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Regional Experience of Using Artificial Intelligence Services in the Healthcare Sector of the Russian Federation in 2023
- Authors: Bondarovich A.F.1, Tyufilin D.S.1, Tarasenko T.D.1, Gusev A.V.1, Chigrina V.P.1, Samofalov D.A.1, Lagutin M.D.1, Deev I.A.2, Kobyakova O.S.1
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Affiliations:
- Russian Research Institute of Health
- N.I. Pirogov Russian National Research Medical University
- Issue: Vol 79, No 2 (2024)
- Pages: 168-174
- Section: HEALTH CARE MANAGEMENT: CURRENT ISSUES
- Published: 11.06.2024
- URL: https://vestnikramn.spr-journal.ru/jour/article/view/13676
- DOI: https://doi.org/10.15690/vramn13676
- ID: 13676
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Abstract
Background. The using of artificial intelligence (AI) in healthcare has particular importance for primary medical care. The market for AI in healthcare is actively developing, and Russian companies offer their products and services in this area. The federal project to create a single digital contour in healthcare includes the implementation of medical devices based on AI technology in healthcare of the regions of the Russian Federation. The AI services may or may not be medical devices. It is necessary to understand the organizational and economic effects for the healthcare system and a certain medical organization in order to select a service. There is no consolidation of regional experience on AI-enabled services in healthcare in the Russian Federation today.
Aims — consolidation of experience in the using of the AI services in healthcare sector in the regions of the Russian Federation.
Methods. We conducted an online survey of representatives of regional executive authorities and medical information and analytical centers in the regions of the Russian Federation through the “Yandex Forms” platform and also they were interviewed.
Results. We surveyed 84 regions of the Russian Federation to consolidate the experience of using the AI services, and the information on Moscow was obtained from open sources. The analysis showed that the AI services that are not medical devices are more common than the AI services that are medical devices. Based on the results of the study, we have formed a classification of the AI services that are not medical devices used in healthcare in the Russian Federation, identified the reasons why, according to the regions, it is difficult to implement the AI services, as well as determined the conditions of use of the AI services that are not medical devices.
Conclusions. On the basis of the study, we determined the algorithm for the implementation of the AI services in the Russian healthcare.
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About the authors
Alexandra F. Bondarovich
Russian Research Institute of Health
Author for correspondence.
Email: bondarovichaf@mednet.ru
ORCID iD: 0009-0009-3600-5392
SPIN-code: 1423-0390
Russian Federation, Moscow
Denis S. Tyufilin
Russian Research Institute of Health
Email: tyufilinds@mednet.ru
ORCID iD: 0000-0002-9174-6419
SPIN-code: 7995-1025
Russian Federation, Moscow
Taras D. Tarasenko
Russian Research Institute of Health
Email: tarasenkotd@mednet.ru
ORCID iD: 0009-0009-0307-1799
SPIN-code: 5738-4363
Russian Federation, Moscow
Alexander V. Gusev
Russian Research Institute of Health
Email: agusev@webiomed.ai
ORCID iD: 0000-0002-7380-8460
SPIN-code: 9160-7024
Russian Federation, Moscow
Valeria P. Chigrina
Russian Research Institute of Health
Email: chigrinavp@mednet.ru
ORCID iD: 0000-0002-5044-4836
SPIN-code: 5138-3084
Russian Federation, Moscow
Dmitry A. Samofalov
Russian Research Institute of Health
Email: samofalovda@mednet.ru
ORCID iD: 0000-0002-0379-4382
SPIN-code: 9533-5630
Russian Federation, Moscow
Maxim D. Lagutin
Russian Research Institute of Health
Email: lagutinmd@mednet.ru
ORCID iD: 0000-0003-4528-509X
SPIN-code: 4808-4176
Менеджер управления стратегического развития здравоохранения
Russian Federation, MoscowIvan A. Deev
N.I. Pirogov Russian National Research Medical University
Email: deevia@mednet.ru
ORCID iD: 0000-0002-4449-4810
SPIN-code: 2730-0004
MD, PhD, Professor
Russian Federation, MoscowOlga S. Kobyakova
Russian Research Institute of Health
Email: kobyakovaos@mednet.ru
ORCID iD: 0000-0003-0098-1403
SPIN-code: 1373-0903
MD, PhD, Professor
Russian Federation, MoscowReferences
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