COMPUTER PROGRAM FOR DIABETES MANAGEMENT

• US 20080234943A1
• Filed: 03/20/2007
• Published: 09/25/2008
• Est. Priority Date: 03/20/2007
• Status: Abandoned Application

• Current Assignee: Lifescan Incorporated (Duv Holding Corporation)
• Original Assignee: Lifescan Incorporated (Duv Holding Corporation)
• Inventors: Price, David, Matian, Greg, RAY, Pinaki, Srinivasan, Aparna, Rodbard, David
• Application Number:
  US11/688,743
• Publication Number:
  US 20080234943A1
• Time in Patent Office: Days
• US Class Current: 702/19
• 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 5/7275 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: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: G01N 35/00871 Communications between instruments or with remote terminals
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• 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 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A diabetes management system or process is provided herein that may be used to analyze and recognize patterns for a large amount of blood glucose concentration measurements and other physiological parameters related to the glycemia of a patient. In particular, a method of monitoring glycemia in a patient may include storing a patient'"'"'s data on a suitable device, such as, for example, a glucose meter. The patient'"'"'s data may include blood glucose concentration measurements. The diabetes management system or process may be installed on, but is not limited to, a personal computer, an insulin pen, an insulin pump, or a glucose meter. The diabetes management system or process may identify a plurality of pattern types from the data including a testing/dosing pattern, a hypoglycemic pattern, a hyperglycemic pattern, a variability pattern, and a comparative pattern. After identifying a particular pattern with the data management system or process, a warning message may be displayed on a screen of a personal computer or a glucose meter. Other messages can also be provided to ensure compliance of any prescribed diabetes regiments or to guide the patient in managing the patient'"'"'s diabetes.

Claims

1. A computer program to provide diabetes management information to a user, the computer program comprising:

a user interface;

a database module having a plurality of data inputs relating to blood glucose of a patient;

a business object module in communication with the database module; and

a diabetes management rules engine that generates a plurality of textual messages to the user interface based on the database module and the business object module, the textual messages including statistically significant patterns from the patient'"'"'s data indicative of at least excessive variability by at least one of time of day, by day in a week, both by time of day and day of week, or at different time intervals.

2. The computer program of claim 1, wherein the textual messages comprises a display of at least one of (a) incidence of hypoglycemia (b) incidence of hyperglycemia (c) overcorrection, (d) differential between night time blood glucose concentration versus daytime blood glucose concentration, and (e) comparative analysis of hypoglycemic or hyperglycemic trends.

3. The computer program of claim 2, wherein the incidence of hypoglycemia includes (i) incidence of hypoglycemia by time period, (ii) incidence of hypoglycemia by day of the week, (iii) incidence of pre-meal hypoglycemia, and (iv) incidence of post-meal hypoglycemia.

4. The computer program of claim 2, wherein the incidence of hypoglycemia comprises a textual indication of hypoglycemic incidence that includes a calculated percentage of hypoglycemic events within a predetermined time period being provided whenever the calculated percentage is greater than about 5% or a textual indication that all blood glucose readings are hypoglycemic is provided whenever the calculated percentage is 100%, otherwise no textual indication of hypoglycemic incidence is provided.

5. The computer program of claim 4, wherein a textual messages comprises a display of an indication of higher hypoglycemia in a specific time period being provided whenever a statistical correlation is determined between a time slot and a hypoglycemic event and there is a textual indication of hypoglycemic incidence.

6. The computer program of claim 4, wherein a textual message comprises a display of an indication of higher hypoglycemia in a specific day of the week is provided whenever a statistical correlation is determined between the day of the week and a hypoglycemic event and there is a textual indication of hypoglycemic incidence.

7. The computer program of claim 2, wherein a textual message comprises a display of an incidence or frequency of pre-meal hypoglycemic events being provided whenever there are more than about 5% of blood glucose readings are hypoglycemic and are marked as pre-meal blood glucose readings within a predetermined time period.

8. The computer program of claim 2, wherein a textual message comprises a display of post-meal hypoglycemic events being provided whenever there are more than about 5% of blood glucose readings are hypoglycemic and are marked as post-meal blood glucose readings within a predetermined time period.

