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3.3.9 Medical informatics

1. information, mathematical and computer modeling in medicine. Modeling of physiological processes of the organism in norm and pathology. 2. Modeling in population studies, epidemiology, prevention and clinical medicine. 3. Development of computer methods, databases and software tools for obtaining, accumulation, processing, transmission and systematization of medical and environmental data for use in therapeutic, diagnostic, rehabilitation, preventive and educational processes. 4. Development of theoretical issues of telemedicine and creation of applied telemedicine systems for consultative, managerial and educational purposes. 5. Development of algorithms for prevention, diagnosis, prognosis, treatment; models and algorithms for individual and group risk assessment. 6. Creation of models, algorithms and technologies for processing and recognizing signals and images, drawing conclusions and forms of representation in medical and biological research. Development of new technologies for visualization of medical and biological information. Development of models and methods for building brain-computer interfaces and computer biocontrol systems. 7. Informatization of clinical practice. Elements of a medical worker's activity as an object of informatization. Structurization and formalization of medical information. 8. Models and standards of information interaction, including terminological systems to ensure semantic compatibility of software products and systems. Semantic analysis of medical and biological data. 9. Medical knowledge engineering in information extraction, conceptualization, visualization and formalization of knowledge. Development of knowledge bases for use in medical diagnostic and educational processes. 10. Knowledge-based analysis of medical information. Obtaining new knowledge based on big data processing. 11. Intelligent systems for clinical practice. Clinical decision support systems. Systems in the field of health saving. 12. Systems of medical data and knowledge management in research and clinical activities, in medical education. 13. Ontology design. 14. Information support systems for medical and biological research. Information analysis to identify promising areas of medical science. 15. Application of system analysis methods to solve health care problems. 16. Development of methods, algorithms and information technologies for health care management. Creation of models, algorithms and information technologies for the construction of registers by medical directions. 17. Methods and algorithms of intellectual support of managerial decision-making in healthcare. Situational analysis and management in the system of population health protection.