Abstract
The management of narcosis open-heart surgery imposes strict requirements on the quality of the anesthesiologist's attentiveness and decisions during his task of patient monitoring and controlling the patient's vital parameterss. It is assumed that knowledge-based decision support can assist the anesthesiologist, provided that the human-computer-interaction is carefully designed and the knowledge base provides adequate concepts for modelnq the main structures of medical reasoning. An approach to design such a knowledge-based decision support system for a specific field of anesthesia, AES-2 (Anesthesia Decision Support System), is presented. This system generates both intelligent alarms and appropriate therapy recommendations.
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