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At the present time, characterised by increasing complexity of not just socio-economics systems, decision-making in positions of executive management is becoming increasingly difficult. Although more and more attention is dedicated to use of information and communication technologies in corporate sector and organizations collect unprecedented amount of very detailed data from all areas, their real nature is often not considered. Data, information and knowledge, through which we can achieve real understanding of causes of the observed systems behaviour, are necessary basis for ability for prediction of tomorrow's effects of today's decisions. This thesis aims to highlight the essence of data, information and knowledge in organization and the necessity of systemic perception for creating efficient and effective decisions. The second part of this thesis presents design of system-dynamic model (including user interface), which explains the mechanisms of health care volume accounting in medical facilities with more departments. The model should facilitate understanding of functioning of hospitals by the public, and respect of general nature of medical facilities functioning to create a base for robust model-oriented decision support system for the management.