Abstract: An electronic display (10?) includes a graph representing a magnitude of a sensed physiological condition versus time. A background behind the graph is color coded delineated, such as to depict a normal range for the physiological condition and one or more abnormal ranges. This provides instant color-coded feedback to the clinician of the meaning of the graph. When a clinician selects a medication or treatment, a database is searched to generate an expectation range (42a, 42b, 42c, 42d, 44a, 46c) depicting how the sensed physiological condition is expected to move after administration of the medication or treatment. This enables the clinician to compare treatments and, after a treatment is selected, to receive easy-to-interpret feedback as to whether the sensed physiological condition is responding as expected to the treatment.

Abstract: An electronic display (10?) includes a graph representing a magnitude of a sensed physiological condition versus time. A background behind the graph is color coded delineated, such as to depict a normal range for the physiological condition and one or more abnormal ranges. This provides instant color-coded feedback to the clinician of the meaning of the graph. When a clinician selects a medication or treatment, a database is searched to generate an expectation range (42a, 42b, 42c, 42d, 44a, 46c) depicting how the sensed physiological condition is expected to move after administration of the medication or treatment. This enables the clinician to compare treatments and, after a treatment is selected, to receive easy-to-interpret feedback as to whether the sensed physiological condition is responding as expected to the treatment.

Abstract: A physiological data analysis component (10) determines a condition of an individual. The physiological data analysis component (10) includes an input component (12) that receives a plurality of different physiological parameters of the individual. A classification component (20) of the physiological data analysis component (10) maps these parameters to a multi-dimensional space having a plurality of regions corresponding to two or more conditions. The classification component (20) determines the condition of the individual based on the region the physiological parameters mapped within. An output component (24) of the physiological data analysis component (10) conveys the condition of the individual to a user of the physiological data analysis component (10).