9. The computer program of claim 2, wherein the incidence of hypoglycemia includes (i) incidence of hyperglycemia by time period, (ii) incidence of hyperglycemia by day of the week, (iii) incidence of pre-meal hyperglycemia, and (iv) incidence of post-meal hyperglycemia.

10. The computer program of claim 9, wherein the incidence of hyperglycemia comprises a textual indication of hyperglycemic incidence that includes a calculated percentage of hyperglycemic events within a predetermined time period, which is provided whenever the calculated percentage is greater than about 15% or a textual indication that all blood glucose readings are hyperglycemic is provided whenever the calculated percentage is 100%, otherwise no textual indication of hyperglycemic incidence is provided.

11. The computer program of claim 10, wherein a textual message comprises a display of an indication of higher hyperglycemia in a specific time period being provided whenever a statistical significance is determined between a time slot and a hyperglycemic event and there is a textual indication of hyperglycemic incidence.

12. The computer program of claim 10, wherein a textual message comprises a display of an indication of higher hyperglycemia in a specific day of the week being provided whenever a statistical significance is determined between the day of the week and a hyperglycemic event and there is a textual indication of hyperglycemic incidence.

13. The computer program of claim 9, wherein a textual message comprises a display of an incidence of pre-meal hyperglycemic events being provided whenever there is more than about 5% of blood glucose readings marked as pre-meal blood glucose readings within a predetermined time period.

14. The computer program of claim 9, wherein a textual message comprises a display of an incidence of post-meal hyperglycemic events being provided whenever there is more than about 5% of blood glucose readings marked as post-meal blood glucose readings within a predetermined time period.

15. The computer program of claim 2, wherein the variability comprises (i) overall variability, (ii) hypoglycemia to hyperglycemia rebound, and (iii) incidence of hyperglycemia to hypoglycemia.

16. The computer program of claim 15, wherein a textual message comprises a display indicative of high variability being provided whenever a calculated variability of a patient within a predetermined time period is about or greater than about 90 milligram per deciliter.

17. The computer program of claim 15, wherein a textual message comprises a display indicative of hypoglycemia to hyperglycemia rebound being provided whenever there is a change from a hyperglycemic event to a hypoglycemic event within a predetermined time period less than about 4 hours.

18. The computer program of claim 15, wherein a textual message comprises a display indicative of hyperglycemia to hypoglycemia rebound being provided whenever there is a change from a hypoglycemic event to a hyperglycemic event within a predetermined time period less than about 4 hours.

19. The computer program of claim 2, wherein the differential comprises a textual indication of a calculated difference between pre-meal and post-meal medians within a reporting period being provided when the calculated difference is greater than about 50 mg/dL.

20. The computer program of claim 2, wherein the comparative analysis hypoglycemic trend comprises a textual indication of one of an upward hypoglycemic trend or downward hypoglycemic trend based on a based on a number of hypoglycemic measurement for two or more time periods, and a total number of blood glucose measurements for all of the time periods.

21. The computer program of claim 2, wherein the comparative analysis hyperglycemic trend comprises a textual indication of one of an upward hypoglycemic trend or downward hypoglycemic trend based on a number of hypoglycemic measurement for two or more time periods, and a total number of blood glucose measurements for all of the time periods.

22. The computer program of claim 1, wherein the diabetes management rule engine correlates (a) a median of blood glucose concentration values during a temporal period and (b) a median of test incidences during the temporal to define a data point on a two-dimensional coordinate graph having blood glucose values and test times.

23. The computer program of claim 22, wherein the diabetes management rule engine correlates (i) a median of insulin injection quantities over a temporal period and (ii) a median of injection incidences during the temporal period to define a data point on a two-dimensional coordinate graph having insulin injection quantities and injection times.

24. The computer program of claim 23, wherein the temporal period comprises at least one of a specific time period during a day, a plurality of time periods in a day, a specified day in a week, or a plurality of specified days in a week.

25. The computer program of claim 24, wherein the temporal period comprises at least one of testing incidences having pre-meal tests in a specific time period during a day, testing incidences having pre-meal tests in a specified day of a week, testing incidences having pre-meal tests in a plurality of days in a week, testing incidences having post-meal tests in a specific time period during a day, testing incidences having post-meal tests in a specified day of a week, or testing incidences having post-meal tests in a plurality of days in a week.