Method and system for event based data comparison

• US 20090147006A1
• Filed: 12/07/2007
• Published: 06/11/2009
• Est. Priority Date: 12/07/2007
• Status: Abandoned Application

• Current Assignee: Roche Diabetes Care Inc. (Roche Holding AG)
• Original Assignee: Roche Diagnostics Operations Incorporated (Roche Holding AG)
• Inventors: Buck, Schuyler, Young, Morris J.
• Application Number:
  US11/999,921
• Publication Number:
  US 20090147006A1
• Time in Patent Office: Days
• US Class Current: 345/440.200
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A method of displaying medical data for at least one patient allows the data to be displayed in graphical format as either a trend graph or a histogram. The data may be sorted based upon a selected event. The trend graph may include a line representing the event, and the data on the graph may be plotted on the graph for specific periods before and after the event. When the data is displayed as a histogram, the data prior to the event is represented by one type of bars, and the data after the event is represented by another type of bars. The selected event, and the type of data displayed on the graph may be altered.

Claims

1. A method of presenting a set of data on a display including a graph, the method comprising the steps of:

selecting an event;

dividing the set of data into a first subset of data that occurred prior to the event and a second subset of data that occurred after the event;

plotting the first subset of data on the graph; and

plotting the second subset of data on the graph in a manner distinguishing the second subset of data from the first subset of data.

2. The method as set forth in claim 1 further comprising the step of plotting an event indicator on the graph between the first subset of data and the second subset of data.

3. The method as set forth in claim 2 wherein the indicator is a line.

4. The method as set forth in claim 1 wherein the first subset of data and the second subset of data are plotted as a trend line.

5. The method as set forth in claim 4 further comprising the step of plotting a standard deviation indicator on the graph.

6. The method as set forth in claim 5 wherein the standard deviation indicator is a shaded area.

7. The method as set forth in claim 1 further comprising the steps of:

dividing a second set of data into a first subset of second data and a second subset of second data;

plotting the first subset of second data on the graph; and

plotting the second subset of second data on the graph.

8. The method as set forth in claim 7 further comprising the step of removing the first subset of data from the graph.

9. The method as set forth in claim 1 wherein the first subset of data is plotted as a first subset of bars and the second subset of data is plotted as a second subset of bars.

10. The method as set forth in claim 9 wherein the first subset of bars are spaced apart from the second subset of bars.

11. The method as set forth in claim 9 wherein the first subset of bars are a first color and the second subset of bars are a second color and the first color differs from the second color.

12. The method as set forth in claim 9 wherein the data represents a percentage of patients.

13. The method as set forth in claim 9 wherein the data represents a percentage of results.

14. The method as set forth in claim 1 wherein the set of data comprises blood glucose measurements of at least one patient over time.

15. A method of plotting a set of data on a graph in order to determine if an event affected the health of a patient, the method comprising the steps of:

plotting the data on the graph; and

plotting an indicator representing the event on the graph.

16. The method as set forth in claim 15 wherein the indicator is a line.

17. The method as set forth in claim 15 further comprising the steps of:

selecting a finite period of time that includes the event; and

plotting the data on the graph that falls within the time period.

18. The method as set forth claim 15 further comprising the steps of:

selecting a second set of data; and

plotting the second set of data on the graph.

19. The method as set forth in claim 18 further comprising the step of removing the first set of data from the graph.

20. The method as set forth in claim 15 wherein the data is represented by a trend line.

21. The method as set forth in claim 15 wherein the data represents blood glucose measurements taken over time.

22. The method as set forth in claim 15 wherein the data represents insulin measurements taken over time.

23. A method of plotting a set of data on a histogram comprising the steps of:

selecting an event;

dividing the data into a first subset of data that occurred prior to the event and a second subset of data that occurred after the event;

displaying the first subset of data as at least one bar of a first type; and

displaying the second subset of data as at least one bar of a second type.

24. The method as set forth in claim 23 further comprising the steps of:

selecting a time period encompassing the event; and

limiting the data to a subset of data within the time period.

25. The method as set forth in claim 23 wherein the data represents a percentage of results.

26. The method as set forth in claim 23 wherein the data represents a percentage of patients.

27. The method as set forth in claim 23 wherein the first bar type is of a first color and the second bar type is of a second color.

28. The method as set forth in claim 23 wherein the data represents blood glucose data measured over time.

29. The method as set forth in claim 23 wherein the data represents insulin measurements taken over time.