DIABETES CARE MANAGEMENT SYSTEM

• US 20080108888A1
• Filed: 10/29/2007
• Published: 05/08/2008
• Est. Priority Date: 01/10/1997
• Status: Active Grant

• Current Assignee: Stephen Brown
• Original Assignee: Stephen Brown
• Inventors: Brown, Stephen
• Granted Patent: US 7,979,259 B2
• Time in Patent Office: Days
• US Class Current: 600/365
• 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 method for managing blood glucose levels associated with a diabetes care management treatment regimen, comprising:

(a) electronically storing 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;

(b) weighting an impact on a future blood glucose value based on said factors including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of insulin dose actions performed by the individual patient based on the customized weighting;

(d) calculating a further value that is based on said insulin dose values, said optimal blood glucose values, and said scaling factors;

(e) displaying information according to said further value; and

(f) delivering insulin in response to information associated with said further value.

2. The method of claim 1, further comprising storing one or more carbohydrate intake values, and calculating said further value based on said one or more carbohydrate intake values.

3. The method of claim 1, further comprising displaying multiple values in graphical form.

4. The method of claim 1, wherein said displaying of said further value enables the patient to consider appropriate insulin dose actions.

5. The method of claim 1, further comprising receiving prior blood glucose values.

6. The method of claim 1, further comprising storing one or more optimal insulin dose values, and calculating said further value based further upon said one or more optimal insulin dose values.

7. The method of claim 1, further comprising determining 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.

8. The method of claim 1, further comprising determining said one or more scaling factors from insulin sensitivity.

9. A method for managing blood glucose levels associated with a diabetes care management treatment regimen, comprising:

(a) electronically storing one or more optimal blood glucose values, one or more carbohydrate intake values of a patient, one or more measured blood glucose values, and one or more scaling factors;

(b) weighting an impact on a future blood glucose value based on said factors including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of carbohydrate intake actions performed by the individual patient;

(d) calculating a further value that is based on said carbohydrate intake values, said optimal blood glucose values, and said scaling factors;

(e) displaying information according to said further value; and

(f) delivering insulin in response to information associated with said further value.

10. The method of claim 9, further comprising storing one or more exercise values, and calculating said further value based on said one or more exercise values.

11. The method of claim 9, wherein said displaying of said further value enables the patient to consider appropriate carbohydrate actions.

12. The method of claim 9, further comprising storing one or more optimal carbohydrate intake values, and calculating said further value based further upon said optimal carbohydrate intake values.

13. The method of claim 9, further comprising determining said one or more scaling factors from one or more physiological parameters including body mass, metabolism rate, or fitness level, or combinations thereof.

14. The method of claim 9, further comprising determining said one or more scaling factors from body mass or metabolism rate or both.

15. The method of claim 14, further comprising storing one or more optimal self care values including an optimal food exchange parameter value expressed in units of carbohydrates, an optimal insulin dose parameter value expressed in units of insulin, or an optimal exercise duration parameter value expressed in temporal units of exercise, or combinations thereof.

16. The method of claim 15, further comprising determining said values 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.

17. A method for managing blood glucose levels associated with a diabetes care management treatment regimen, comprising:

(a) electronically storing one or more optimal blood glucose values, one or more insulin dose, food intake or exercise values of a patient, or combinations thereof, one or more measured blood glucose values, and one or more scaling factors;

(b) weighting an impact on a future blood glucose value based on said factors including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of insulin dose, food intake or exercise actions, or combinations thereof, performed by the individual patient;

(d) calculating a further value that is based on said insulin dose, food intake or exercise values, or combinations thereof, and on said one or more optimal blood glucose values, and on said one or more scaling factors;

(e) displaying information according to said further value; and

(f) delivering insulin in response to information associated with said further value.

18. The method of claim 17, further comprising storing one or more exercise values, and calculating said further value based on said one or more exercise values.

19. The method of claim 17, further comprising establishing a communication link between a device and a healthcare provider computer and transmitting and receiving data therebetween.

20. The method of claim 17, further comprising measuring the blood glucose values, and storing the measured blood glucose values.

