Drivers and barriers of regional governance in the digital transformation of personalized medicine

Abstract

Relevance. Digitalization of healthcare, especially in the segment of personalized medicine, is becoming the most important direction for modernizing the social sphere and ensuring the sustainable development of Russian regions. The rapid development of digital platforms, artificial intelligence systems and big data analysis technologies creates prerequisites for the transition to a model of medical care focused on the individual characteristics of the patient. However, effective implementation of such solutions requires consistency between federal strategies and the management capabilities of the subjects of the Russian Federation, which necessitates the identification and analysis of key factors influencing the success of digital transformation in healthcare The purpose of the study is to identify and systematize the drivers and barriers of digital transformation of personalized medicine at the regional level. Objectives: to analyze the managerial, technological and institutional conditions of digitalization in the subjects of the Russian Federation; to classify the main barriers and drivers of digital transformation; to identify contradictions between the targets of digitalization and real regional practice. Methodology. The research uses methods of institutional analysis, a structural and functional approach, a comparative analysis of regional cases, as well as a meaningful analysis of strategic and regulatory documents in the field of healthcare. Results. The key drivers of digitalization are highlighted: government support, the development of digital technologies and AI, managerial leadership at the regional level, as well as the growing public demand for personalized medical care. Regulatory, personnel, infrastructural, and organizational constraints are among the barriers. Systemic contradictions between the tasks of digitalization and the capabilities of the current institutional environment have been established. A multilevel classification of influencing factors is proposed, taking into account the macro, meso, and micro levels of digital transformation management. Conclusions. Effective implementation of personalized medicine in Russian regions is possible provided that regional specifics are taken into account, management structures develop digital maturity, and institutional and resource barriers are eliminated. The results of the study can be used to design adaptive digital healthcare strategies in the constituent entities of the Russian Federation.

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