Research areas: medical informatics, neural networks, clinical decision support, semantic interoperability. Research project: Semantically interoperable framework for clinical decision support in personalized healthcare. Professional activity: In his academic work, Georgy Kopanitsa tries to make healthcare transparent for professionals and accessible for patients through digitalization. The ultimate goal is to develop a theory of analysis and synthesis of intelligent medical information systems and methods of their modeling and design. Currently, he is focusing on the following topics: - Standardization of medical data and treatment workflows to provide process-level interoperability, - Clinical decision support services to analyze and predict clinical paths, - Patient empowerment tools to allow the management and active contribution of self-observation data to increase adherence of the patients for better clinical outcomes.