Medical data analysis method and apparatus incorporating in vitro test data

• US 20040122708A1
• 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:
  US10/323,260
• Publication Number:
  US 20040122708A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 70/00 ICT specially adapted for the handling or processing of medical references
• 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

Techniques are provided for processing in vitro test sample data. The in vitro test sample data is accessed and additional data may be accessed, such as from an integrated knowledge base, from a plurality of controllable and prescribable data resources. Analysis of the data is performed, such as via an automated computer-assisted data operating algorithm to identify features of interest available or possibly available from the in vitro test data. Processes are performed, either on the data or upon an in vitro sample based upon the analysis. Results of the processing may include acquisition of additional test samples, modification of processing of test samples or of sample data, and so forth.

Claims

1. A computer-assisted method comprising:

accessing data from at least one of a plurality of controllable and prescribable data resources;

analyzing the accessed data to identify a feature of interest potentially available from an in vitro test sample via a computer-assisted data operating algorithm; and

recommending in vitro data acquisition based upon the analysis.

2. The method of claim 1, wherein the data accessed and analyzed is in vitro data.

3. The method of claim 1, comprising accessing additional data from the data resources, analyzing the additional data to identify a potential additional feature in the test sample via a computer-assisted data operating algorithm, and modifying in vitro acquisition based upon the analysis of the additional data.

4. The method of claim 1, comprising automatically performing the recommended data acquisition based upon the analysis.

5. The method of claim 1, wherein the feature of interest includes a biomarker for a medical condition.

6. The method of claim 1, wherein the controllable and prescribable resources are selected from the group consisting of electrical resources, imaging resources, laboratory resources, histologic resources, financial resources, and demographic data resources.

7. The method of claim 6, wherein the accessed data includes data from at least two different types of the resources.

8. The method of claim 1, wherein the accessed data is specific to a patient 5 from which the in vitro sample originates.

9. The method of claim 1, wherein the data includes data generated at different times for a single patient of interest.

10. The method of claim 1, wherein the data includes medical data for a population of subjects.

11. The method of claim 1, wherein the data is accessed from an integrated knowledge base including data derived from the plurality of controllable and prescribable data resources.

12. The method of claim 1, 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.

13. The method of claim 1, wherein the recommendation includes a specific tissue or fluid to be used for the in vitro sample.

14. The method of claim 1, wherein the recommendation includes a specific protocol to be used for the in vitro sample.

15. The method of claim 1, wherein the recommendation includes testing for a biomarker of interest.

16. A computer-assisted method comprising:

accessing data from at least one of a plurality of controllable and prescribable data resources;

analyzing the accessed data via a computer-assisted data operating algorithm to identify a feature of interest potentially available from data from an in vitro test sample; and

performing a data operation on the in vitro data based upon the analysis.

17. The method of claim 16, wherein the data accessed and analyzed is in vitro data.

18. The method of claim 16, comprising accessing additional data from the data resources, analyzing the additional data to identify a potential additional feature in the test sample data via a computer-assisted data operating algorithm, and modifying the data operation based upon the analysis of the additional data.

19. The method of claim 16, wherein the at least one feature of interest includes a biomarker for a medical condition.

20. The method of claim 16, wherein the data operation performed on the in vitro test data includes comparing the in vitro test data to a multi-parameter profile for at least one known medical condition.

21. The method of claim 20, wherein the multi-parameter profile includes data derived from a patient from which the in vitro test sample originates.

22. The method of claim 20, wherein the multi-parameter profile includes data derived from a population of subjects.

23. The method of claim 16, wherein the data operation performed on the in vitro test data includes non-parametric analysis of the test data.

24. The method of claim 16, wherein the accessed data includes data generated at different times for a single patient of interest.

25. The method of claim 16, wherein the controllable and prescribable resources are selected from the group consisting of electrical resources, imaging resources, laboratory resources, histologic resources, financial resources, and demographic data resources.

26. The method of claim 16, wherein the accessed data is accessed from an integrated knowledge base including data derived from the plurality of controllable and prescribable data resources.

27. A computer-assisted method comprising:

accessing in vitro test data;

accessing data including a predetermined profile for at least one known medical condition;

comparing the in vitro test data to the accessed data via a computer-assisted data operating algorithm; and

performing a subsequent data operation based upon the comparison.

28. The method of claim 27, wherein the subsequent operation includes acquisition of an in vitro test sample, processing of an in vitro test sample or processing of data derived from the in vitro test sample based upon the comparison.

29. The method of claim 27, wherein the subsequent operation includes accessing additional data from an integrated knowledge base.

30. The method of claim 27, wherein the subsequent operation includes classification of a feature of interest.

31. The method of claim 27, wherein the subsequent operation includes display at least one of the test data, additional data accessed from a knowledge base, results of the comparison and profile.

32. The method of claim 27, wherein the profile includes a multi-parameter profile derived from a patient from which the in vitro test sample originates.

