, PubMed, Scopus, content analysis of regulatory documents, comparative legal analysis of rehabilitation types, structural-functional analysis of organizational models, and analysis of official statistics of government agencies. It was found that comprehensive rehabilitation develops according to a proactive approach, ensuring broad coverage of patient needs. However, significant risks of fragmentation and inconsistency persist, due to organizational differences between departments, diversity of financing sources, and uneven development of digitalization. The study revealed that systemic problems of coordination are due to insufficient coordination between departments, insufficiently addressed in fragmented analysis of individual rehabilitation types. A unified coordination mechanism with an integrated digital platform and artificial intelligence tools is necessary for predicting patient needs in rehabilitation types and services, optimizing rehabilitation pathways, and improving interdepartmental interaction effectiveness. The results substantiate the need for transition from departmental to system-coordinated disability prevention model and provide scientific basis for developing organizational-managerial solutions.

About the authors

Oksana V. Khorkova

V.A. Almazov National Medical Research Centre

Author for correspondence.
Email: Khorkova_OV@almazovcentre.ru
ORCID iD: 0000-0002-0993-8340
SPIN-code: 6499-6694

MD, Cand. Sci. (Medicine)

Russian Federation, Saint Petersburg

Tatyana N. Ishchuk

V.A. Almazov National Medical Research Centre

Email: tatiscuk@mail.ru
ORCID iD: 0000-0001-7326-8241
SPIN-code: 2397-2448

MD, Cand. Sci. (Medicine)

Russian Federation, Saint Petersburg

References

  1. Vanda AS, ed. Modern Approaches in Medical Rehabilitation. Proceedings of the International Scientific and Practical Conference, Minsk – Tashkent, May 21–22, 2025. Minsk; 2025. 128 p. (In Russ.)
  2. Rehabilitation 2024: Proceedings of the All-Russian Scientific and Practical Conference with International Participation, dedicated to the 50th anniversary of the first rehabilitation center in the USSR, St. Petersburg, May 16–17, 2024. University Therapeutic Journal. 2024;(S6):52–66. (In Russ.)
  3. Ponomarenko GN. Physical and Rehabilitation Medicine: Fundamental Principles and Clinical Practice. Physiotherapy, Balneology and Rehabilitation. 2016;15(6):284–289. doi: 10.18821/1681-3456-2016-15-6-284-289 EDN: XWRRZZ
  4. Orlova IA, Akopyan ZA, Plisyuk AG, et al. Opinion research among Russian Physicians on the application of technologies using artificial intelligence in the field of medicine and health care. BMC Health Serv Res. 2023;23(1):749. doi: 10.1186/s12913-023-09493-6
  5. Jennings B. Relational Ethics for Public Health: Interpreting Solidarity and Care. Health Care Anal. 2019;27(1):4–12. doi: 10.1007/s10728-018-0363-0
  6. Christophers L, Torok Z, Trayer A, et al. Interdisciplinary teamworking in rehabilitation: experiences of change initiators in a national rehabilitation hospital. BMC Health Serv Res. 2025;25(1):651. doi: 10.1186/s12913-025-12795-6
  7. Sadler JZ, Hulgus YF. Clinical problem solving and the biopsychosocial model. Am J Psychiatry. 1992;149(10):1315–1323. doi: 10.1176/ajp.149.10.1315
  8. Smith RC. Making the biopsychosocial model more scientific — its general and specific models. Soc Sci Med. 2021;272:113568. doi: 10.1016/j.socscimed.2020.113568
  9. Headrick G, Ruth A, White SA, Ellison C. Integration and coordination across public benefit programs. International Journal of Health Policy and Management. 2022;31(4):102077. doi: 10.1016/j.pmedr.2022.102077
  10. Engel GL. The biopsychosocial model and the education of health professionals. Ann N Y Acad Sci. 1978;310:169–187. doi: 10.1111/j.1749-6632.1978.tb22070.x
  11. Borisov IV, Bondar VA, Kudinov DA, et al. Problems and prospects of it in healthcare in Russia: modern realities. Physical and Rehabilitation Medicine. 2022;4(4):271–282. doi: 10.36425/rehab110384 EDN: SAGQKI
  12. Gameeva EV, Kostin AA, Alekseeva GS, et al. Medical rehabilitation: a study of problems of legal definition. The intersection of the concepts of medical rehabilitation, prevention and treatment. Research’n Practical Medicine Journal. 2020;7(3):119–126. doi: 10.17709/2409-2231-2020-7-3 EDN: TDVART
  13. McGuire F, Vijayasingham L, Vassall A, et al. Financing intersectoral action for health: a systematic review of co-financing models. Global Health. 2019;15(1):86. doi: 10.1186/s12992-019-0513-7
  14. Rodrigues P, Quaresma C, Costa M, et al. Virtual Reality-Based Telerehabilitation for Upper Limb Recovery Post-Stroke: A Systematic Review of Design Principles, Monitoring, Safety, and Engagement Strategies. arXiv. 2025;01:06899v1. doi: 10.48550/arXiv.2501.06899
  15. Panteli D, Adib K, Buttigieg S, et al. Artificial intelligence in public health: promises, challenges, and an agenda for policy makers and public health institutions. Lancet Public Health. 2025;10(5):e428–e432. doi: 10.1016/S2468-2667(25)00036-2
  16. Aldhahi MI, Alorainy AI, Abuzaid MM, et al. Adoption of Artificial Intelligence in Rehabilitation: Perceptions, Knowledge, and Challenges Among Healthcare Providers. Healthcare (Basel). 2025;13(4):350. doi: 10.3390/healthcare13040350
  17. Bekbolatova M, Mayer J, Ong CW, Toma M. Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives. Healthcare (Basel). 2024;12(2):125. doi: 10.3390/healthcare12020125
  18. Headrick G, Ruth A, White SA, et al. Integration and coordination across public benefit programs: Insights from state and local government leaders in the United States. Prev Med Rep. 2022;31:102077. doi: 10.1016/j.pmedr.2022.102077
  19. Longhini J, Rossettini G, Palese A. Digital Health Competencies Among Health Care Professionals: Systematic Review. J Med Internet Res. 2022 Aug 18;24(8):e36414. doi: 10.2196/36414
  20. Jasnoski Gregerson MB. A role for clinical psychology in health care and policy concerning the physical environment. J Clin Psychol Med Settings. 1995;2(2):205–221. doi: 10.1007/BF01988644

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2025 Eco-Vector

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).