Means and method for improved glycemic control for diabetic patients

• US 9,811,638 B2
• Filed: 10/03/2016
• Issued: 11/07/2017
• Est. Priority Date: 09/11/2012
• Status: Active Grant

• Current Assignee: Glytec LLC (Aseko, Inc.)
• Original Assignee: Aseko, Inc.
• Inventors: Booth, Robert C., Fischell, Robert E.
• Primary Examiner(s): SOREY, ROBERT A
• Application Number:
  US15/283,838
• Publication Number:
  US 20170024543A1
• Time in Patent Office: 400 Days
• CPC Class Codes: A61B 2562/0295 Strip shaped analyte sensors for apparatus classified in A61B5/145 or A61B5/157
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: G06F 3/04847 Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A glycemic control system includes a physician processor, remote processor, and a portable telephone having a data input mechanism, a display, and an internal processor for bi-directional communication with the physician'"'"'s processor and the remote processor. A patient inputs data to the internal processor responsive to input from the physician'"'"'s processor and then transmits the information to the remote processor where an optimized number of units to be administered is sent back and displayed on the portable telephone.

Claims

1. A method comprising:

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

storing, by the data processing hardware, the insulin sensitivity and the target blood glucose in memory hardware in communication with the data processing hardware;

receiving, at the data processing hardware, a current blood glucose measurement of the patient and a time period of the current blood glucose measurement from a user device controlled by the patient and in communication with the data processing hardware, wherein the user device;

receives the current blood glucose measurement and the time period of the current blood glucose measurement from a blood glucose meter in communication with the user device; and

transmits the current blood glucose measurement of the patient and the time period of the current blood glucose measurement to the data processing hardware;

in response to receiving the current blood glucose measurement from the user device, obtaining, by the data processing hardware, the insulin sensitivity factor for the patient and the target blood glucose range for the patient from the memory hardware;

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

when the current 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 current 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 a user interface executing on the user device to display the correction dose.

2. The method of claim 1, wherein the correction dose is calculated as follows:

3. The method of claim 1, further comprising:

receiving, at the data processing hardware, one or more patient condition parameters from the user device, wherein the user device is configured to;

display a list of patient condition parameters in the user interface executing on the user device;

receive, in the user interface, selection inputs from the patient for each patient condition parameter from the list of patient condition parameters; and

transmit the patient condition parameters to the data processing hardware; and

storing, by the data processing hardware, the one or more patient condition parameters in the memory hardware.

4. The method of claim 3, wherein the one or more patient condition parameters comprises at least one of a type of food, a quantity of food that the patient has ingested, a time when the patient ingested the food, or a future time when the patient plans on ingesting food.

5. The method of claim 3, wherein the one or more patient condition parameters comprises an indication of whether the patient is planning to go to sleep or has just awakened.

6. The method of claim 3, wherein the one or more patient condition parameters comprises at least one of an exercise parameter, an exercise intensity parameter, a stress parameter, or one or more physical parameters.

7. The method of claim 6, wherein the stress parameter corresponds to one of no level of stress, a medium level of stress, or a high level of stress.

8. The method of claim 3, wherein the one or more patient condition parameters comprises at least one of an indication of whether the patient is experiencing a fever, an indication of whether the patient is experiencing a menstrual period, or an indication of whether the patient is experiencing jet-lag.

9. The method of claim 1, further comprising:

determining, by the data processing hardware, whether the time period of the current blood glucose measurement is a pre-meal time and whether a meal type associated with the pre-meal time is one of breakfast, lunch, dinner, or snack; and

when the time period of the current blood glucose measurement is the pre-meal time and the meal type associated with the pre-meal time is one of breakfast, lunch, dinner or snack;

obtaining, by the data processing hardware, a previous meal bolus administered by the patient for the associated meal type from the memory hardware;

obtaining, by the data processing hardware, a previous next scheduled blood glucose measurement from the memory hardware, the previous next scheduled blood glucose measurement resulting from the previous meal bolus administered by the patient;

determining, by the data processing hardware, a current meal bolus based on the previous meal bolus and the previous next scheduled blood glucose measurement;

transmitting the current meal bolus from the data processing hardware to the user device, the current meal bolus, when received by the user device, causing the user interface executing on the user device to display the current meal bolus; and

storing the current meal bolus in the memory hardware.

10. The method of claim 1, further comprising:

in response to receiving the current blood glucose measurement from the user device, obtaining, by the data processing hardware, a hyperglycemia blood glucose limit and a hypoglycemia blood glucose limit for the patient from the memory hardware, the hyperglycemia blood glucose limit and the hypoglycemia blood glucose limit inputted to the memory hardware by the medical professional computing device;

determining, by the data processing hardware, whether the current blood glucose measurement is greater than the hyperglycemia blood glucose limit or less than the hypoglycemia blood glucose limit; and

when the current blood glucose measurement is greater than the hyperglycemia blood glucose limit or less than the hypoglycemia blood glucose limit;

transmitting an out-of-range blood glucose alert from the data processing hardware to the medical professional computing device;

receiving, at the data processing hardware, one of;

hyperglycemia patient instructions when the current blood glucose measurement is greater than the hyperglycemia blood glucose limit;

or

hypoglycemia patient instructions when the current blood glucose measurement is less than the hypoglycemia blood glucose limit from the medical professional computing device; and

transmitting the received one of the hyperglycemia patient instructions or the hypoglycemia patient instructions from the data processing hardware to the user device, the hyperglycemia patient instructions or the hypoglycemia patient instructions, when received by the user device, causing the user interface executing on the user device to display the hyperglycemia patient instructions or the hypoglycemia patient instructions.

