Abstract:

The high quality of specialized medical training in higher education institutions plays an important role in shaping future physicians as specialists and as individuals with certain skills and qualities. The advent of modern technology in the field of education offers opportunities to enhance learning using mobile software systems to process analyze and model information. In medical education, new methods can be applied to improve the qualification of future medics based on databases and software tools for their creation, storage, use, processing and modeling of physiological information for patients. Generating large amounts of data requires the placement of medical information on remote servers and the use of cloud technologies for their long-term storage.

The paper presents an information database, a software system to work with, and advanced mathematical technologies used to process physiological data from patients in medical research. The database is composed of Holter cardio data obtained through 24-hour monitoring of individuals with different health status. The physiological data have been divided into differentiated groups according to the respective disease, which makes it easier to work with them in storage and in searching the database.

The paper describes the functionality of a software system for the storage, mathematical processing and modeling of medical data that can be used to train future professionals. The software system will be able to be installed as a mobile application and used by the students to increase their knowledge, improve the learning of the study material and search for information in the created cardiology database. This approach will enable students to work in two interrelated stages of their learning: a learning stage and a stage of applying the learning, which stages will be accompanied by gaining additional knowledge and skills.

Keywords:

Higher education, medical training, software system, physiological database, mathematical technologies.