title: [A system for monitoring quality, outcomes and health care costs].
abstract: 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.
authors.affiliation: Institut klinické a experimentální medicíny, Praha. stejskal@hda.cz
authors.forename: L
authors.initials: L
authors.lastname: Stejskal
authors.forename: D
authors.initials: D
authors.lastname: Hackajlo
authors.forename: K
authors.initials: K
authors.lastname: Filip
authors.forename: J
authors.initials: J
authors.lastname: Pirk
authors.forename: J
authors.initials: J
authors.lastname: Partis
mesh_terms: D006348:Cardiac Surgical Procedures / Q000191:economics / Q000401:mortality; D018153:Czech Republic; D017721:Hospital Costs; D006751:Hospital Information Systems; D006801:Humans; D017063:Outcome Assessment, Health Care; D011785:Quality Assurance, Health Care; D012308:Risk Management