Big data and AI as drivers of healthcare transformation in the digital age

This article examines the impact of Big Data and Artificial Intelligence (AI) technologies on systemic transformation of healthcare in the context of digitalization. The study focuses on the mechanisms of integration of these technologies into clinical practice, management of healthcare institutions and public healthcare. A comprehensive analysis of key technological solutions, including predictive analytics, clinical decision support systems, personalized medicine and population health monitoring is conducted. Based on international experience, patterns between the implementation of innovative technologies and improved healthcare performance indicators are identified. The results demonstrate a significant impact of the integration of Big Data and AI on reducing medical errors (by 18-27%), optimizing resource allocation (savings up to 15%) and increasing the availability of healthcare. The paper also presents the main barriers to scaling these technologies, including data standardization issues, ethical and legal issues and resistance to change among medical personnel. A conceptual model of digital transformation of healthcare is proposed, taking into account regional specifics and the level of technological development.