21. The method of claim 17, wherein said displaying of said further value enables the patient to consider appropriate insulin dose action including injecting units of insulin, food intake actions including intake of units of carbohydrates, or exercise actions including minutes of exercise or durations of exercise in temporal units, or combinations thereof.

22. The method of claim 17, further comprising receiving prior blood glucose values.

23. The method of claim 17, further comprising storing one or more optimal insulin dose, food intake or exercise values, or combinations thereof, and calculating said further value based further upon said one or more optimal insulin dose, food intake or exercise values, or combinations thereof.

24. The method of claim 17, further comprising determining 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.

25. The method of claim 17, further comprising storing one or more optimal self care values including an optimal food exchange parameter value expressed in units of carbohydrates, an optimal insulin dose parameter value expressed in units of insulin, or an optimal exercise duration parameter value expressed in temporal units of exercise, or combinations thereof.

26. A readily transportable diabetes management system including a computing device and an insulin delivery device, and the system having stored therein program code for programming one or more processors to perform a method for managing blood glucose levels associated with a diabetic condition of a continuous nature, wherein the method comprises:

(a) electronically storing 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;

(b) weighting an impact on a future blood glucose value based on said factors including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of insulin dose actions performed by the individual patient based on the customized weighting;

(d) calculating a further value that is based on said insulin dose values, said optimal blood glucose values, and said scaling factors; and

(e) enabling delivery of an appropriate amount of insulin in response to information associated with said further value.

27. The system of claim 26, wherein the method comprises storing one or more carbohydrate intake values, and calculating said further value based on said one or more carbohydrate intake values.

28. The system of claim 26, wherein the method comprises displaying multiple values in graphical form.

29. The system of claim 28, wherein said displaying of said further value enables the patient to consider appropriate insulin dose actions.

30. The system of claim 26, wherein the method comprises receiving prior blood glucose values.

31. The system of claim 26, wherein the method comprises storing one or more optimal insulin dose values, and calculating said further value based further upon said one or more optimal insulin dose values.

32. The system of claim 26, wherein the method comprises determining 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.

33. The system of claim 26, wherein the method comprises determining said one or more scaling factors from insulin sensitivity.

34. A readily transportable diabetes management system including a computing device and an insulin delivery device, and the system having stored therein program code for programming one or more processors to perform a method for managing blood glucose levels associated with a diabetic condition of a continuous nature, wherein the method comprises:

(a) electronically storing one or more optimal blood glucose values, one or more carbohydrate intake values of a patient, one or more measured blood glucose values, and one or more scaling factors;

(b) weighting an impact on a future blood glucose value based on said factors including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of carbohydrate intake actions performed by the individual patient;

(d) calculating a further value that is based on said carbohydrate intake values, said optimal blood glucose values, and said scaling factors; and

(e) enabling delivery of an appropriate amount of insulin in response to information associated with said further value.

35. The system of claim 34, wherein the method comprises storing one or more exercise values, and calculating said further value based on said one or more exercise values.

36. The system of claim 34, wherein said system displays said further value to enable the patient to consider appropriate carbohydrate actions.

37. The system of claim 34, wherein the method comprises storing one or more optimal carbohydrate intake values, and calculating said further value based further upon said optimal carbohydrate intake values.

38. The system of claim 34, wherein the method comprises determining said one or more scaling factors from one or more physiological parameters including body mass, metabolism rate, or fitness level, or combinations thereof.

39. The system of claim 34, wherein the method comprises determining said one or more scaling factors from body mass or metabolism rate or both.

40. The system of claim 39, wherein the method comprises storing one or more optimal self care values including an optimal food exchange parameter value expressed in units of carbohydrates, an optimal insulin dose parameter value expressed in units of insulin, or an optimal exercise duration parameter value expressed in temporal units of exercise, or combinations thereof.

41. The system of claim 40, wherein the method comprises determining said values 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.

