Means and method for improved glycemic control for diabetic patients

1. A method comprising:

receiving, at data processing hardware, a blood glucose measurement of a patient and patient condition parameters during a pre-meal time from a user device controlled by the patient, the patient condition parameters comprising a number of carbohydrates consumed by the patient and an exercise parameter for the patient, and the pre-meal time associated with a meal type corresponding to one of breakfast, lunch, or dinner, wherein the user device is configured to:

receive, in a user interface executing on the user device, inputs from the patient for each patient condition parameter during the pre-meal time; and

transmit the patient condition parameters from the user device to the data processing hardware;

determining, by the data processing hardware, a recommended dosage of insulin for the patient to administer based on the patient condition parameters;

storing, by the data processing hardware, the recommended dosage of insulin and the patient condition parameters in memory hardware in communication with the data processing hardware;

transmitting the recommended dosage of insulin from the data processing hardware to the user device, the recommended dosage of insulin, when received by the user device, causing the user interface to display the recommended dosage of insulin;

obtaining, by the data processing hardware, an insulin sensitivity factor for the patient and a target blood glucose range defined by upper and lower blood glucose limits for the patient from the memory hardware, the insulin sensitivity factor and the target blood glucose range inputted to the memory hardware by a medical professional computing device associated with an authorized medical professional;

determining, by the data processing hardware, whether the blood glucose measurement exceeds a midpoint of the target blood glucose range for the patient; and

when the blood glucose measurement exceeds the midpoint of the target blood glucose range for the patient:

determining, by the data processing hardware, a correction dose based on a function of the blood glucose measurement, the mid-point of the target blood glucose range and the insulin sensitivity factor; and

transmitting the correction dose from the data processing hardware to the user device, the correction dose, when received by the user device, causing the user interface executing on the user device to display the correction dose,

wherein the correction dose is calculated as follows:

CD

=

(

BG

-

T

m

)

(

1700

⁢

(

(

T

m

-

60

)

×

S

1

×

24

)

)

wherein CD is the correction dose, BG is the blood glucose measurement, T m is the mid-point of the target blood glucose range, and S 1 is the insulin sensitivity factor.

2. The method of claim 1 , wherein determining the recommended dosage of insulin for the patient to administer comprises:

determining a recommended meal bolus based on the number of carbohydrates consumed by the patient for the associated meal type;

obtaining previous patient condition parameters and a previous dosage of insulin administered by the patient for the associated meal type from the memory hardware, the previous patient condition parameters comprising a previous exercise parameter substantially equal to the exercise parameter associated with the patient condition parameters received during the pre-meal time;

obtaining a previous next scheduled blood glucose measurement from the memory hardware, the previous next scheduled blood glucose measurement resulting from the previous dosage of insulin administered by the patient;

determining whether the previous next scheduled blood glucose measurement is less than a hypoglycemia blood glucose limit for the patient;

when the previous next scheduled blood glucose measurement is less than the hypoglycemia blood glucose limit, determining a reduced insulin dosage value to prevent a next scheduled blood glucose measurement from falling below the hypoglycemia blood glucose limit; and

subtracting the reduced insulin dosage value from the recommended meal bolus to determine the recommended dosage of insulin for the patient to administer.

3. The method of claim 2 , wherein determining the recommended meal bolus comprises:

obtaining a carbohydrate-to-insulin ratio for the patient from the memory hardware, the carbohydrate-to-insulin ratio input to the memory hardware by a medical professional computing device associated with an authorized medical professional; and

dividing the number of carbohydrates consumed by the patient by the carbohydrate-to-insulin ratio to determine the recommended meal bolus.

4. The method of claim 3 , wherein the carbohydrate-to-insulin ratio is calculated as follows:

CIR =450 ×TDD

wherein CIR is the carbohydrate-to-insulin ratio and TDD is a total prescribed daily dose of insulin for the patient based on a weight of the patient.

5. The method of claim 1 , wherein the exercise parameter comprises a duration and/or severity of an exercise planned by the patient or recently completed by the patient.

6. The method of claim 5 , further comprising:

determining, by the data processing hardware, carbohydrate intake instructions for the patient including a predetermined amount of carbohydrates for the patient to ingest based on the duration and/or severity of the exercise; and

transmitting the carbohydrate intake instructions to the user device, the user instructions when received by the user device, causing the user interface executing on the user device to display the predetermined amount of carbohydrates for the patient to ingest.

7. The method of claim 1 , wherein the user device is configured to:

receive the blood glucose measurement from a blood glucose meter in communication with the user device; and

transmit the blood glucose measurement of the patient to the data processing hardware.

8. The method of claim 1 , wherein the user device is configured to:

receive, in the user interface, a blood glucose input from the patient indicating the blood glucose measurement; and

transmit the blood glucose measurement of the patient to the data processing hardware.

