DIALYSIS TREATMENT PLANNING AND COST OPTIMIZATION

• US 20110087499A1
• Filed: 10/12/2010
• Published: 04/14/2011
• Est. Priority Date: 10/13/2009
• Status: Abandoned Application

• Current Assignee: Nxstage Medical Incorporated (Fresenius SE & Co. KGaA)
• Original Assignee: Nxstage Medical Incorporated (Fresenius SE & Co. KGaA)
• Inventors: Menon, Vivek, Nelken, Joshua, Turk, Joseph
• Application Number:
  US12/903,171
• Publication Number:
  US 20110087499A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A system, method and computer readable medium for dialysis treatment planning and optimization is disclosed. The system can include a processor programmed to perform operations including receiving a dialysis treatment parameter set and retrieving a predetermined list of dialyzers and corresponding cost and performance data for each dialyzer. The operations can also include iteratively calculating a cost impact of different treatment scenarios, the cost impact being determined based both on a clinical impact and on a cost value. Each scenario can be stored along with the dialysis treatment parameters and the calculated cost impact for each scenario. The operations can further include selecting the scenario having the most desirable cost impact; and outputting the selected scenario including the cost impact and the dialysis treatment parameters for the selected scenario.

Claims

1. A method for automatically determining a cost impact of changing a dialysis treatment parameter, the method comprising:

receiving, at a processor, a plurality of dialysis treatment parameter sets, each set corresponding to one of a plurality of patients and each having one or more dialysis treatment parameters;

retrieving, from an electronic data storage device, a predetermined list of dialyzers and corresponding cost and performance data for each respective dialyzer in the predetermined list of dialyzers;

iteratively calculating in the processor, for each patient, a cost impact of at least one scenario in which one or more of the dialysis treatment parameters in the dialysis treatment parameter set for that patient have been changed, the cost impact being determined based both on a clinical impact of changing the one or more dialysis treatment parameters and on a cost value of changing the one or more dialysis treatment parameters including changing a dialyzer for the scenario to one of the dialyzers selected from the predetermined list of dialyzers;

storing each scenario, including the dialysis treatment parameters and the calculated cost impact for each scenario, in the electronic data storage device so as to make each cost impact calculation available for output by the processor;

selecting, using the processor, the scenario for each patient having the most desirable cost impact; and

outputting each selected scenario including the cost impact and the dialysis treatment parameters for each selected scenario.

2. The method of claim 1, wherein the one or more dialysis treatment parameters includes a clinical parameter.

4. The method of claim 1, wherein the one or more dialysis treatment parameters includes a specific dialyzer make and model selected from the predetermined list of dialyzers.

5. The method of claim 1, wherein the method is adapted for operation on a personal computer (PC).

6. The method of claim 1, wherein the method is adapted to be provided as a web service.

7. The method of claim 1, wherein the method is adapted for operation on a portable computer.

8. The method of claim 1, wherein the dialysis treatment parameter set includes one or more of a minimum blood flow, a maximum blood flow, a minimum dialysate flow, a maximum dialysate flow, a minimum treatment time, a maximum treatment time, and an optimization speed and sensitivity parameter.

9. The method of claim 8, wherein the iteratively calculating includes changing a value for dialysate flow to a value between the minimum dialysate flow and the maximum dialysate flow, inclusively, in an increment based on the optimization speed and sensitivity parameter.

10. The method of claim 8, wherein the iteratively calculating includes changing a value for blood flow to a value between the minimum blood flow and the maximum blood flow, inclusively, in an increment based on the optimization speed and sensitivity parameter.

11. The method of claim 8, wherein the iteratively calculating includes changing a value for treatment time to a value between the minimum treatment time and the maximum treatment time, inclusively, in an increment based on the optimization speed and sensitivity parameter.

12. The method of claim 1, wherein the cost impact for each scenario is calculated based on cost inputs provided by a user.

13. The method of claim 12, wherein the cost inputs include at least one of an average dialysate cost, a labor cost for each treatment, and an average length of time for each treatment.