42. A readily transportable diabetes management system including a computing device and an insulin delivery device, and the system having stored therein program code for programming one or more processors to perform a method for managing blood glucose levels associated with a diabetic condition of a continuous nature, wherein the method comprises:

(a) electronically storing one or more optimal blood glucose values, one or more insulin dose, food intake or exercise values of a patient, or combinations thereof, one or more measured blood glucose values, and one or more scaling factors;

(b) weighting an impact on a future blood glucose value based on said factors including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of insulin dose, food intake or exercise actions, or combinations thereof, performed by the individual patient;

(d) calculating a further value that is based on said insulin dose, food intake or exercise values, or combinations thereof, and on said one or more optimal blood glucose values, and on said one or more scaling factors; and

(e) enabling delivery of an appropriate amount of insulin in response to information associated with said further value.

43. The system of claim 42, wherein the method comprises storing one or more exercise values, and calculating said further value based on said one or more exercise values.

44. The system of claim 42, wherein the method comprises establishing a communication link between said device and a healthcare provider computer and transmitting and receiving data therebetween.

45. The system of claim 42, wherein the method comprises measuring the blood glucose values, and storing the measured blood glucose values.

46. The system of claim 42, wherein said system displays said further value to enable the patient to consider appropriate insulin dose action including injecting units of insulin, food intake actions including intake of units of carbohydrates, or exercise actions including minutes of exercise or durations of exercise in temporal units, or combinations thereof.

47. The system of claim 42, wherein the method comprises receiving prior blood glucose values.

48. The system of claim 42, wherein the method comprises storing one or more optimal insulin dose, food intake or exercise values, or combinations thereof, and calculating said further value based further upon said one or more optimal insulin dose, food intake or exercise values, or combinations thereof.

49. The system of claim 42, wherein the method comprises determining 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.

50. The system of claim 42, wherein the method comprises storing one or more optimal self care values including an optimal food exchange parameter value expressed in units of carbohydrates, an optimal insulin dose parameter value expressed in units of insulin, or an optimal exercise duration parameter value expressed in temporal units of exercise, or combinations thereof.

51. A diabetes care management computing device for managing blood glucose levels associated with diabetes, comprising:

(a) a memory comprising one or more optimal blood glucose values, one or more measured blood glucose values, one or more insulin values, and one or more carbohydrate intake values of a patient, along with insulin and carbohydrate sensitivity 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 and carbohydrate intake performed by the individual patient;

(b) 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 and carbohydrate intake values along respectively with said one or more insulin and carbohydrate intake sensitivity factors;

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

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

52. The device of claim 51, wherein said housing further comprises an output port and said output port is integral with said housing.

53. The device of claim 52, further comprising an electronic data recording device arranged within said housing.

54. The device of claim 51, 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.

55. The device of claim 54, wherein said exercise values comprise minutes of exercise.

56. The device of claim 54, wherein said exercise values comprise durations of exercise in fifteen minute units.

57. The device of claim 51, 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.

58. The device of claim 57, wherein said carbohydrate intake values comprise grams of carbohydrates.

59. The device of claim 51, 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.

60. The device of claim 59, wherein said insulin dose values comprise units of insulin.

61. The device of claim 51, further comprising an output port coupled to said processor for establishing a communication link between said device and a healthcare provider computer and for transmitting and receiving data therebetween.

62. The device of claim 61, further comprising a modem for establishing said communication link through a communication network.

63. The device of claim 61, wherein said output port comprises an input/output port for establishing said communication link through a connection cord.

64. The device of claim 51, wherein said display is configured for displaying multiple values in graphical form.

65. The device of claim 51, further comprising an electronic data recording device including a control parameter measurement device for measuring the control parameter values, and from which the measured control parameter values are stored in the memory.

66. The device of claim 51, further comprising an electronic data recording device configured for receiving prior control parameter values.

67. The device of claim 66, wherein said electronic data recording device is in communication with said microprocessor.

68. The device of claim 51, wherein said memory further comprises one or more optimal self care values.

69. The device of claim 68, wherein said optimal self care values include values determined by a health care provider.

70. The device of claim 68, wherein said memory further comprises one or more optimal control parameter values.

71. The device of claim 70, wherein said one or more optimal self care values and said one or more optimal control parameter values are stored in the memory, entered into the computing device by keypad or entered into the computing device by I/O port, or combinations thereof.

72. The device of claim 51, further comprising an insulin delivery component that includes a reservoir for storing insulin for delivery to said patient through a tubular member.