9. A system comprising:

a user device controlled by a patient and having a screen, the user device configured to:

display a user interface on the screen;

receive, in the user interface displayed on the screen, inputs from the patient for patient condition parameters during a pre-meal time, the patient condition parameters comprising a number of carbohydrates consumed by the patient and an exercise parameter for the patient, and the pre-meal time associated with a meal type corresponding to one of breakfast, lunch, or dinner; and

data processing hardware in communication with the user device, the data processing hardware configured to perform operations comprising:

receiving the patient condition parameters and a blood glucose measurement of the patient during the pre-meal time from the user device;

determining a recommended dosage of insulin for the patient to administer based on the patient condition parameters;

storing the recommended dosage of insulin and the patient condition parameters in memory hardware in communication with the data processing hardware;

transmitting the recommended dosage of insulin from the data processing hardware to the user device, the recommended dosage of insulin, when received by the user device, causing the user device to display the recommended dosage of insulin in the user interface;

obtaining, by the data processing hardware, an insulin sensitivity factor for the patient and a target blood glucose range defined by upper and lower blood glucose limits for the patient from the memory hardware, the insulin sensitivity factor and the target blood glucose range inputted to the memory hardware by a medical professional computing device associated with an authorized medical professional;

determining, by the data processing hardware, whether the blood glucose measurement exceeds a midpoint of the target blood glucose range for the patient; and

when the blood glucose measurement exceeds the midpoint of the target blood glucose range for the patient:

determining, by the data processing hardware, a correction dose based on a function of the blood glucose measurement, the mid-point of the target blood glucose range and the insulin sensitivity factor; and

transmitting the correction dose from the data processing hardware to the user device, the correction dose, when received by the user device, causing the user interface executing on the user device to display the correction dose,

wherein the correction dose is calculated as follows:

CD

=

(

BG

-

T

m

)

(

1700

⁢

(

(

T

m

-

60

)

×

S

1

×

24

)

)

wherein CD is the correction dose, BG is the blood glucose measurement, T m is the mid- point of the target blood glucose range, and S 1 is the insulin sensitivity factor.

10. The system of claim 9 , wherein determining the recommended dosage of insulin for the patient to administer comprises:

determining a recommended meal bolus based on the number of carbohydrates consumed by the patient for the associated meal type;

obtaining previous patient condition parameters and a previous dosage of insulin administered by the patient for the associated meal type from the memory hardware, the previous patient condition parameters comprising a previous exercise parameter substantially equal to the exercise parameter associated with the patient condition parameters received during the pre-meal time;

obtaining a previous next scheduled blood glucose measurement from the memory hardware, the previous next scheduled blood glucose measurement resulting from the previous dosage of insulin administered by the patient;

determining whether the previous next scheduled blood glucose measurement is less than a hypoglycemia blood glucose limit for the patient;

when the previous next scheduled blood glucose measurement is less than the hypoglycemia blood glucose limit, determining a reduced insulin dosage value to prevent a next scheduled blood glucose measurement from falling below the hypoglycemia blood glucose limit; and

subtracting the reduced insulin dosage value from the recommended meal bolus to determine the recommended dosage of insulin for the patient to administer.

11. The system of claim 10 , wherein determining the recommended meal bolus comprises:

obtaining a carbohydrate-to-insulin ratio for the patient from the memory hardware, the carbohydrate-to-insulin ratio input to the memory hardware by a medical professional computing device associated with an authorized medical professional; and

dividing the number of carbohydrates consumed by the patient by the carbohydrate-to-insulin ratio to determine the recommended meal bolus.

12. The system of claim 11 , wherein the carbohydrate-to-insulin ratio is calculated as follows:

CIR =450 ×TDD

wherein CIR is the carbohydrate-to-insulin ratio and TDD is a total prescribed daily dose of insulin for the patient based on a weight of the patient.

13. The system of claim 9 , wherein the exercise parameter comprises a duration and/or severity of an exercise planned by the patient or recently completed by the patient.

14. The system of claim 13 , wherein the operations further comprise:

determining carbohydrate intake instructions for the patient including a predetermined amount of carbohydrates for the patient to ingest based on the duration and/or severity of the exercise; and

transmitting the carbohydrate intake instructions to the user device, the user instructions when received by the user device, causing the user device to display the predetermined amount of carbohydrates for the patient to ingest in the user interface.

15. The system of claim 9 , further comprising a blood glucose meter in communication with the user device and configured to measure blood glucose measurements of the patient, wherein the user device is configured to:

receive the blood glucose measurement from the blood glucose meter; and

transmit the blood glucose measurement of the patient to the data processing hardware.

16. The system of claim 9 , wherein the user device is configured to:

receive, in the user interface, a blood glucose input from the patient indicating the blood glucose measurement; and

transmit the blood glucose measurement of the patient to the data processing hardware.