System and method for creating a personalized tool predicting a time course of blood glucose affect in diabetes mellitus

A method for creating a personalized tool predicting a time course of blood glucose affect in diabetes mellitus, comprising:

• selecting a substance whose introduction into a diabetic patient triggers a physiological effect relative to the diabetic patient's blood glucose;
• determining a time course and an amplitude of change over which the physiological effect is expected to occur;
• adjusting the time course and the amplitude of change in relation to a factor specific to the physiological effect on the diabetic patient;
• and
• modeling the physiological effect on a curve with the time course and the amplitude of change mapped as a function of a quantity of the substance.

A system for establishing a tool of blood glucose change for diabetes mellitus management in an individual patient, comprising:

• a database comprising factors specific to a diabetic patient, comprising:
• an insulin sensitivity for an insulin preparation for treatment of diabetes mellitus;
• and
• a carbohydrate sensitivity for a known quantity of carbohydrate, which is measured postprandial after a fixed time period;
• a modeler module configured to build a management tool for the diabetic patient, comprising:
• a time course for a dose of the insulin preparation with an amplitude of change proportioned to the insulin sensitivity;
• and
• a time course for an amount of carbohydrate with an amplitude of change proportioned to the carbohydrate sensitivity;
• and
• a calibration module configured to calibrate the management tool by aggregating feedback from testing of blood glucose into at least one of the insulin and the carbohydrate sensitivities.

A method for establishing a tool of blood glucose change for diabetes mellitus management in an individual patient, comprising:

• determining factors specific to a diabetic patient, comprising:
• identifying an insulin sensitivity for an insulin preparation for treatment of diabetes mellitus;
• and
• identifying a carbohydrate sensitivity for a known quantity of carbohydrate, which is measured postprandial after a fixed time period;
• generating a management tool for the diabetic patient, comprising:
• mapping, a time course for a dose of the insulin preparation with an amplitude of change proportioned to the insulin sensitivity;
• and
• mapping a time course for an amount of carbohydrate with an amplitude of change proportioned to the carbohydrate sensitivity;
• and
• calibrating the management tool by aggregating, feedback from testing, of blood glucose into at least one of the insulin and the carbohydrate sensitivities.