14. The method of claim 1, wherein the cost impact for each scenario is calculated based on one or more cost constraints

15. The method of claim 14, wherein the one or more cost constraints include at least one of an average dialysate cost and an average labor cost for each treatment.

16. The method of claim 1, wherein the cost impact for each scenario is calculated based on one or more kinetic parameters that can be modified by a user.

17. The method of claim 1, wherein the outputting includes displaying each selected scenario on a display device coupled to the processor.

18. The method of claim 1, wherein the outputting includes printing each selected scenario on a printer coupled to the processor.

19. The method of claim 1, wherein the outputting includes communicating each selected scenario in an electronic message over a communications network to another system.

3. The method of claim 3, wherein the clinical parameter is one of an arterial pressure, a bloodline type, a desired Kt/V value, and a treatment time.

20. A system for dialysis treatment planning and optimization, the system comprising:

a processor coupled to a computer readable storage device, the storage device having stored thereon program instructions that, when executed by the processor, cause the processor to perform operations including;

receiving, at the processor, a dialysis treatment parameter set corresponding to a patient and having one or more dialysis treatment parameters;

retrieving, from the storage device, a predetermined list of dialyzers and corresponding cost and performance data for each respective dialyzer in the predetermined list of dialyzers;

iteratively calculating a cost impact of at least one scenario in which one or more of the dialysis treatment parameters in the dialysis treatment parameter set has been changed, the cost impact being determined based both on a clinical impact of changing the one or more dialysis treatment parameters and on a cost value of changing the one or more dialysis treatment parameters including changing a dialyzer for the scenario to one of the dialyzers selected from the predetermined list of dialyzers;

storing each scenario, including the dialysis treatment parameters and the calculated cost impact for each scenario, in the electronic data storage device so as to make each cost impact calculation available for output by the processor;

selecting, using the processor, the scenario having the most desirable cost impact; and

outputting the selected scenario including the cost impact and the dialysis treatment parameters for the selected scenario.

21. The system of claim 20, wherein the one or more dialysis treatment parameters includes a clinical parameter.

22. The system of claim 21, wherein the clinical parameter is one of an arterial pressure, a bloodline type, a desired Kt/V value, and a treatment time.

23. The system of claim 20, wherein the one or more dialysis treatment parameters includes a specific dialyzer make and model selected from the predetermined list of dialyzers.

24. The system of claim 20, wherein the processor is disposed on a personal computer (PC).

25. The system of claim 20, wherein the processor is adapted to operate as a server and provide a web service for dialysis treatment planning and optimization.

26. The system of claim 20, wherein the processor is adapted for operation on a portable computer and the processor and the memory are disposed in a portable computer system.

27. The system of claim 20, wherein the dialysis treatment parameter set includes one or more of a minimum blood flow, a maximum blood flow, a minimum dialysate flow, a maximum dialysate flow, a minimum treatment time, a maximum treatment time, and an optimization speed and sensitivity parameter.

28. The system of claim 27, wherein the iteratively calculating includes changing a value for dialysate flow to a value between the minimum dialysate flow and the maximum dialysate flow, inclusively, in an increment based on the optimization speed and sensitivity parameter.

29. The system of claim 27, wherein the iteratively calculating includes changing a value for blood flow to a value between the minimum blood flow and the maximum blood flow, inclusively, in an increment based on the optimization speed and sensitivity parameter.

30. The system of claim 27, wherein the iteratively calculating includes changing a value for treatment time to a value between the minimum treatment time and the maximum treatment time, inclusively, in an increment based on the optimization speed and sensitivity parameter.

31. The system of claim 20, wherein the cost impact for each scenario is calculated based on cost inputs provided by a user.

32. The system of claim 31, wherein the cost inputs include at least one of an average dialysate cost, a labor cost for each treatment, and an average length of time for each treatment.

33. The system of claim 20, wherein the cost impact for each scenario is calculated based on one or more cost constraints

34. The system of claim 33, wherein the one or more cost constraints include at least one of an average dialysate cost and an average labor cost for each treatment.

