The global pandemic of COVID-19 has brought several new challenges for a wide range of scientific disciplines. Researchers from Masaryk University helped to address many of these issues. In general, quick and straightforward access to relevant and valid information is crucial for providing objective decision-making support when dealing with any possible epidemic situation in the Czech Republic in future, which might put pressure on the health system again. It can also contribute to evaluating better the effectiveness of the measures taken in the long term. This case study aims to present a solution for an online analytical tool for monitoring epidemic situations, taking into account the available options for managing bed, equipment and staff capacities and prospectively modelling the burden of the population under study, including its structure determined by the different stages of the disease and other factors. A robust web-based application has been designed to meet the requirements of integrating different data sources, including real-time analysis, and providing transparent interactive reporting of current status over available data in a standardised format. Its architecture allows for a quick and easy selection of suitable predictive models in several steps, then populating them with sample or custom data inputs according to the defined structure, setting the necessary parameters together with model calibration, and then displaying the visualisation of the mentioned models. An integral part of this is reporting the results of the predictions about the data describing the occupancy of inpatient care capacities.