Blood Glucose Meter Supporting Contextual Data Filtering

• US 20150324520A1
• Filed: 05/12/2014
• Published: 11/12/2015
• Est. Priority Date: 05/12/2014
• Status: Abandoned Application

• Current Assignee: Roche Diabetes Care Inc. (Roche Holding AG)
• Original Assignee: Roche Diagnostics Operations Incorporated (Roche Holding AG)
• Inventors: Aykroyd, Timothy N., Day, Amy C., Galley, Paul J., McKinney, Erin K., Mears, Mark G., Stevens, Michelle M., Tillery, Nicole D.
• Application Number:
  US14/275,455
• Publication Number:
  US 20150324520A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2562/0295 Strip shaped analyte sensors for apparatus classified in A61B5/145 or A61B5/157 disposable multilayered or laminated electrodes G01N27/307; details of handling chemical test elements G01N33/4875
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: A61B 5/748 Selection of a region of interest, e.g. using a graphics tablet
• CPC Class Codes: G06F 16/2322 using timestamps
• CPC Class Codes: G06F 16/2477 Temporal data queries
• CPC Class Codes: G06F 16/436 using biological or physiological data of a human being, e.g. blood pressure, facial expression, gestures
• CPC Class Codes: G16B 50/00 ICT programming tools or database systems specially adapted for bioinformatics
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 40/63 for local operation

Abstract

The handheld blood glucose meter creates blood glucose records having contextual information to improve filtering of blood glucose records for improved healthcare decisions. The contextual information includes events and associated sub-events. The user selects an event indicator from the plurality of event indicators, and the meter associates the blood glucose measurement with an event that corresponds to the event indicator. The user selects a sub-event indicator from the plurality of sub-event indicators, and the meter associates the blood glucose measurement with a sub-event that corresponds to the sub-event indicator. The user repeats the preceding steps to obtain a plurality of blood glucose measurements with associated events and sub-events. The user selects data filtering, a predetermined range of blood glucose measurements along with an event and sub-event to produce a filter result meeting these criteria.

Claims

1. A method for filtering blood glucose measurements and associated contextual data of a user on a handheld blood glucose meter, comprising:

storing by the blood glucose meter a plurality of blood glucose measurements with each of the blood glucose measurements having an associated date and time, an event, and a sub-event associated with the event, the blood glucose having a meter display;

selecting data filtering on the meter display by the user;

selecting a predetermined range for blood glucose measurements;

selecting from a plurality of event indicators on the meter display an event indicator by the user;

selecting from a plurality of sub-event indicators on the meter display associated with the selected event indicator a sub-event indicator by the user; and

displaying a plurality of blood glucose measurements within the predetermined range that have both the event and sub-event that correspond to the event indicator and sub-event indicator selected by the user.

2. The method of claim 1, wherein the predetermined range is selected from one of a low data range that is below a target range and a high data range that is above the target range.

3. The method of claim 2, wherein the low data range is selected from within a first range from about 50 mg/dL to about 100 mg/dL and the high data is selected from within a second range from about 101 mg/dL to about 200 mg/dL.

4. The method of claim 1, wherein the event indicator is selected from one of before meal, after meal, fasting, bedtime, felt hypoglycemic, exercise, and alcohol.

5. The method of claim 1, wherein the selected event indicators of before meal, after meal, and exercise each have associated sub-event indicators selected from one of breakfast, lunch, dinner, snack, coffee break, walking, running, cycling, and swimming.

6. The method of claim 1, further comprising:

determining after the user selects the predetermined range on the meter display that a target range is disabled and no stored blood glucose measurements have target range markers;

stopping data filtering because no stored blood glucose measurements have target range markers;

displaying that data filtering has been stopped because no stored blood glucose measurements have target range markers on the meter display.