73. The device of claim 72, wherein said reservoir for storing said insulin comprises a syringe barrel and said tubular member includes a needle cannula for insertion in the skin of said patient.

74. A method for managing blood glucose levels associated with a diabetes care management treatment regimen, comprising:

(a) electronically storing 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;

(b) weighting an impact on a future blood glucose value based on said factors including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of self care actions performed by the individual patient, including;

(i) determining 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

(ii) calculating a further value that is 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

(d) displaying information according to said further value.

75. The method of claim 74, wherein said one or more physiological parameters include insulin sensitivity.

76. The method of claim 74, further comprising storing one or more exercise values, and calculating said further value based on said one or more exercise values.

77. The method of claim 74, further comprising storing one or more carbohydrate intake values, and calculating said further value based on said one or more carbohydrate intake values.

78. The method of claim 77, wherein said carbohydrate intake values comprise weight units of carbohydrates.

79. The method of claim 74, further comprising storing one or more insulin dose values, and calculating said further value based on said one or more insulin dose values.

80. The method of claim 79, wherein said insulin dose values comprise units of insulin.

81. The method of claim 74, further comprising measuring the blood glucose values, and storing the measured blood glucose values.

82. The method of claim 74, further comprising injecting units of insulin, intaking units of carbohydrates, or performing units of exercise, or combinations thereof, based on said displaying of said information.

83. The method of claim 74, further comprising storing one or more optimal insulin dose, food intake or exercise values, or combinations thereof, and calculating said further value based further upon said one or more optimal insulin dose, food intake or exercise values, or combinations thereof.

84. The method of claim 74, further comprising storing one or more food intake values, and calculating said further value based on said one or more food intake values.

85. The method of claim 84, wherein said food intake values comprise units of carbohydrates.

86. The method of claim 74, further comprising electronically storing one or more optimal self care values including an optimal food exchange parameter value expressed in units of carbohydrates, an optimal insulin dose parameter value expressed in units of insulin, or an optimal exercise duration parameter value expressed in units of exercise, or combinations thereof.

87. The method of claim 86, further comprising determining said values respectively 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.

88. A method for managing blood glucose levels associated with a diabetes care management treatment regimen, comprising:

(a) electronically storing 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;

(b) weighting an impact on a future blood glucose value based on said factors, including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of insulin dose, carbohydrate intake or exercise actions, or combinations thereof, performed by the individual patient, including calculating a further value that is 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

(d) displaying information according to said further value.

89. The method of claim 88, further comprising determining 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.

90. The method of claim 88, further comprising storing one or more exercise values, and calculating said further value based on said one or more exercise values.

91. The method of claim 90, wherein said exercise values comprise durations of exercise.

92. The method of claim 88, further comprising storing one or more carbohydrate intake values, and calculating said further value based on said one or more carbohydrate intake values.

93. The method of claim 88, further comprising storing one or more insulin dose values, and calculating said further value based on said one or more insulin dose values.

94. The method of claim 88, 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.

95. The method of claim 88, further comprising storing one or more optimal insulin dose, food intake or exercise values, or combinations thereof, and calculating said further value based further upon said one or more optimal insulin dose, food intake or exercise values, or combinations thereof.

96. The method of claim 88, further comprising storing one or more food intake values, and calculating said further value based on said one or more food intake values.

97. The method of claim 96, further comprising storing 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.

98. The method of claim 97, further comprising respectively determining said values 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.

99. A readily transportable diabetes management system including a computing device and an insulin delivery device, and the system having stored therein program code for programming one or more processors to perform a method for managing blood glucose levels associated with a diabetic condition of a continuous nature, wherein the method comprises:

(a) electronically storing 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;

(b) weighting an impact on a future blood glucose value based on said factors including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of self care actions performed by the individual patient, including;

(i) determining 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

(ii) calculating a further value that is 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

(d) displaying information associated with said further value thereby enabling delivery of an appropriate amount of insulin in response.

100. The system of claim 99, wherein said one or more physiological parameters include insulin sensitivity.

101. The system of claim 99, wherein the method further comprises storing one or more exercise values, and calculating said further value based on said one or more exercise values.

102. The system of claim 99, wherein the method further comprises storing one or more carbohydrate intake values, and calculating said further value based on said one or more carbohydrate intake values.

