The introduction of digital healthcare platforms has had a positive impact on the accessibility of the healthcare system among the population and increased the efficiency of state control over the healthcare of society. But like any evolution, this digital progress has a number of imperfections. In particular, digital methods for automated monitoring of the achievement of regional healthcare systems target indicators for the purpose of operational supervision and taking timely measures in the public health maintenance of certain territories are practically absent. The aim of the work is to develop a methodological toolkit for automated analysis of the achievement of regional health systems target indicators across state digital platforms. The proposed methodology is based on the author's system of indicators, the automated calculation of which will allow monitoring the effectiveness of health care systems in selected regions in real-time, as well as to take timely measures to maintain and protect public health, to form strategies in the development of regional health care systems. The object of the study is the regional health care system of the Russian Federation. The application of the proposed methodological tools makes it possible to rank the territories by the level of values of complex standardized indicators, taking into account financial conditions, resources, and markers for achieving target indicators. Automated monitoring of these indicators allows us to determine the types of strategies for the development of the healthcare system in selected regions. The proposed approach to monitoring the performance of regional healthcare systems will facilitate the development and enhancement of strategies for their progress, aiming to ensure high standards of quality of life among the population.
CITATION STYLE
Yashina, N., Kashina, O., Yashin, K., Pronchatova-Rubtsova, N., & Vileyshikova, A. (2023). Development of State Digital Platforms: A Methodological Toolkit for Analysing the Attainment of Regional Health Care Systems’ Target Indicators. International Journal of Technology, 14(8), 1728–1737. https://doi.org/10.14716/ijtech.v14i8.6844
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