7. A method for filtering blood glucose measurements and associated contextual data of a user on a computing device, comprising:

receiving by the computing device from a blood glucose meter a plurality of blood glucose measurements, each of the blood glucose measurements having an associated date and time, an event, and a sub-event associated with the event, the computing device having a device display;

selecting data filtering on the computing device display by the user;

selecting a predetermined range for blood glucose measurements;

selecting from a plurality of event indicators on the computing device display an event indicator by the user;

selecting from a plurality of sub-event indicators on the computing device display associated with the selected event indicator a sub-event indicator by the user; and

displaying a plurality of blood glucose measurements within the predetermined range that have both the event and the sub-event that correspond to the event indicator and sub-event indicator selected by the user.

8. The method of claim 7, wherein the predetermined range is selected from one of a low data range that is below a target range and a high data range that is above the target range.

9. The method of claim 8, wherein the low data range is selected from within a first data range from about 50 mg/dL to about 100 mg/dL and the high data range is selected from within a second data range from about 101 mg/dL to about 200 mg/dL.

10. The method of claim 7, wherein the event indicator is selected from one of before meal, after meal, fasting, bedtime, felt hypoglycemic, exercise, and alcohol.

11. The method of claim 7, wherein the selected event indicators of before meal, after meal, and exercise each have associated sub-event indicators selected from one of breakfast, lunch, dinner, snack, coffee break, walking, running, cycling, and swimming.

12. The method of claim 7, further comprising:

determining after the user selects the predetermined range of blood glucose measurements on the computing device display that a target range is disabled and no stored blood glucose measurements have target range markers;

stopping data filtering because no blood glucose measurements have target range markers;

displaying that data filtering has been stopped because no blood glucose measurements have target range markers on the computing device display.

13. A method for filtering blood glucose measurements and associated contextual data of a user on a handheld blood glucose meter, comprising:

(a) obtaining a blood glucose measurement with a blood glucose meter operated by the user and the blood glucose meter associates a date and time with the blood glucose measurement, the blood glucose meter having a display;

(b) displaying a plurality of event indicators on the meter display;

(c) selecting an event indicator by the user from the plurality of event indicators;

(d) associating the blood glucose measurement with an event that corresponds to the event indicator;

(e) displaying a plurality of sub-event indicators on the meter display associated with the selected event indicator;

(f) selecting a sub-event indicator by the user from the plurality of sub-event indicators;

(g) associating the blood glucose measurement with a sub-event corresponding to the selected sub-event indicator;

repeating (a)-(g) by the user to create a plurality of blood glucose measurements with associated events and sub-events;

selecting data filtering on the meter display by the user;

selecting a predetermined range for blood glucose measurements;

selecting from the plurality of event indicators on the meter display an event indicator by the user;

selecting from the plurality of sub-event indicators on the meter display associated with the selected event indicator by the user a sub-event indicator by the user; and

displaying a plurality of blood glucose measurements within the predetermined range that have both the event and the sub-event that correspond to the selected event indicator and the selected sub-event indicator selected by the user.

14. The method of claim 13, wherein the predetermined range is selected from one of a low data range that is below a target range and a high data range that is above a target range.

15. The method of claim 14, wherein the low data range is selected from within a first range from about 50 mg/dL to about 100 mg/dL and the high data range is selected from within a second range from about 101 mg/dL to about 200 mg/dL.

16. The method of claim 13, wherein the event indicator is selected from one of before meal, after meal, fasting, bedtime, felt hypoglycemic, exercise, and alcohol.

17. The method of claim 13, wherein the selected event indicators of before meal, after meal, and exercise each have associated sub-event indicators selected from one of breakfast, lunch, dinner, snack, coffee break, walking, running, cycling, and swimming.

18. The method of claim 13, further comprising:

determining after the user selects the predetermined range on the meter display that a target range is disabled and no stored blood glucose measurements have target range markers;

stopping data filtering because no stored blood glucose measurement have target range markers; and

displaying that data filtering has been stopped because no stored blood glucose measurements have target range markers on the meter display.