The thesis describes the architecture of the system, which helps health professionals better understand the various conditions and an impact of observations on them. The system works on the basis of the knowledge from large amounts of clinical data. In this thesis, the data is being derived from FHIR servers and it is program generated. In the core of the architecture is a web application that can be accessed by the user. Its purpose is to provide an appropriate environment where statistical analysis of data can be performed. The analysis is performed by an algorithm that calculates the importance factors for individual measurements of patients and returns them according to their value. With the help of this system, the user has a better insight into various conditions. The system is designed for the needs of health care professionals who are responsible for diagnosing patients and appreciate a better overview of conditions. The architecture consists of two key processes, namely the input of new data and the computing of the analysis results.
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