Scientific-medical educational cluster as a tool for addressing strategic objectives in public health and healthcare organization at the regional level

The current stage of technological evolution in healthcare is characterized by the synergy of biomedical sciences and digital technologies, shaping a new paradigm of evidence-based medicine. Generative artificial intelligence (GenAI), with its potential to process heterogeneous data and generate predictive models, is a key driver for the personalization of medical services. This study conducted a multi-level analysis of the institutional and technological aspects of developing a scientific and medical cluster. A scientific-medical educational cluster (SMEC) represents a promising organizational and economic model aimed at consolidating the resources of science, education, practical healthcare, and business to achieve strategic public health goals. Aim: to study modern approaches to the development of scientific-medical educational clusters as a tool for addressing strategic objectives of public health and healthcare organization on the regional level. Material and methods. The study utilized a systems approach, a content analysis method for research data on the issue, and an analytical method for assessing the effectiveness of the cluster model in the context of Russian regions. Results. Key systemic limitations were identified: fragmented management, shortage of personnel and management competencies, and insufficient focus of scientific research on public health priorities. The challenges of forming scientific and medical educational clusters in the current context and ways to address them were identified. Conclusion. Organization of scientific-medical clusters is a key factor in the development of an innovative healthcare ecosystem, ensuring the integration of academic science, educational institutions, the business sector, and government regulation. Key factors for the success of scientific and medical educational clusters in the region include the leading role of the healthcare authority in coordinating all cluster participants; focus on public health priorities determined based on epidemiological analysis and monitoring data; integration of educational programs in artificial intelligence management and healthcare economics into cluster activities to train personnel capable of working in an interdisciplinary environment; investments in innovations with achievable medical, demographic and economic indicators.