[A system for monitoring quality, outcomes and health care costs]. / Systém sledování kvality, výsledku a nákladu zdravotní péce.

Specialised form of database named DataCube for assessment of quality, outcomes and costs of the healthcare in cardiac surgery was built at the Institute of Clinical and Experimental Medicine (IKEM). Risk stratification of patients was done using Bayes predictive model. Such prediction well correlated with calculated costs. The results achieved promise the system to become an important decision making tool, which may improve identification of high risk patients.