Medical resource processing system and method utilizing multiple resource type data

• US 20040122719A1
• Filed: 12/18/2002
• Published: 06/24/2004
• Est. Priority Date: 12/18/2002
• Status: Abandoned Application

• Current Assignee: GE Medical Systems Global Technology Company LLC (GE Healthcare Technologies, Inc.)
• Original Assignee: GE Medical Systems Global Technology Company LLC (GE Healthcare Technologies, Inc.)
• Inventors: Avinash, Gopal B., Walker, Matthew J., Sabol, John M.
• Application Number:
  US10/323,335
• Publication Number:
  US 20040122719A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06311 Scheduling, planning or task assignment for a person or group
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 70/20 relating to practices or guidelines
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

A technique is provided for planning resources in a medical context. Clinical and non-clinical data is stored in and accessed from an integrated knowledge base. The data is derived from a variety of controllable and prescribable data resources of different modalities and types. Projection data is generated based upon analysis of the accessed data, with projections being made for resources of various modalities and types needed for rendering medical services. The technique permits short, medium and long-range forecasting of resource needs based upon both clinical and non-clinical data.

Claims

1. A method for processing medical resource data, the method comprising:

accessing clinical medical data from an integrated knowledge base, the integrated knowledge base including clinical and non-clinical medical data derived from data from a plurality of controllable and prescribable resource types;

accessing non-clinical data from the integrated knowledge base representative of available resources needed to provide medical services; and

generating and storing projection data representative of needs for a resource based upon the clinical data and the non-clinical data.

2. The method of claim 1, wherein the clinical data are representative of a physiological condition of a patient for the medical services.

3. The method of claim 1, wherein the clinical data are representative of physiological conditions of a plurality of patients for the medical services.

4. The method of claim 1, wherein the projection data is generated at least partially based upon a computer-assisted data operating algorithm.

5. The method of claim 4, wherein data operating algorithm is selected from a group consisting of computer-assisted detection algorithms, computer-assisted diagnosis algorithms, computer-assisted decision support algorithms, computer-assisted acquisition algorithms, computer-assisted analysis algorithms, computer-assisted processing algorithms, computer-assisted prognosis algorithms, computer-assisted treatment algorithms, computer-assisted prescription algorithms, and computer-assisted assessment algorithms.

6. The method of claim 4, wherein the data operating algorithm performs feature detection on patient data.

7. The method of claim 4, wherein the data operating algorithm performs feature segmentation on patient data.

8. The method of claim 4, wherein the data operating algorithm performs feature classification on patient data.

9. The method of claim 1, wherein the clinical data are derived from data from a first type of controllable and prescribable resource, and the projection data are representative of needs for a second type of controllable and prescribable resource different from the first type.

10. The method of claim 9, wherein the first and second types are selected from a group consisting of electrical resources, imaging resources, laboratory resources, histologic resources, financial resources, and demographic data resources.

11. The method of claim 1, wherein the clinical data are derived from data from a first modality of controllable and prescribable resource, and the projection data are representative of needs for a second modality of controllable and prescribable resource different from the first modality.

12. The method of claim 1, wherein the projection data is representative of a trend in utilization of a resource.

13. The method of claim 1, wherein the projection data includes data representative of human resource needs.

14. The method of claim 1, wherein the projection data is representative of needs for the resource based upon patient conditions analyzed based upon data from controllable and prescribable resources.

15. A method for processing medical resource data, the method comprising:

accessing clinical medical data from an integrated knowledge base, the integrated knowledge base including clinical and non-clinical medical data derived from data from a plurality of controllable and prescribable resource types, the accessed data being derived from data from a first type of controllable and prescribable resource;

accessing non-clinical data from the integrated knowledge base representative of available resources needed to provide medical services; and

generating and storing projection data representative of needs for a second type of controllable and prescribable resource different from the first type based upon the clinical data and the non-clinical data.

16. The method of claim 15, wherein the clinical data is representative of a physiological condition of a patient for the medical services.

17. The method of claim 15, wherein the clinical data is representative physiological conditions of a plurality of patients for the medical services.

18. The method of claim 15, wherein the projection data is generated at least partially based upon a computer-assisted data operating algorithm.

19. The method of claim 18, wherein data operating algorithm is selected from a group consisting of computer-assisted detection algorithms, computer-assisted diagnosis algorithms, computer-assisted decision support algorithms, computer-assisted acquisition algorithms, computer-assisted analysis algorithms, computer-assisted processing algorithms, computer-assisted prognosis algorithms, computer-assisted treatment algorithms, computer-assisted prescription algorithms, and computer-assisted assessment algorithms.

20. The method of claim 18, wherein the data operating algorithm performs feature detection on patient data.

21. The method of claim 18, wherein the data operating algorithm performs feature segmentation on patient data.

22. The method of claim 18, wherein the data operating algorithm performs feature classification on patient data.

23. The method of claim 15, wherein the first and second types are selected from a group consisting of electrical resources, imaging resources, laboratory resources, histologic resources, financial resources, and demographic data resources.

