Methods and systems for promoting glucose management

A system of simulating a user's body's glucose response to various actions, the system comprising a user interface, a processor, and a memory storing instructions to cause the processor to perform a method comprising:

• displaying glucose concentration data versus time on a user interface, the glucose concentration data versus time representing a user's past and present glucose level;
• receiving user input on the user interface, the user input representing a simulated action to be taken by the user, the simulated action potentially affective of glucose levels;
• based on the received user input and the glucose concentration data, generating, using a processor, first simulated data corresponding to the user's glucose level as affected by the simulated action;
• identifying a computer simulated action to be taken, the computer simulated action representing an action effecting glucose level;
• based on the computer simulated action, generating second simulated data corresponding to the user's glucose level as effected by the computer simulated action;
• and
• displaying the first simulated data or the second simulated data.

A method of operating a customized bolus calculator, the method comprising:

• receiving data about a meal consumed by the host during a meal time period;
• receiving data about insulin provided to the host during the meal time period, wherein the host insulin data comprises a first insulin data point from a start of the meal time period and a second insulin data point from an end of the meal time period;
• receiving data about a host glucose concentration during the meal time period, wherein the host glucose concentration data comprises a first glucose concentration data point from the start of the meal time period and a second glucose concentration data point from the end of the meal time period;
• learning a personalized meal interpretation for the host based on the host meal data, host insulin data, and host glucose concentration data, wherein the learning comprises comparing the first insulin data point and the first glucose concentration data point to the second insulin data point, second glucose concentration data point, and the host meal data to determine the personalized meal interpretation;
• and
• calculating an insulin bolus calculation based on the personalized meal interpretation.