103. The system of claim 102, wherein said carbohydrate intake values comprise weight units of carbohydrates.

104. The system of claim 99, wherein the method further comprises storing one or more insulin dose values, and calculating said further value based on said one or more insulin dose values.

105. The system of claim 104, wherein said insulin dose values comprise units of insulin.

106. The system of claim 99, wherein the method further comprises measuring the blood glucose values, and storing the measured blood glucose values.

107. The system of claim 99, wherein the method further comprises injecting units of insulin, intaking units of carbohydrates, or performing units of exercise, or combinations thereof, based on said displaying of said information.

108. The system of claim 99, wherein the method further comprises storing one or more optimal insulin dose, food intake or exercise values, or combinations thereof, and calculating said further value based further upon said one or more optimal insulin dose, food intake or exercise values, or combinations thereof.

109. The system of claim 99, wherein the method further comprises storing one or more food intake values, and calculating said further value based on said one or more food intake values.

110. The system of claim 109, wherein said food intake values comprise units of carbohydrates.

111. The system of claim 99, wherein the method further comprises electronically storing one or more optimal self care values including an optimal food exchange parameter value expressed in units of carbohydrates, an optimal insulin dose parameter value expressed in units of insulin, or an optimal exercise duration parameter value expressed in units of exercise, or combinations thereof.

112. The system of claim 111, wherein the method further comprises determining said values respectively 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.

113. A readily transportable diabetes management system including a computing device and an insulin delivery device, and the system having stored therein program code for programming one or more processors to perform a method for managing blood glucose levels associated with a diabetic condition of a continuous nature, wherein the method comprises:

(a) electronically storing 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;

(b) weighting an impact on a future blood glucose value based on said factors, including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of insulin dose, carbohydrate intake or exercise actions, or combinations thereof, performed by the individual patient, including calculating a further value that is 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

(d) displaying information associated with said further value thereby enabling delivery of an appropriate amount of insulin in response.

114. The system of claim 113, wherein the method further comprises determining 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.

115. The system of claim 113, wherein the method further comprises storing one or more exercise values, and calculating said further value based on said one or more exercise values.

116. The system of claim 115, wherein said exercise values comprise durations of exercise.

117. The system of claim 113, wherein the method further comprises storing one or more carbohydrate intake values, and calculating said further value based on said one or more carbohydrate intake values.

118. The system of claim 113, wherein the method further comprises storing one or more insulin dose values, and calculating said further value based on said one or more insulin dose values.

119. The system of claim 113, 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.

120. The system of claim 113, wherein the method further comprises storing one or more optimal insulin dose, food intake or exercise values, or combinations thereof, and calculating said further value based further upon said one or more optimal insulin dose, food intake or exercise values, or combinations thereof.

121. The system of claim 113, wherein the method further comprises storing one or more food intake values, and calculating said further value based on said one or more food intake values.

122. The system of claim 121, wherein the method further comprises storing 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.

123. The system of claim 122, wherein the method further comprises respectively determining said values 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.

124. One or more computer-readable storage devices having program code embodied therein for programming one or more processors to perform a method for managing blood glucose levels associated with a diabetes care management treatment regimen, wherein the method comprises:

(a) electronically storing 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;

(b) weighting an impact on a future blood glucose value of a self care action based on said factors including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of the self care action performed by the individual patient, including;

(i) determining 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

(ii) calculating a further value that is based on said one or more self care values, and on said one or more optimal blood glucose values, and on said one or more scaling factors; and

(d) displaying information according to said further value to thereby enable the patient to consider an appropriate insulin dose action including injecting units of insulin, a food intake actions including intake of units of carbohydrates, or an exercise action, or combinations thereof.

125. The one or more storage devices of claim 124, wherein said one or more physiological parameters include insulin sensitivity.

126. The one or more storage devices of claim 124, wherein the method further comprises calculating said further value based on one or more exercise values.

127. The one or more storage devices of claim 124, wherein the method further comprises calculating said further value based on one or more carbohydrate intake values.

128. The one or more storage devices of claim 127, wherein said carbohydrate intake values comprise units of carbohydrates.

