Classification of digital solutions for public health information management in the Russian Federation
https://doi.org/10.15829/1728-8800-2026-4886
EDN: XMPXGV
Abstract
Aim. To develop a methodological approach to the functional classification of healthcare digital solutions in the Russian Federation (RF), based on satisfying the information needs of healthcare entities, and to formulate a classification architecture.
Material and methods. The material was drawn from Russian and international information sources on methodological approaches to compiling digital solution classifications, strategic documents and regulatory legal acts of the Russian Federation regarding healthcare digital transformation, and a description of the digital solutions used in Russia. There were following methods: content analysis, systematization, and comparison.
Results. Using the developed methodological approach, a following three-level classification architecture for healthcare digital solutions was created for four groups of healthcare entities, their function groups, and the functions of the entities: 1) functions of healthcare managers — planning, management, monitoring, and control of the healthcare system, implementation of public policy, resource and financing management, and strategic development of the industry; 2) functions of health workers — professional activities, medical record maintenance, use of telemedicine, and interaction between specialists; 3) Patient functions — receiving care, using their medical information, remote services, feedback, and managing their health; 4) Functions of IT specialists — ensuring the regulatory, technological, and architectural development of healthcare digitalization, including data management, security, standardization, and analytics.
Conclusion. The developed digital solutions’ classification architecture will allow us to systematize existing digital solutions and identify gaps in the implementation of strategic decisions and regulatory defects.
About the Authors
O. M. DrapkinaRussian Federation
Petroverigsky Lane, 10, bld. 3, Moscow, 101990,
Dolgorukovskaya str., 4, Moscow, 127006
R. N. Shepel
Russian Federation
Petroverigsky Lane, 10, bld. 3, Moscow, 101990,
Dolgorukovskaya str., 4, Moscow, 127006
D. V. Voshev
Russian Federation
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
А. V. Korotkova
Russian Federation
Petroverigsky Lane, 10, bld. 3, Moscow, 101990
R. O. Pugachev
Russian Federation
Revolutsionnaya str., 5, Yaroslavl, 150000
D. S. Tyufilin
Russian Federation
Dobrolyubova str., 11, Moscow, 127254
T. D. Tarasenko
Russian Federation
Dobrolyubova str., 11, Moscow, 127254
References
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What is already known about the subject?
- Existing approaches to classifying digital solutions allow to divide them into two following groups: classifications based on various technical characteristics and on functionality.
- The vast majority of developed digital solutions classifications in healthcare are aimed at systematizing existing digital solutions.
What might this study add?
- The study developed a methodological approach to classifying digital resources in Russian healthcare. It is based on identifying four key groups of participants in the public healthcare system: healthcare managers at all levels, health workers, patients, and IT specialists. It also identifies their healthcare functions, for which digital resources meet their information needs.
- The developed digital resource classification architecture can help to systematize existing digital resources, identify digital transformation gaps and regulatory defects.
Review
For citations:
Drapkina O.M., Shepel R.N., Voshev D.V., Korotkova А.V., Pugachev R.O., Tyufilin D.S., Tarasenko T.D. Classification of digital solutions for public health information management in the Russian Federation. Cardiovascular Therapy and Prevention. 2026;25(5):4886. (In Russ.) https://doi.org/10.15829/1728-8800-2026-4886. EDN: XMPXGV
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