A computer-implemented method of visualizing time-dependent data is disclosed. The method comprises loading at least a first set of time-dependent data into a computer. The method also comprises color coding the at least first set of time-dependent data with the computer. Further, the method comprises generating an output from the computer such that clinically significant excursions in the at least first set of time-dependent data are visually identified. The at least first set of time-dependent data may be sorted according to a plurality of configurable time periods. The color coding step may include selecting at least one of a color and a brightness as a function of numerical values of the time-dependent data. A computer-implemented method of visualizing time-dependent data of at least two time-dependent sets of data is also disclosed. The method comprises loading at least a first and second set of time-dependent data into the computer. The method also comprises calculating a percent change between the first and second set of time-dependent data. Further, the method comprises color coding the percent change between the first and second set of time-dependent data and generating an output from the computer such that clinically significant excursions in the percent change between the at least first and second set of time-dependent data are visually identified. The at least first and second set of time-dependent data is sorted according to a plurality of configurable time periods, and the color coding step includes selecting at least one of a color and a brightness as a function of the percent change.