129. The one or more storage devices of claim 124, wherein the method further comprises calculating said further value based on one or more insulin dose values.

130. The one or more storage devices of claim 129, wherein said insulin dose values comprise units of insulin.

131. The one or more storage devices of claim 124, wherein the method further comprises measuring the blood glucose values, and storing the measured blood glucose values.

132. The one or more storage devices of claim 124, wherein the method further comprises injecting units of insulin, intaking units of carbohydrates, or performing units of exercise, or combinations thereof, based on said displaying of said information.

133. The one or more storage devices of claim 124, wherein the method further comprises storing one or more optimal insulin dose, food intake or exercise values, or combinations thereof, and calculating said further value based further upon said one or more optimal insulin dose, food intake or exercise values, or combinations thereof.

134. The one or more storage devices of claim 124, wherein the method further comprises storing one or more food intake values, and calculating said further value based on said one or more food intake values.

135. The one or more storage devices of claim 134, wherein said food intake values comprise units of carbohydrates.

136. The one or more storage devices of claim 124, wherein the method further comprises electronically storing one or more optimal self care values including an optimal food exchange parameter value expressed in units of carbohydrates, an optimal insulin dose parameter value expressed in units of insulin, or an optimal exercise duration parameter value expressed in units of exercise, or combinations thereof.

137. The one or more storage devices of claim 136, wherein the method further comprises determining said values respectively 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.

138. One or more computer-readable storage devices having program code embodied therein for programming one or more processors to perform a method for managing blood glucose levels associated with a diabetes care management treatment regimen, wherein the method comprises:

(a) electronically storing 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;

(b) weighting an impact on a future blood glucose value based on said factors, including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of insulin dose, carbohydrate intake or exercise actions, or combinations thereof, performed by the individual patient, including calculating a further value that is 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

(d) displaying information according to said further value.

139. The one or more storage devices of claim 138, wherein the method further comprises determining 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.

140. The one or more storage devices of claim 138, wherein the method further comprises storing one or more exercise values, and calculating said further value based on said one or more exercise values.

141. The one or more storage devices of claim 140, wherein said exercise values comprise durations of exercise.

142. The one or more storage devices of claim 138, wherein the method further comprises storing one or more carbohydrate intake values, and calculating said further value based on said one or more carbohydrate intake values.

143. The one or more storage devices of claim 138, wherein the method further comprises storing one or more insulin dose values, and calculating said further value based on said one or more insulin dose values.

144. The one or more storage devices of claim 138, wherein said display of said further value enables the patient to consider an 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.

145. The one or more storage devices of claim 138, wherein the method further comprises storing one or more optimal insulin dose, food intake or exercise values, or combinations thereof, and calculating said further value based further upon said one or more optimal insulin dose, food intake or exercise values, or combinations thereof.

146. The one or more storage devices of claim 138, wherein the method further comprises storing one or more food intake values, and calculating said further value based on said one or more food intake values.

147. The one or more storage devices of claim 146, wherein the method further comprises storing 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.

148. The one or more storage devices of claim 147, wherein the method further comprises respectively determining said values 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.

150. The computing device of claim 148, wherein the method further comprising outputting information to another computing device via an output port.

151. The computing device of claim 150, wherein the method further comprises electronically recording a blood glucose level.

149. A hand-held, readily transportable computing device having stored therein program code for programming one or more processors to perform a method for managing blood glucose levels associated with a diabetic condition of a continuous nature, wherein the method comprises:

(a) programming an electronic memory including storing one or more optimal blood glucose values, one or more measured blood glucose values of a patient, and 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;

(b) weighting an impact on a future blood glucose value based on said factors, including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of insulin dose, carbohydrate intake or exercise actions, or combinations thereof, performed by the individual patient;

(d) calculating a further value based on said one or more of insulin, carbohydrate intake or exercise values of the patient, and on said one or more optimal blood glucose values, and on said one or more of insulin, carbohydrate intake or exercise sensitivity factors, or combinations thereof;

(e) displaying information according to said further value; and

(f) because of the continuous nature of the diabetic condition, monitoring and controlling the blood glucose on a regular basis by the patient outside of a medical clinic.

