Advanced patient management for identifying, displaying and assisting with correlating health-related data

• US 20040122297A1
• Filed: 12/18/2002
• Published: 06/24/2004
• Est. Priority Date: 12/18/2002
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Stahmann, Jeffrey E., Zhu, Qingsheng, Hatlestad, John
• Granted Patent: US 7,468,032 B2
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2560/0271 using a remote monitoring unit
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/0215 by means inserted into the body catheters A61M25/00
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/0809 by impedance pneumography
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/0833 Measuring rate of oxygen consumption
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/205 Determining bladder or urethral pressure
• CPC Class Codes: A61B 5/363 Detecting tachycardia or bradycardia
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/7435 Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A61B 7/00 Instruments for auscultation
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Systems, devices and methods for identifying, displaying and assisting in correlating health-related data are disclosed. One aspect is a programmable device having machine executable instructions for performing a method for use in correlating data to manage a patient'"'"'s health. In various embodiments, data related to the patient'"'"'s health is acquired. The acquired data includes one or more trended health-related parameters, and at least one of one or more predetermined health-related events and one or more health-related alerts. Correlations are identified. The one or more trended health-related parameters and the at least one of the one or more predetermined health-related events and the one or more health-related alerts establish a causal relationship between the acquired data and the patient'"'"'s health. Other aspects and embodiments are provided herein.

Claims

1. A programmable device having machine executable instructions for performing a method for use in correlating data to manage a patient'"'"'s health, the method comprising:

acquiring data related to the patient'"'"'s health, including;

acquiring one or more trended health-related parameters; and

acquiring at least one of one or more predetermined health-related events and one or more health-related alerts; and

determining a correlation among the one or more trended health-related parameters, and the at least one of the one or more predetermined health-related events and the one or more health-related alerts.

2. The device of claim 1, wherein determining a correlation among the one or more trended health-related parameters, and the at least one of the one or more predetermined health-related events and the one or more health-related alerts includes displaying the acquired data in a manner useful to visually identify the correlative relationship.

3. The device of claim 2, wherein displaying the acquired data in a manner useful to visually identify the correlative relationship includes displaying the acquired data using a portable device.

4. The device of claim 2, wherein identifying a correlative relationship includes identifying a causal relationship.

5. The device of claim 4, wherein identifying a causal relationship includes identifying a causal relationship with the patient'"'"'s health.

6. The device of claim 2, wherein displaying the acquired data in a manner useful to visually identify the correlative relationship includes displaying the acquired data using a wellness monitoring device (WMD).

7. The device of claim 2, wherein displaying the acquired data in a manner useful to visually identify the correlative relationship includes displaying the acquired data using a programmer device.

8. The device of claim 2, wherein displaying the acquired data in a manner useful to visually identify the correlative relationship includes displaying a cursor to visually correlate the acquired data.

9. The device of claim 2, wherein determining a correlation among the one or more trended health-related parameters, and the at least one of the one or more predetermined health-related events and the one or more health-related alerts further includes automatically identifying a causal relationship.

10. The device of claim 9, wherein automatically identifying a causal relationship includes identifying a causal relationship with the patient'"'"'s health.

11. The device of claim 1, wherein determining a correlation among the one or more trended health-related parameters, and the at least one of the one or more predetermined health-related events and the one or more health-related alerts includes automatically identifying the causal relationship with respect to the patient'"'"'s health.

12. The device of claim 11, wherein the method performed further includes displaying the causal relationship that has been automatically identified.

13. The device of claim 12, wherein automatically identifying the causal relationship with respect to the patient'"'"'s health and displaying the causal relationship that has been automatically identified includes automatically searching for a correlation between atrial fibrillation percentage and activity log changes.

14. The device of claim 1, wherein acquiring the one or more trended parameters includes acquiring at least one mental/emotional parameter.

15. The device of claim 14, wherein acquiring at least one mental/emotional parameter includes acquiring at least one parameter related to stress.

16. The device of claim 14, wherein acquiring at least one mental/emotional parameter includes acquiring at least one parameter related to anxiety.

17. The device of claim 14, wherein acquiring at least one mental/emotional parameter includes acquiring at least one parameter related to depression.

18. The device of claim 14, wherein acquiring at least one mental/emotional parameter includes acquiring at least one parameter related to anger.

19. The device of claim 14, wherein acquiring at least one mental/emotional parameter includes acquiring at least one parameter related to excitement.

20. The device of claim 1, wherein acquiring the one or more trended parameters includes acquiring at least one environmental parameter.

21. The device of claim 20, wherein acquiring at least one environmental parameter includes acquiring at least one altitude-related parameter.

22. The device of claim 20, wherein acquiring at least one environmental parameter includes acquiring at least one parameter related to temperature.

23. The device of claim 20, wherein acquiring at least one environmental parameter includes acquiring at least one parameter related to air quality.

24. The device of claim 20, wherein acquiring at least one environmental parameter includes acquiring at least one parameter related to pollen count.

25. The device of claim 20, wherein acquiring at least one environmental parameter includes acquiring at least one parameter related to humidity.

26. The device of claim 1, wherein acquiring the one or more trended parameters includes acquiring at least one patient symptom parameter.

27. The device of claim 26, wherein acquiring at least one patient symptom parameter includes acquiring at least one parameter related to pain.

28. The device of claim 26, wherein acquiring at least one patient symptom parameter includes acquiring at least one parameter related to dyspnea.

29. The device of claim 26, wherein acquiring at least one patient symptom parameter includes acquiring at least one parameter related to fatigue.