35. The system of claim 20, wherein the cost impact for each scenario is calculated based on one or more kinetic parameters that can be modified by a user.

36. The system of claim 20, wherein the system further includes a display device coupled to the processor and the outputting includes displaying the selected scenario on the display device.

37. The system of claim 20, wherein the system further includes a printer coupled to the processor and the outputting includes printing the selected scenario on the printer.

38. The system of claim 20, wherein the system is coupled to a network and the outputting includes communicating the selected scenario in an electronic message over a communications network to another system.

58. The system of claim 20, wherein the system is adapted to be embedded in a dialysis machine and to provide dialysis treatment planning and optimization from within that dialysis machine.

59. The system of claim 20, wherein the system is adapted to provide dialysis treatment and planning over a network to a remote user.

39. A nontransitory computer readable medium having stored thereon program instructions that, when executed by a processor, cause the processor to perform operations comprising:

receiving, at the processor, a dialysis treatment parameter corresponding to a patient;

retrieving, from a storage device coupled to the processor, cost and performance data for a new dialyzer;

iteratively calculating a cost impact of at least one scenario in which the dialysis treatment parameter has been changed, the cost impact being determined based on a cost value of changing the dialysis treatment parameters including changing a dialyzer for the scenario to the new dialyzer;

selecting, using the processor, the scenario having the most desirable cost impact; and

outputting the selected scenario including the cost impact and the dialysis treatment parameters for the selected scenario.

40. The computer readable medium of claim 39, wherein the dialysis treatment parameter is a clinical parameter.

41. The computer readable medium of claim 40, wherein the clinical parameter is one of an arterial pressure, a bloodline type, a desired Kt/V value, and a treatment time.

42. The computer readable medium of claim 39, wherein the dialysis treatment parameter is a specific dialyzer make and model.

43. The computer readable medium of claim 39, wherein the instructions are adapted for execution on a personal computer (PC).

44. The computer readable medium of claim 39, wherein the instructions are adapted for execution on a server and further include providing a web service for dialysis treatment planning and optimization.

45. The computer readable medium of claim 39, wherein the instructions are adapted for execution on a portable computer.

46. The computer readable medium of claim 39, wherein the dialysis treatment parameter includes one of a minimum blood flow, a maximum blood flow, a minimum dialysate flow, a maximum dialysate flow, a minimum treatment time, a maximum treatment time, and an optimization speed and sensitivity parameter.

47. The computer readable medium of claim 46, wherein the iteratively calculating includes changing a value for dialysate flow to a value between the minimum dialysate flow and the maximum dialysate flow, inclusively, in an increment based on the optimization speed and sensitivity parameter.

48. The computer readable medium of claim 46, wherein the iteratively calculating includes changing a value for blood flow to a value between the minimum blood flow and the maximum blood flow, inclusively, in an increment based on the optimization speed and sensitivity parameter.

49. The computer readable medium of claim 46, wherein the iteratively calculating includes changing a value for treatment time to a value between the minimum treatment time and the maximum treatment time, inclusively, in an increment based on the optimization speed and sensitivity parameter.

50. The computer readable medium of claim 39, wherein the cost impact for each scenario is calculated based on cost inputs provided by a user.

51. The computer readable medium of claim 50, wherein the cost inputs include at least one of an average dialysate cost, a labor cost for each treatment, and an average length of time for each treatment.

52. The computer readable medium of claim 39, wherein the cost impact for each scenario is calculated based on one or more cost constraints

53. The computer readable medium of claim 52, wherein the one or more cost constraints include at least one of an average dialysate cost and an average labor cost for each treatment.

54. The computer readable medium of claim 39, wherein the cost impact for each scenario is calculated based on one or more kinetic parameters that can be modified by a user.

55. The computer readable medium of claim 39, wherein the operations further include displaying the selected scenario on a display device.

56. The computer readable medium of claim 39, wherein the operations further include printing the selected scenario on a printer.

57. The computer readable medium of claim 39, wherein the operations further include communicating the selected scenario in an electronic message over a communications network to another system.