Diabetes care management system

• US 7,937,255 B2
• Filed: 10/30/2007
• Issued: 05/03/2011
• Est. Priority Date: 01/10/1997
• Status: Expired due to Fees

• Current Assignee: Health Hero Network Incorporated (Robert Bosch GmbH)
• Original Assignee: Health Hero Network Incorporated (Robert Bosch GmbH)
• Inventors: Brown, Stephen J.
• Primary Examiner(s): JONES, HUGH M
• Application Number:
  US11/928,396
• Publication Number:
  US 20080109197A1
• Time in Patent Office: 1,281 Days
• Field of Search: 703/6
• US Class Current: 703/6
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: A61B 5/6896 Toys
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G01N 2035/00891 Displaying information to the operator
• CPC Class Codes: G01N 33/48792 Data management, e.g. communication with processing unit for in vivo diagnostics A61B5/0002; transmission systems for measured values G08C
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 20/13 delivered from dispensers
• 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 40/63 for local operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 70/20 relating to practices or guidelines
• CPC Class Codes: Y10S 128/92 Computer assisted medical diagnostics

Abstract

A diabetes care management system for managing blood glucose levels associated with diabetes, comprising a computing device and an insulin delivery device. The computing device generally includes (i) a memory comprising one or more optimal blood glucose values, one or more insulin dose values of a patient, one or more measured blood glucose values, and one or more scaling factors for weighting the impact on a future blood glucose value and that are customizable to an individual patient to predict the effect on the blood glucose of insulin dose actions performed by the individual patient, (ii) a microprocessor, in communication with the memory, programmed to calculate a further value, the further value being based on the insulin dose values, the optimal blood glucose values, and the scaling factors, (iii) a display configured to display information according to the further value, and (iv) a housing, wherein the memory and the microprocessor are housed within the housing, thereby providing a hand-held, readily transportable computing device. The insulin delivery device may deliver insulin in response to information associated with the further value.

Claims

1. A diabetes care management system for managing blood glucose levels associated with diabetes, comprising:

a computing device, comprising;

a memory configured to store (i) a plurality of optimal blood glucose values at a plurality of times, (ii) a plurality of carbohydrate intake values at said times, (iii) a plurality of measured blood glucose values of a patient at said times, and (iv) a plurality of optimal carbohydrate intake values at said times;

a microprocessor, in communication with said memory, said microprocessor programmed to (A) generate a plurality of scaling factors customized to said patient in response to changes in any one of said carbohydrate intake values or said measured blood glucose values at any one of said times and (B) calculate a plurality of future blood glucose values based on (i) a plurality of differentials, one of said differentials calculated as one of said scaling factors multiplied by differences between one of said carbohydrate intake values and one of said optimal carbohydrate intake values, (ii) a sum of said differentials plus (iii) a difference between one of said measured blood glucose values and a corresponding one of said optimal blood glucose values; and

an insulin delivery device configured to deliver insulin in response to said patient initiating said delivery after reading one of said future blood glucose values.

2. The system of claim 1, wherein (i) said optimal blood glucose values are further based on one or more insulin dose values and (ii) said differentials are based on said one or more insulin dose values.

3. The system of claim 1, wherein said future blood glucose values are displayed as multiple values in graphical form.

4. The system of claim 3 wherein said display of said future blood glucose values instruct the patient to consider appropriate carbohydrate actions.

5. The system of claim 1, further comprising an electronic data recording device configured to receive said plurality of measured blood glucose values.

6. The system of claim 1, wherein (i) said optimal blood glucose values are further based on one or more exercise values and (ii) said differentials are based further upon said one or more exercise values.

7. The system of claim 1, wherein said microprocessor is further programmed to determine one or more of said plurality of scaling factors from one or more physiological parameters including body mass, metabolism rate, fitness level or hepatic or peripheral insulin sensitivity, or combinations thereof.

8. The system of claim 1, wherein said microprocessor is further programmed to determine one or more of said plurality of scaling factors from insulin sensitivity.

9. A diabetes care management system for managing blood glucose levels associated with diabetes, comprising:

a computing device, comprising;

a memory configured to store (i) a plurality of optimal blood glucose values at a plurality of times, (ii) a plurality of carbohydrate intake values at said times, (iii) a plurality of measured blood glucose values of a patient at said times, and (iv) a plurality of optimal carbohydrate intake values at said times;

a microprocessor, in communication with said memory, said microprocessor programmed to (A) generate a plurality of scaling factors customized to said patient in response to changes in any one of said carbohydrate intake values or said measured blood glucose values at any one of said times and (B) calculate a plurality of future blood glucose values based on (i) a plurality of differentials, one of said differentials calculated as one of said scaling factors multiplied by differences between one of said carbohydrate intake values and one of said optimal carbohydrate intake values, (ii) a sum of said differentials plus (iii) a difference between one of said measured blood glucose values and a corresponding one of said optimal blood glucose values and (iv) a future one of said optimal carbohydrate intake values; and

a display configured to display information, based on one or more of said future blood glucose values.

