DIABETES CARE MANAGEMENT SYSTEM

• US 20080052057A1
• Filed: 10/29/2007
• Published: 02/28/2008
• Est. Priority Date: 01/10/1997
• Status: Active Grant

• Current Assignee: Stephen Brown
• Original Assignee: Stephen Brown
• Inventors: Brown, Stephen
• Granted Patent: US 7,949,507 B2
• Time in Patent Office: Days
• US Class Current: 703/11
• 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 self care 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 self care actions performed by the individual patient; (ii) a microprocessor, in communication with the memory, programmed to (A) determine the one or more scaling factors from one or more physiological parameters including body mass, metabolism rate, fitness level or hepatic or peripheral insulin sensitivity, or combinations thereof, and (B) calculate a further value, the further value being based on the self care values, and on the one or more optimal blood glucose values, and on the one or more scaling factors; and (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) a computing device, comprising;

(i) a memory comprising one or more optimal blood glucose values, one or more self care 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 self care actions performed by the individual patient;

(ii) a microprocessor, in communication with said memory, programmed to

(A) determine said one or more scaling factors from one or more physiological parameters including body mass, metabolism rate, fitness level or hepatic or peripheral insulin sensitivity, or combinations thereof, and

(B) calculate a further value, said further value being based on said self care values, and on said one or more optimal blood glucose values, and on said one or more scaling factors; and

(iii) a display configured to display information according to said further value; and

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

(b) an insulin delivery device for delivering insulin in response to information associated with said further value.

2. The system of claim 1, wherein said one or more physiological parameters include insulin sensitivity.

3. The system of claim 1, wherein said memory comprises one or more exercise values, wherein said microprocessor is programmed to calculate said further value based on said one or more exercise values.

4. The system of claim 1, wherein said memory comprises one or more carbohydrate intake values, wherein said microprocessor is programmed to calculate said further value based on said one or more carbohydrate intake values.

5. The system of claim 4, wherein said carbohydrate intake values comprise grams of carbohydrates.

6. The system of claim 1, wherein said memory comprises one or more insulin dose values, wherein said microprocessor is programmed to calculate said further value based on said one or more insulin dose values.

7. The system of claim 6, wherein said insulin dose values comprise units of insulin.

8. The system of claim 1, further comprising an electronic data recording device including a glucose measurement device for measuring the blood glucose values, and from which the measured blood glucose values are stored in the memory.

9. The system of claim 1, wherein said display of said further value enables the patient to consider appropriate insulin dose action including injecting units of insulin, food intake actions including intake of grams of carbohydrates, or exercise actions including minutes of exercise or durations of exercise in 15 minute units, or combinations thereof.

10. The system of claim 1, wherein said memory further comprises one or more optimal insulin dose, food intake or exercise values, or combinations thereof, and said further value is calculated based further upon said one or more optimal insulin dose, food intake or exercise values, or combinations thereof.

11. The system of claim 1, wherein said memory comprises one or more food intake values, wherein said microprocessor is also programmed to calculate said further value based on said one or more food intake values.

12. The system of claim 11, wherein said food intake values comprise grams of carbohydrates.

13. The system of claim 1, wherein the memory comprises 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.

14. The system of claim 13, wherein said values are respectively determined based on one gram of carbohydrate being expected to raise the patient'"'"'s blood glucose level by 4 mg/dL, one unit of insulin being expected to lower the patient'"'"'s blood glucose level by 40 mg/dL, or fifteen minutes of exercise being expected to lower the patient'"'"'s blood glucose level by 5 mg/dL, or said combinations thereof.

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

(a) a computing device, comprising;

(i) a memory comprising one or more optimal blood glucose values, one or more measured blood glucose values, one or more insulin, carbohydrate intake or exercise values of a patient, along respectively with one or more insulin, carbohydrate intake or exercise sensitivity factors, or combinations thereof, 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, carbohydrate intake or exercise actions, or combinations thereof, performed by the individual patient;

(ii) a microprocessor, in communication with said memory, programmed to calculate a further value, said further value being based on said one or more optimal blood glucose values, and on said insulin, carbohydrate intake or exercise values along respectively with said one or more insulin, carbohydrate intake or exercise sensitivity factors, or combinations thereof; and

(iii) a display configured to display information according to said further value; and

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

(b) an insulin delivery device for delivering insulin in response to information associated with said further value.

16. The system of claim 15, wherein said microprocessor, in communication with said memory, is further programmed to determine said one or more sensitivity factors from one or more physiological parameters including body mass, metabolism rate, fitness level or hepatic or peripheral insulin sensitivity, or combinations thereof.

17. The system of claim 15, wherein said memory comprises one or more exercise values, wherein said microprocessor is programmed to calculate said further value based on said one or more exercise values.

18. The system of claim 17, wherein said exercise values comprise durations of exercise in fifteen minute units.

19. The system of claim 15, wherein said memory comprises one or more carbohydrate intake values, wherein said microprocessor is programmed to calculate said further value based on said one or more carbohydrate intake values.

20. The system of claim 15, wherein said memory comprises one or more insulin dose values, wherein said microprocessor is programmed to calculate said further value based on said one or more insulin dose values.

21. The system of claim 15, wherein said display of said further value enables the patient to consider appropriate insulin dose action including injecting units of insulin, food intake actions including intake of grams of carbohydrates, or exercise actions including minutes of exercise or durations of exercise in 15 minute units, or combinations thereof.

22. The system of claim 15, wherein said memory further comprises one or more optimal insulin dose, food intake or exercise values, or combinations thereof, and said further value is calculated based further upon said one or more optimal insulin dose, food intake or exercise values, or combinations thereof.

23. The system of claim 15, wherein said memory comprises one or more food intake values, wherein said microprocessor is also programmed to calculate said further value based on said one or more food intake values.

24. The system of claim 23, wherein the memory comprises 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.

25. The system of claim 24, wherein said values are respectively determined based on one gram of carbohydrate being expected to raise the patient'"'"'s blood glucose level by 4 mg/dL, one unit of insulin being expected to lower the patient'"'"'s blood glucose level by 40 mg/dL, or fifteen minutes of exercise being expected to lower the patient'"'"'s blood glucose level by 5 mg/dL, or said combinations thereof.