152. The computing device of claim 149, wherein the method further comprises storing one or more exercise values, and calculating said further value based on said one or more exercise values.

153. The computing device of claim 152, wherein said exercise values comprise minutes of exercise.

154. The computing device of claim 152, wherein said exercise values comprise durations of exercise in fifteen minute units.

155. The computing device of claim 149, wherein the method further comprises storing one or more carbohydrate intake values, and calculating said further value based on said one or more carbohydrate intake values.

156. The computing device of claim 149, wherein the method further comprises storing one or more insulin dose values, and calculating said further value based on said one or more insulin dose values.

157. The computing device of claim 149, wherein the method further comprises establishing a communication link between said device and a healthcare provider computer and transmitting and receiving data therebetween.

158. The computing device of claim 157, wherein the method further comprises establishing said communication link through a communication network.

159. The computing device of claim 157, wherein the method further comprises establishing said communication link through a connection cord.

160. The computing device of claim 149, wherein the method further comprises displaying multiple values in graphical form.

161. The computing device of claim 149, wherein the method further comprises measuring the blood glucose value, and storing the blood glucose value in an electronic memory.

162. The computing device of claim 149, wherein the method further comprises storing one or more optimal insulin dose, carbohydrate intake or exercise actions of a patient, or combinations thereof.

163. The computing device of claim 162, wherein the method further comprises receiving said optimal insulin dose, carbohydrate intake or exercise values include values from a health care provider.

164. A hand-held, readily transportable computing device having stored therein program code for programming one or more processors to perform a method for managing blood glucose levels associated with a diabetic condition of a continuous nature, wherein the method comprises:

(a) electronically storing one or more optimal blood glucose levels, one or more self care values of a patient, one or more measured blood glucose values, and one or more scaling factors;

(b) weighting an impact on a future blood glucose value based on said factors including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of one or more self care actions performed by the individual patient;

(d) calculating a further value that is based on said one or more self care values and on said one or more optimal blood glucose values, and on said one or more scaling factors;

(e) displaying information according to said further value;

(f) initiating delivery of insulin in response to information associated with said further value; and

(g) because of the continuous nature of the diabetic condition, monitoring and controlling the glucose levels on a regular basis by the patient outside of a medical clinic.

165. The computing device of claim 164, wherein the method further comprises performing said method multiple times in various locations on the hand-held, readily transportable device.

166. The computing device of claim 164, wherein the method further comprises storing one or more exercise values, and calculating said further value based on said one or more exercise values.

167. The computing device of claim 164, wherein the method further comprises storing one or more carbohydrate intake values, and calculating said further value based on said one or more carbohydrate intake values.

168. The computing device of claim 164, wherein the method further comprises storing one or more insulin dose values, and calculating said further value based on said one or more insulin dose values.

169. The computing device of claim 164, wherein the method further comprises establishing a communication link between said device and a healthcare provider computer and transmitting and receiving data therebetween.

170. The computing device of claim 164, wherein the method further comprises displaying multiple values in graphical form.

171. The computing device of claim 164, wherein the method further comprises measuring and storing the blood glucose values.

172. The computing device of claim 164, wherein the method further comprises storing one or more optimal self care values.

173. The computing device of claim 164, wherein the diabetic condition is associated with glucose levels in blood.

174. A readily transportable diabetes management system having stored therein program code for programming one or more processors to perform a method for managing blood glucose levels associated with a diabetic condition of a continuous nature, wherein the method comprises:

(a) electronically storing 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;

(b) weighting an impact on a future blood glucose value based on said factors including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of insulin dose actions performed by the individual patient based on the customized weighting;

(d) calculating a further value that is based on said insulin dose values, said optimal blood glucose values, and said scaling factors;

(e) displaying information according to said further value; and

(f) initiating delivery of insulin in response to information associated with said further value.

175. The system of claim 174, wherein the method further comprises storing one or more carbohydrate intake values, and calculating said further value based on said one or more carbohydrate intake values.

176. The system of claim 174, wherein the method further comprises displaying multiple values in graphical form.

177. The system of claim 174, wherein said displaying of said further value enables the patient to consider appropriate insulin dose actions.