30. The device of claim 1, wherein acquiring the one or more trended parameters includes acquiring at least one diet parameter.

31. The device of claim 30, wherein acquiring at least one diet parameter includes acquiring at least one parameter related to sodium intake.

32. The device of claim 30, wherein acquiring at least one diet parameter includes acquiring at least one parameter related to lipid intake.

33. The device of claim 30, wherein acquiring at least one diet parameter includes acquiring at least one parameter related to liquid intake.

34. The device of claim 1, wherein acquiring the one or more trended parameters includes acquiring at least one medication compliance parameter.

35. The device of claim 34, wherein acquiring at least one medication compliance parameter includes acquiring at least one parameter regarding insulin intake.

36. The device of claim 34, wherein acquiring at least one medication compliance parameter includes acquiring at least one parameter regarding diuretic intake.

37. The device of claim 34, wherein acquiring at least one medication compliance parameter includes acquiring at least one parameter regarding beta-blocker intake.

38. The device of claim 1, wherein the acquired data includes data acquired from at least one implantable medical device (IMD).

39. The device of claim 1, wherein acquiring data related to the patient'"'"'s health includes acquiring one or more trended health-related parameters, one or more predetermined health-related events, and one or more health-related alerts.

40. An advanced patient management system, comprising a programmable device having machine executable instructions for performing a method for use in correlating data to manage a patient'"'"'s health, the method comprising:

acquiring data related to the patient'"'"'s health, including;

acquiring one or more trended health-related parameters; and

acquiring at least one of one or more predetermined health-related events and one or more health-related alerts; and

displaying the acquired data in a manner useful to visually identify the correllative relationship.

41. The system of claim 40, further comprising automatically determining a correlation among the one or more trended health-related parameters, and the at lest one of the one or more predetermined health-related events and the one or more health-related alerts.

42. The system of claim 40, wherein acquiring data related to the patient'"'"'s health includes acquiring one or more trended health-related parameters, one or more predetermined health-related events, and one or more health-related alerts.

43. A device for monitoring a patient'"'"'s health condition, comprising:

at least one data input to receive data, including one or more trended parameters, and at least one of one or more predetermined event and one or more alerts; and

a correlation module to;

communicate with the at least one data input;

correlate the one or more trended parameters, the one or more predetermined events, and the one or more alerts; and

establish a correlative relationship.

44. The device of claim 43, wherein the correlation module to establish a correlative relationship includes a correlation module to establish a causal relationship.

45. The device of claim 44, wherein the correlation module to establish a causal relationship includes a correlation module to establish a causal relationship between data and the patient'"'"'s health.

46. The device of claim 45, wherein the correlation module to display the data in a manner suitable to visibly identify the causal relationship with respect to the patient'"'"'s health.

47. The device of claim 46, wherein the correlation module to display an indicator along with the data in a manner suitable to visibly identify the causal relationship with respect to the patient'"'"'s health.

48. The device of claim 43, wherein the at least one data input includes a first data input to receive one or more trended parameters, a second data input to receive one or more predetermined events, and a third data input to receive one or more alerts.

49. The device of claim 43, wherein one or more correlation algorithms are used by the correlation module to automatically identify the causal relationship with respect to the patient'"'"'s health.

50. The device of claim 43, wherein the correlation module to trigger an action based on the causal relationship with respect to the patient'"'"'s health.

51. The device of claim 50, wherein the correlation module to trigger an implantable medical device (IMD) therapy change based on the causal relationship with respect to the patient'"'"'s health.

52. The device of claim 43, wherein the device includes a wellness monitoring device (WMD).

53. The device of claim 43, wherein the device includes an implantable medical device (IMD).

54. A system for correlating data for use in managing a patient'"'"'s health, comprising:

acquisition means for acquiring health-related data, including means for acquiring one or more trended parameters, and at least one of one or more predetermined events and one or more physician alerts; and

correlation means for correlating the one or more trended parameters, and at least one of the one or more predetermined events and the one or more physician alerts to establish a correlative relationship.

55. The system of claim 54, wherein the correlation means includes correlation means to establish a causal relationship.

56. The system of claim 55, wherein the correlation means includes correlation means to establish a causal relationship between data and the patient'"'"'s health.

57. The system of claim 54, wherein the correlation means includes correlation means for correlating the one or more trended parameters, at least one of the one or more predetermined events and the one or more physician alerts to establish a correlative relationship.

58. The system of claim 54, wherein the acquisition means includes at least one implantable medical device (IMD) sensor.

59. The system of claim 54, wherein the acquisition means includes at least one data input to acquire at least one mental/emotional parameter.

60. The system of claim 54, wherein the acquisition means includes at least one data input to acquire at least one environmental parameter.

61. The system of claim 54, wherein the acquisition means includes at least one data input to acquire at least one diet parameter.

62. The system of claim 54, wherein the data input includes at least one sensor.

63. The system of claim 54, wherein the at least one sensor includes an implantable medical device (IMD) sensor.

64. The system of claim 54, wherein the at least one sensor includes a sensor for acquiring at least one mental/emotional parameter.

65. The system of claim 54, wherein the at least one sensor includes a sensor for acquiring at least one environmental parameter.

66. The system of claim 54, wherein the at least one sensor includes a sensor for acquiring at least one diet parameter.

67. The system of claim 54, wherein the data input includes at least one input device to receive user-inputted data.

68. The system of claim 54, wherein the data input includes at least one communication module to communicate with a database of health-related data.

69. The system of claim 68, wherein the at least one communication module to communicate with a database of health-related data includes a communication module to communicate with a database of environmental data suitable to be accessed through a global communication network.