Cost sensitivity decision tool for predicting and/or guiding health care decisions

• US 20050182659A1
• Filed: 02/04/2005
• Published: 08/18/2005
• Est. Priority Date: 02/06/2004
• Status: Active Application

• Current Assignee: Christine C. Huttin
• Original Assignee: Christine C. Huttin
• Inventors: Huttin, Christine C.
• Application Number:
  US11/051,565
• Publication Number:
  US 20050182659A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

Abstract

Methods, devices and systems are disclosed that may be used as a predictive tool for disease surveillance, may be implemented for cost management of delivered health care within a managed care structure, and may be implemented for market simulation for product testing or introduction.

Claims

1. A method comprising:

selecting at least one variable;

generating a cost sensitivity index using the selected at least one variable; and

determining a treatment decision shift using the generated cost sensitivity index.

2. The method of claim 1, further comprising configuring the at least one variable as a physician variable.

3. The method of claim 1, further comprising configuring the at least one variable as an implicit cost variable.

4. The method of claim 1, further comprising configuring the at least one variable as an explicit cost variable.

5. The method of claim 1, further comprising configuring the at least one variable as a patient variable.

6. The method of claim 1, further comprising generating a treatment decision using the generated cost sensitivity index to determine the treatment decision shift.

7. The method of claim 6, further comprising selecting a health care decision based on the generated treatment decision.

8. The method of claim 6, further comprising comparing the cost sensitivity index with a lookup table to generate the treatment decision.

9. The method of claim 1, further comprising surveying a group to generate a response to the at least one selected variable.

10. The method of claim 9, further comprising configuring the group to be physicians.

11. The method of claim 9, further comprising configuring the group to be patients.

12. The method of claim 11, further comprising configuring the at least one variable to be selected from the group consisting of patient affordability, patient demand for cheaper medication, severity of the disease or disorder, and patient copay for a selected comedication.

13. The method of claim 1, further comprising selecting a plurality of variables.

14. The method of claim 13, further comprising ranking the variables from most important to least important to generate the cost sensitivity index.

15. The method of claim 14, further comprising assigning the ranked variables a score.

16. The method of claim 14, further comprising weighting one or more scores assigned to the variables.

17. The method of claim 16, further comprising generating the cost sensitivity index from the weighted scores.

18. The method of claim 17, further comprising summing the weighted scores to generate the cost sensitivity index.

19. The method of claim 17, further comprising averaging the weighted scores to generate the cost sensitivity index.

20. The method of claim 17, further comprising summing the weighted scores and comparing the summed weighted scores to a lookup table to determine the treatment decision shift.

21. (canceled)

22. (canceled)

23. (canceled)

24. (canceled)

25. (canceled)

26. (canceled)

27. (canceled)

28. (canceled)

29. (canceled)

30. (canceled)

31. (canceled)

32. (canceled)

33. (canceled)

34. (canceled)

35. Cancelled)

36. (canceled)

37. (canceled)

38. (canceled)

39. (canceled)

40. (canceled)

41. (canceled)

42. (canceled)

43. (canceled)

44. (canceled)

45. (canceled)

46. (canceled)

47. (canceled)

48. (canceled)

49. (canceled)

50. (canceled)

51. (canceled)

52. (canceled)

53. (canceled)

54. A method comprising:

surveying a group of patients;

generating a quality index based on survey results from the surveying of the group of patients; and

determining a treatment decision shift using the generated quality index.

55. (canceled)

56. (canceled)

57. (canceled)

58. (canceled)

59. (canceled)

60. (canceled)

61. (canceled)

62. (canceled)

63. (canceled)

64. (canceled)

65. (canceled)

66. A method comprising:

surveying a group of patients;

generating a risk index based on survey results from the surveying of the group of patients; and

determining a treatment decision shift using the generated risk index.

67. (canceled)

68. (canceled)

69. (canceled)

70. (canceled)

71. (canceled)

72. (canceled)

73. (canceled)

74. (canceled)

75. (canceled)

76. (canceled)

77. (canceled)

78. (canceled)

79. (canceled)

80. A system comprising a processor and a storage unit and operative to perform a market simulation using an index selected from one or more of a cost sensitivity index, a quality index or a risk index.