Work

Classification of digital solutions for public health information management in the Russian Federation

Year: 2026
Type: article
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.
Language: English
Field: Medicine
Open Access status: diamond
OpenAlex ID: W7164756459
FWCI:
Cites: 5
Cited by:
Related to: 10