24. The method of claim 15, wherein the projection data is representative of a trend in utilization of a resource.

25. The method of claim 15, wherein the projection data includes data representative of human resource needs.

26. A method for processing medical resource data, the method comprising:

accessing clinical medical data from an integrated knowledge base, the integrated knowledge base including clinical and non-clinical medical data derived from data from a plurality of controllable and prescribable resource types, the accessed data being derived from data from a first modality of controllable and prescribable resource;

accessing non-clinical data from the integrated knowledge base representative of available resources needed to provide medical services; and

generating and storing projection data representative of needs for a second modality of controllable and prescribable resource different from the first modality based upon the clinical data and the non-clinical data.

27. The method of claim 26, wherein the clinical data is representative of a physiological condition of a patient for the medical services.

28. The method of claim 26, wherein the clinical data is representative physiological conditions of a plurality of patients for the medical services.

29. The method of claim 26, wherein the projection data is generated at least partially based upon a computer-assisted data operating algorithm.

30. The method of claim 29, wherein data operating algorithm is selected from a group consisting of computer-assisted detection algorithms, computer-assisted diagnosis algorithms, computer-assisted decision support algorithms, computer-assisted acquisition algorithms, computer-assisted analysis algorithms, computer-assisted processing algorithms, computer-assisted prognosis algorithms, computer-assisted treatment algorithms, computer-assisted prescription algorithms, and computer-assisted assessment algorithms.

31. The method of claim 29, wherein the data operating algorithm performs feature detection on patient data.

32. The method of claim 29, wherein the data operating algorithm performs feature segmentation on patient data.

33. The method of claim 29, wherein the data operating algorithm performs feature classification on patient data.

34. The method of claim 26, wherein the first and second modalities include modalities from resource types selected from a group consisting of electrical resources, imaging resources, laboratory resources, histologic resources, financial resources, and demographic data resources.

35. The method of claim 26, wherein the projection data is representative of a trend in utilization of a resource.

36. The method of claim 26, wherein the projection data includes data representative of human resource needs.

37. A method for processing medical resource data, the method comprising:

accessing clinical medical data derived from data from at least one of a plurality of controllable and prescribable resource types;

processing the clinical medical data to identify at least one medical condition across a patient population; and

generating projection data via a computer-assisted data operating algorithm, the projection data being representative of needs for a controllable and prescribable resource.

38. The method of claim 37, comprising the further step of accessing non-clinical data representative of availability of the controllable and prescribable resource, and wherein the projection data is at least partially based upon the non-clinical data.

39. The method of claim 38, wherein non-clinical data is accessed from an integrated knowledge base storing data derived from data from plurality of controllable and prescribable resource types.

40. The method of claim 37, wherein the clinical data is accessed from an integrated knowledge base storing data derived from data from plurality of controllable and prescribable resource types.

41. The method of claim 37, wherein data operating algorithm is selected from a group consisting of computer-assisted detection algorithms, computer-assisted diagnosis algorithms, computer-assisted decision support algorithms, computer-assisted acquisition algorithms, computer-assisted analysis algorithms, computer-assisted processing algorithms, computer-assisted prognosis algorithms, computer-assisted treatment algorithms, computer-assisted prescription algorithms, and computer-assisted assessment algorithms.

42. The method of claim 37, wherein the data operating algorithm performs feature detection on patient data.

43. The method of claim 37, wherein the data operating algorithm performs feature segmentation on patient data.

44. The method of claim 37, wherein the data operating algorithm performs feature classification on patient data.

45. A system for processing medical resource data comprising:

at least one memory device for storing clinical medical data from a plurality of controllable and prescribable resource types and non-clinical data representative of available resources; and

a data processing system configured to access the clinical data and non-clinical data, and to generate and store projection data representative of needs for a controllable and prescribable resource based upon the clinical data and the non-clinical data.

46. The system of claim 45, wherein the at least one memory device comprises an integrated knowledge base.

47. The system of claim 45, wherein the clinical data are representative collective physiological conditions of a plurality of patients.

48. The system of claim 45, wherein the projection data is generated at least partially based upon a computer-assisted diagnosis algorithm.

49. The system of claim 45, wherein the projection data is generated at least partially based upon a computer-assisted acquisition algorithm.

50. The system of claim 45, wherein the projection data is generated at least partially based upon a computer-assisted processing algorithm.

51. A system for processing medical resource data comprising:

an integrated knowledge base configured to store clinical and non-clinical medical data derived from data from a plurality of controllable and prescribable resource types, the clinical medical data being derived from data from a first type of controllable and prescribable resource; and

a data processing system configured to access non-clinical data from the integrated knowledge base representative of available resources needed to provide medical services and to generate and store projection data representative of needs for a second type of controllable and prescribable resource different from the first type based upon the clinical data and the non-clinical data.

