International approaches to the collection and processing of government statistics
Year: 2025
Type: article
Abstract: Background. The need for effective health management requires the improvement of health statistics. Current methods of data collection are limited and inaccurate. The Digital Transformation Strategy until 2030 aims to create a secure and reliable health information infrastructure using domestic technologies. Aim. To analyze the existing methods of collecting and analyzing medical statistics in different countries.. Methods. To obtain information, we searched for relevant studies published in eLibrary, Refseek, Virtual Learning Resources Center, Yandex and Googlе databases. The search strategy was based on such key words and word combinations in Russian and English as “statistics”, “collection”, “analysis”. Results. The study identified key methods of development of medical statistics collection in Russia and worldwide, focusing on accuracy and completeness of data. The principles of confidentiality, coverage, quality, computability, regularity and representativeness were analyzed, as well as collection methods: surveys, continuous data collection and automated information transfer. Conclusion. The uniqueness of the Russian system of statistical accounting in healthcare lies in the continuous registration of each case of disease in medical organizations. The introduction of modern digital solutions based on primary data is in line with the basic principles of statistics. This will simplify the work with information, increase its accuracy and accessibility for prompt response to changes in the healthcare sector.
Authors: M. A. Ryabova, N. A. Golubev, A. V. Polikarpov
Institution: Ministry of Health of the Russian Federation
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4408829381