A. Salatian and J. Hunter
Intensive Care depends on sophisticated life support technology. Effective management of devicesupported patients is complex, involving the interpretation of many variables, comparative evaluation of numerous therapeutic options, and control of various patient-management parameters. Raw data, when taken literally, can lead to the wrong interpretation of the patient state. We propose a system which processes raw data as it arrives for intelligent alarming and retrospectively for summarisation and state assessment, using a temporal expert system which incorporates both associational and model-based reasoning.