178. The system of claim 174, wherein the method further comprises receiving prior blood glucose values.

179. The system of claim 174, wherein the method further comprises storing one or more optimal insulin dose values, and calculating said further value based further upon said one or more optimal insulin dose values.

180. The system of claim 174, wherein the method further comprises determining 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.

181. The system of claim 174, wherein the method further comprises determining said one or more scaling factors from insulin sensitivity.

182. A readily transportable diabetes management system having stored therein program code for programming one or more processors to perform a method for managing blood glucose levels associated with a diabetic condition of a continuous nature, wherein the method comprises:

(a) electronically storing one or more optimal blood glucose values, one or more carbohydrate intake values of a patient, one or more measured blood glucose values, and one or more scaling factors;

(b) weighting an impact on a future blood glucose value based on said factors including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of carbohydrate intake actions performed by the individual patient;

(d) calculating a further value that is based on said carbohydrate intake values, said optimal blood glucose values, and said scaling factors;

(e) displaying information according to said further value; and

(f) initiating delivery of insulin in response to information associated with said further value.

183. The system of claim 182, wherein the method further comprises storing one or more exercise values, and calculating said further value based on said one or more exercise values.

184. The system of claim 182, wherein said displaying of said further value enables the patient to consider appropriate carbohydrate actions.

185. The system of claim 182, wherein the method further comprises storing one or more optimal carbohydrate intake values, and calculating said further value based further upon said optimal carbohydrate intake values.

186. The system of claim 182, wherein the method further comprises determining said one or more scaling factors from one or more physiological parameters including body mass, metabolism rate, or fitness level, or combinations thereof.

187. The system of claim 182, wherein the method further comprises determining said one or more scaling factors from body mass or metabolism rate or both.

188. The system of claim 187, wherein the method further comprises storing one or more optimal self care values including an optimal food exchange parameter value expressed in units of carbohydrates, an optimal insulin dose parameter value expressed in units of insulin, or an optimal exercise duration parameter value expressed in temporal units of exercise, or combinations thereof.

189. The system of claim 188, wherein the method further comprises determining said values 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.

190. A readily transportable diabetes management system having stored therein program code for programming one or more processors to perform a method for managing blood glucose levels associated with a diabetic condition of a continuous nature, wherein the method comprises:

(a) electronically storing one or more optimal blood glucose values, one or more insulin dose, food intake or exercise values of a patient, or combinations thereof, one or more measured blood glucose values, and one or more scaling factors;

(b) weighting an impact on a future blood glucose value based on said factors including customizing said weighting to an individual patient;

(c) predicting an effect on the blood glucose of insulin dose, food intake or exercise actions, or combinations thereof, performed by the individual patient;

(d) calculating a further value that is based on said insulin dose, food intake or exercise values, or combinations thereof, and on said one or more optimal blood glucose values, and on said one or more scaling factors;

(e) displaying information according to said further value; and

(f) initiating delivery of insulin in response to information associated with said further value.

191. The system of claim 190, wherein the method further comprises storing one or more exercise values, and calculating said further value based on said one or more exercise values.

192. The system of claim 190, wherein the method further comprises establishing a communication link between said device and a healthcare provider computer and transmitting and receiving data therebetween.

193. The system of claim 190, wherein the method further comprises measuring the blood glucose values, and storing the measured blood glucose values.

194. The system of claim 190, wherein said displaying of said further value enables the patient to consider appropriate insulin dose action including injecting units of insulin, food intake actions including intake of units of carbohydrates, or exercise actions including minutes of exercise or durations of exercise in temporal units, or combinations thereof.

195. The system of claim 190, wherein the method further comprises receiving prior blood glucose values.

196. The system of claim 190, wherein the method further comprises storing one or more optimal insulin dose, food intake or exercise values, or combinations thereof, and calculating said further value based further upon said one or more optimal insulin dose, food intake or exercise values, or combinations thereof.

197. The system of claim 190, wherein the method further comprises determining 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.

198. The system of claim 190, wherein the method further comprises storing one or more optimal self care values including an optimal food exchange parameter value expressed in units of carbohydrates, an optimal insulin dose parameter value expressed in units of insulin, or an optimal exercise duration parameter value expressed in temporal units of exercise, or combinations thereof.