11. The method of claim 10, further comprising, when the current blood glucose measurement is greater than the hyperglycemia blood glucose limit, determining, by the data processing hardware, the correction dose based on the function of the current blood glucose measurement, the mid-point of the target blood glucose range and the insulin sensitivity factor.

12. A system comprising:

a blood glucose meter configured to measure blood glucose measurements of a patient;

a user device having a screen and in communication with the blood glucose meter, the user device configured to;

receive a current blood glucose measurement of the patient and a time period of the current blood glucose measurement from the blood glucose meter; and

display a user interface on the screen; and

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

receiving 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 a medical professional computing device associated with an authorized medical professional;

storing the insulin sensitivity and the target blood glucose in memory hardware in communication with the data processing hardware;

receiving, after the user device receives the current blood glucose measurement and the time period of the blood glucose measurement from the blood glucose meter, the current blood glucose measurement of the patient and the time period of the current blood glucose measurement from the user device;

in response to receiving the current blood glucose measurement from the user device, obtaining the insulin sensitivity factor for the patient and the target blood glucose range for the patient from the memory hardware;

determining whether the current blood glucose measurement exceeds a midpoint of the target blood glucose range for the patient; and

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

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

transmitting the correction dose to the user device, the user device configured to display the correction dose in the user interface.

13. The system of claim 12, wherein the correction dose is calculated as follows:

14. The system of claim 12, wherein the operations of the data processing hardware further comprise:

receiving one or more patient condition parameters from the user device, wherein the user device is configured to;

display a list of patient condition parameters in the user interface;

receive, in the user interface, selection inputs from the patient for each patient condition parameter from the list of patient condition parameters; and

transmit the patient condition parameters to the data processing hardware; and

storing the one or more patient condition parameters in the memory hardware.

15. The system of claim 14, wherein the one or more patient condition parameters comprises at least one of a type of food, a quantity of food that the patient has ingested, a time when the patient ingested the food, or a future time when the patient plans on ingesting food.

16. The system of claim 14, wherein the one or more patient condition parameters comprises an indication of whether the patient is planning to go to sleep or has just awakened.

17. The system of claim 14, wherein the one or more patient condition parameters comprises at least one of an exercise parameter, an exercise intensity parameter, a stress parameter, or one or more physical parameters.

18. The system of claim 17, wherein the stress parameter corresponds to one of no level of stress, a medium level of stress, or a high level of stress.

19. The system of claim 14, wherein the one or more patient condition parameters comprises at least one of an indication of whether the patient is experiencing a fever, an indication of whether the patient is experiencing a menstrual period, or an indication of whether the patient is experiencing jet-lag.

20. The system of claim 12, wherein the operations of the data processing hardware further comprise:

determining whether the time period of the current blood glucose measurement is a pre-meal time and a meal type associated with the pre-meal time is one of breakfast, lunch, dinner, or snack; and

when the time period of the current blood glucose measurement is the pre-meal time and the meal type associated with the pre-meal time is one of breakfast, lunch, dinner or snack;

obtaining a previous meal bolus administered by the patient for the associated meal type from the memory hardware;

obtaining a previous next scheduled blood glucose measurement from the memory hardware, the previous next scheduled blood glucose measurement resulting from the previous meal bolus administered by the patient;

determining a current meal bolus based on the previous meal bolus and the previous next scheduled blood glucose measurement;

transmitting the current meal bolus to the user device, the user device configured to display the current meal bolus in the user interface; and

storing the current meal bolus in the memory hardware.

21. The system of claim 12, wherein the operations of the data processing hardware further comprise:

in response to receiving the current blood glucose measurement from the user device, obtaining a hyperglycemia blood glucose limit and a hypoglycemia blood glucose limit for the patient from the memory hardware, the hyperglycemia blood glucose limit and the hypoglycemia blood glucose limit inputted to the memory hardware by the medical professional computing device;

determining whether the current blood glucose measurement is greater than the hyperglycemia blood glucose limit or less than the hypoglycemia blood glucose limit; and

when the current blood glucose measurement is greater than the hyperglycemia blood glucose limit or less than the hypoglycemia blood glucose limit;

transmitting an out-of-range blood glucose alert to the medical professional computing device;

receiving one of;

hyperglycemia patient instructions when the current blood glucose measurement is greater than the hyperglycemia blood glucose limit;

or

hypoglycemia patient instructions when the current blood glucose measurement is less than the hypoglycemia blood glucose limit from the medical professional computing device; and

transmitting the received one of the hyperglycemia patient instructions or the hypoglycemia patient instructions to the user device, the user device configured to display the hyperglycemia patient instructions or the hypoglycemia patient instructions in the user interface.

22. The system of claim 21, wherein the operations of the data processing hardware further comprise, when the current blood glucose measurement is greater than the hyperglycemia blood glucose limit, determining the correction dose based on the function of the current blood glucose measurement, the mid-point of the target blood glucose range, and the insulin sensitivity factor.