10. The system of claim 9, wherein (i) said optimal blood glucose values are further based on one or more exercise values and (ii) said differentials are based on said one or more exercise values.

11. The system of claim 9, wherein said display of said optimal blood glucose values instructs the patient to consider appropriate carbohydrate actions.

12. The system of claim 9, wherein (i) said optimal blood glucose values are further based on one or more insulin dose values and (ii) said differentials are based further upon said one or more insulin dose values.

13. The system of claim 9, wherein said microprocessor is further programmed to determine one or more of said plurality of scaling factors from one or more physiological parameters including body mass, metabolism rate, fitness level or hepatic or peripheral insulin sensitivity, or combinations thereof.

14. The system of claim 9, wherein said microprocessor is further programmed to determine one or more of said plurality of scaling factors from body mass or metabolism rate or both.

15. The system of claim 9, wherein said optimal blood glucose values are further based on one or more optimal self care values including an optimal food exchange parameter value expressed in grams of carbohydrates, an optimal insulin dose parameter value expressed in units of insulin, or an optimal exercise duration parameter value expressed in fifteen minute units of exercise, or combinations thereof.

16. The system of claim 15, wherein said optimal carbohydrate intake values are respectively determined based on one gram of carbohydrate being expected to raise the blood glucose levels of the patient by 4 mg/dL, one unit of insulin being expected to lower the blood glucose levels of the patient by 40 mg/dL, or fifteen minutes of exercise being expected to lower the blood glucose levels of the patient by 5 mg/dL, or said combinations thereof.

17. A diabetes care management system for managing blood glucose levels associated with diabetes, comprising:

a computing device, comprising;

a memory configured to store (i) a plurality of optimal blood glucose values at a plurality of times, (ii) a plurality of carbohydrate intake values at said times, (iii) a plurality of measured blood glucose values of a patient at said times, and (iv) a plurality of optimal carbohydrate intake values at said times;

a microprocessor, in communication with said memory, said microprocessor programmed to (A) generate a plurality of scaling factors customized to said patient in response to changes in any one of said carbohydrate intake values or said measured blood glucose values at any one of said times and (B) calculate a future blood glucose value based on (i) a plurality of differentials, one of said differentials calculated as one of said scaling factors multiplied by differences between one of said carbohydrate intake values and one of said optimal carbohydrate intake values, (ii) a sum of said differentials plus (iii) a difference between one of said measured blood glucose values and a corresponding one of said optimal blood glucose values; and

a display configured to display information based on said future blood glucose value; and

a housing, wherein said memory and said microprocessor are housed within said housing, thereby providing a hand-held, transportable computing device; and

an insulin delivery device configured to deliver insulin in response to said future blood glucose value.

18. The system of claim 17, wherein (i) wherein said optimal blood glucose values are further based on one or more insulin dose values and (ii) differentials are based on said one or more insulin dose values.

19. The system of claim 17, further comprising an output port coupled to said microprocessor to (i) establish a communication link between said hand-held, transportable computing device and a healthcare provider computer and (ii) transmit and receive data therebetween.

20. The system of claim 17, further comprising an electronic data recording device configured to measure said plurality of measured blood glucose values.

21. The system of claim 17, wherein said display of said future blood glucose value instructs the patient to consider appropriate exercise actions including minutes of exercise or durations of exercise in 15 minute units, or combinations thereof.

22. The system of claim 17, further comprising an electronic data recording device configured to record one or more prior blood glucose values.

23. The system of claim 17, wherein (i) said optimal blood glucose values are further based on one or more optimal insulin dose values, optimal food intake values, or combinations thereof, and (ii) said differentials are based further upon said one or more optimal insulin dose values, said optimal food intake value or said combinations thereof.

24. The system of claim 17, wherein said microprocessor is further programmed to determine one or more of said plurality of scaling factors from one or more physiological parameters including body mass, metabolism rate, fitness level or hepatic or peripheral insulin sensitivity, or combinations thereof.

25. The system of claim 17, wherein said optimal blood glucose values are further based on one or more optimal self care values including an optimal food exchange parameter value expressed in grams of carbohydrates, an optimal insulin dose parameter value expressed in units of insulin, or an optimal exercise duration parameter value expressed in fifteen minute units of exercise, or combinations thereof.