52. A system for processing medical resource data, the method comprising:

at least one memory device for storing an integrated knowledge base, the integrated knowledge base including clinical and non-clinical medical data derived from data from a plurality of controllable and prescribable resource types, the accessed data being derived from data from a first modality of controllable and prescribable resource; and

a data processing system configured to access clinical and non-clinical data from the integrated knowledge base including data from a first modality of controllable and prescribable resource, and to generate projection data representative of needs for a second modality of controllable and prescribable resource different from the first modality based upon the clinical data and the non-clinical data.

53. A system for processing medical resource data, the method comprising:

at least one memory device for storing an integrated knowledge base, the integrated knowledge base including clinical and non-clinical medical data derived from data from a plurality of controllable and prescribable resource types, the accessed data being derived from data from a first modality of controllable and prescribable resource; and

a data processing system configured to access clinical medical data derived from data from at least one of a plurality of controllable and prescribable resource types, to process the clinical medical data to identify at least one medical condition across a patient population, and to generate projection data via a computer-assisted data operating algorithm, the projection data being representative of needs for a controllable and prescribable resource.

54. A system for processing medical resource data comprising:

means for accessing clinical medical data from an integrated knowledge base, the integrated knowledge base including clinical and non-clinical medical data derived from data from a plurality of controllable and prescribable resource types;

means for accessing non-clinical data from the integrated knowledge base representative of available resources needed to provide medical services; and

means for generating and storing projection data representative of needs for a resource based upon the clinical data and the non-clinical data.

55. A system for processing medical resource data comprising:

means for accessing clinical medical data from an integrated knowledge base, the integrated knowledge base including clinical and non-clinical medical data derived from data from a plurality of controllable and prescribable resource types, the accessed data being derived from data from a first type of controllable and prescribable resource;

means for accessing non-clinical data from the integrated knowledge base representative of available resources needed to provide medical services; and

means for generating and storing projection data representative of needs for a second type of controllable and prescribable resource different from the first type based upon the clinical data and the non-clinical data.

56. A system for processing medical resource data comprising:

means for accessing clinical medical data from an integrated knowledge base, the integrated knowledge base including clinical and non-clinical medical data derived from data from a plurality of controllable and prescribable resource types, the accessed data being derived from data from a first modality of controllable and prescribable resource;

means for accessing non-clinical data from the integrated knowledge base representative of available resources needed to provide medical services; and

means for generating and storing projection data representative of needs for a second modality of controllable and prescribable resource different from the first modality based upon the clinical data and the non-clinical data.

57. A system for processing medical resource data comprising:

means for accessing clinical medical data derived from data from at least one of a plurality of controllable and prescribable resource types;

means for processing the clinical medical data to identify at least one medical condition across a patient population; and

means for generating projection data via a computer-assisted data operating algorithm, the projection data being representative of needs for a controllable and prescribable resource.

58. A computer executable program comprising:

at least one machine readable medium;

computer code stored on the at least one machine readable medium comprising instructions for accessing clinical medical data from an integrated knowledge base, the integrated knowledge base including clinical and non-clinical medical data derived from data from a plurality of controllable and prescribable resource types, accessing non-clinical data from the integrated knowledge base representative of available resources needed to provide medical services, and generating and storing projection data representative of needs for a resource based upon the clinical data and the non-clinical data.

59. A computer executable program comprising:

at least one machine readable medium;

computer code stored on the at least one machine readable medium comprising instructions for accessing clinical medical data from an integrated knowledge base, the integrated knowledge base including clinical and non-clinical medical data derived from data from a plurality of controllable and prescribable resource types, the accessed data being derived from data from a first type of controllable and prescribable resource, accessing non-clinical data from the integrated knowledge base representative of available resources needed to provide medical services, and generating and storing projection data representative of needs for a second type of controllable and prescribable resource different from the first type based upon the clinical data and the non-clinical data.

60. A computer executable program comprising:

at least one machine readable medium;

computer code stored on the at least one machine readable medium comprising instructions for accessing clinical medical data from an integrated knowledge base, the integrated knowledge base including clinical and non-clinical medical data derived from data from a plurality of controllable and prescribable resource types, the accessed data being derived from data from a first modality of controllable and prescribable resource, accessing non-clinical data from the integrated knowledge base representative of available resources needed to provide medical services, and generating and storing projection data representative of needs for a second modality of controllable and prescribable resource different from the first modality based upon the clinical data and the non-clinical data.

61. A computer executable program comprising:

at least one machine readable medium;

computer code stored on the at least one machine readable medium comprising instructions for accessing clinical medical data derived from data from at least one of a plurality of controllable and prescribable resource types, processing the clinical medical data to identify at least one medical condition across a patient population, and generating projection data via a computer-assisted data operating algorithm, the projection data being representative of needs for a controllable and prescribable resource.