System and method to manage diabetes based on glucose median, glucose variability, and hypoglycemic risk

A method for determining glycemic risk based on analysis of glucose data, the method comprising:

• storing in a non-volatile memory a glucose data processing program configured to program a processor to analyze received glucose data and from the analysis, produce a display;
• receiving glucose data;
• accessing the non-volatile memory and running the glucose data processing program;
• analyzing the received glucose data to determine an estimate of a hypoglycemia measure;
• analyzing the received glucose data to determine a central tendency of the data;
• analyzing the received glucose data to determine a spread of the data from the central tendency;
• control a display to visually present differences of the glucose in comparison to the central tendency of the glucose data;
• and
• controlling a display to visually present a glucose control measure that includes an assessment of the glucose data in the categories of likelihood of low glucose, median glucose, and variability of glucose below the median with visual indicators conveying high, moderate, and low about each category.

A system for identifying a self-care behavior performed by a patient of therapeutic importance, the system comprising:

• a nonvolatile memory in which is stored a plurality of glucose data representative of the sensed glucose of a patient over a period of time,
• a display configured to display data representative of an identified self-care behavior;
• and
• a processor programmed to retrieve the glucose data from the nonvolatile memory and search the data for episodes of interest, select a kernel episode for a search routine, construct episode chains of a sequence of episodes and logic rules for the inclusion and exclusion of episodes, associate episode chains with a diabetes self-care behavior, and forward display data to the display for presentation of the findings of the search algorithms.