The massive volume of hemodynamic data routinely availabie within the Cardiovascular Intensive Care Unit (CVICU) can adversely affect the quality, relevance, and timing of hemodynamic management decisions on patients after cardiac surgery. Yet, at the same time, the lack of appropriate treatment-outcome data and access to prior CV case histories deprives the clinician of any opportunity to improve personal decision-making skill and assess the effectiveness of vatriots tre:thent methods. This paper presents a formalized decision-support model for CVICU that incorporates expert and quantitative knowledge, as well as prior oulcome and case experience to augment the clinician's decision-making capability. This includes the use of optimal hemodynamic patterns derived from outcome analysis as therapy goals, expert rules and trend analysis to interpret incoming data, standardized protocols based on predefined hemodynamic patterns from clinical cases, and access to the database for similar case comparison. Most importantly, the model suggests an integrated approach where the clinical database not only is a documentation source for the patient, but also can serve as an oulcome research database where clinical experience can be formalized and combined with expert knowledge to influence future therapy decisions. At present, a prototype is being developed at the CVICU of the University of Alberta Hospitals on a Unix platform using ART-IM, C and Ingres. Once implemented, the prototype will be evaluated on a small group of CV patients for its effectiveness and acceptability to clinicians. O 1993 Academic Press. Inc.