33. The method of claim 27, wherein the profile includes a multi-parameter profile derived from a population of subjects.

34. The method of claim 27, wherein the profile includes a non-parametric profile.

35. The method of claim 27, wherein the accessed data is derived from data from at least one of a plurality of controllable and prescribable data resources.

36. The method of claim 35, wherein the controllable and prescribable resources are selected from the group consisting of electrical resources, imaging resources, laboratory resources, histologic resources, financial resources, and demographic data resources.

37. The method of claim 27, wherein the accessed data is accessed from an integrated knowledge base including data derived from the plurality of controllable and prescribable data resources.

38. The method of claim 27, wherein processing of the in vitro test sample or processing of data derived from the in vitro test sample is modified to identify at least one feature of interest of an in vitro test sample.

39. The method of claim 38, wherein the at least one feature of interest includes a biomarker for a medical condition.

40. A computer-assisted method comprising:

accessing in vitro test data;

accessing data from an integrated knowledge base including data derived from the plurality of controllable and prescribable data resources;

analyzing the in vitro test data and the accessed data via a computer-assisted data operating algorithm to identify at least one feature of interest of the in vitro test sample; and

modifying acquisition of an in vitro test sample, processing of an in vitro test sample or processing of data derived from the in vitro test sample based upon the comparison.

41. The method of claim 40, wherein the controllable and prescribable resources are selected from the group consisting of electrical resources, imaging resources, laboratory resources, histologic resources, financial resources, and demographic data resources.

42. The method of claim 40, wherein acquisition of the in vitro test sample, processing of the in vitro test sample or processing of data derived from the in vitro test sample is modified to identify at least one feature of interest of an in vitro test sample.

43. The method of claim 40, wherein the at least one feature of interest includes a biomarker for a medical condition.

44. The method of claim 40, wherein analyzing the in vitro test data and the accessed data includes comparing the in vitro test data to a multi-parameter profile for at least one known medical condition.

45. The method of claim 44, wherein the multi-parameter profile includes data derived from data acquired from a patient from which the in vitro test sample originated.

46. The method of claim 44, wherein the multi-parameter profile includes data derived from a population of subjects.

47. A computer-assisted method comprising:

accessing first data from an in vitro test;

analyzing the first data via a computer-assisted data operating algorithm to identify a feature of interest from the first data; and

based upon the analysis, accessing second data representative of features similar to the identified feature from an integrated knowledge base, the integrated knowledge base including data derived from a plurality of controllable and prescribable resources.

48. The method of claim 47, wherein the second data is selected based upon a similarity criterion.

49. The method of claim 47, further comprising displaying results of the analysis for a human operator.

50. The method of claim 47, further comprising displaying at least a portion of the second data for a human operator.

51. The method of claim 47, 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.

52. The method of claim 47, wherein the controllable and prescribable resources are selected from the group consisting of electrical resources, imaging. resources, laboratory resources, histologic resources, financial resources, and demographic data resources.

53. The method of claim 47, wherein the at least one feature of interest includes a biomarker for a medical condition.

54. The method of claim 47, wherein the second data is derived from data acquired from a patient for which the in vitro test was performed.

55. The method of claim 47, wherein the second data is derived from a population of subjects.

56. A system for processing medical data comprising:

means for accessing data from at least one of a plurality of controllable and prescribable data resources;

means for analyzing the accessed data to identify a feature of interest potentially available from an in vitro test sample via a computer-assisted data operating algorithm; and

means for recommending in vitro data acquisition based upon the analysis.

57. A system for processing medical data comprising:

means for accessing data from at least one of a plurality of controllable and prescribable data resources;

means for analyzing the accessed data via a computer-assisted data operating algorithm to identify a feature of interest potentially available from data from an in vitro test sample; and

means for performing a data operation on the in vitro data based upon the analysis.

58. A system for processing medical data comprising:

means for accessing in vitro test data;

means for accessing data including a predetermined profile for at least one known medical condition;

means for comparing the in vitro test data to the accessed data via a computer-assisted data operating algorithm; and

means for performing a subsequent data operation based upon the comparison.

59. A system for processing medical data comprising:

means for accessing in vitro test data;

means for accessing data from an integrated knowledge base including data derived from the plurality of controllable and prescribable data resources;

means for analyzing the in vitro test data and the accessed data via a computer-assisted data operating algorithm to identify at least one feature of interest of the in vitro test sample; and

means for modifying acquisition of an in vitro test sample, processing of an in vitro test sample or processing of data derived from the in vitro test sample based upon the comparison.

60. A system for processing medical data comprising:

means for accessing first data from an in vitro test;

means for analyzing the first data via a computer-assisted data operating algorithm to identify a feature of interest from the first data; and

means for based upon the analysis, accessing second data representative of features similar to the identified feature from an integrated knowledge base, the integrated knowledge base including data derived from a plurality of controllable and prescribable resources.

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 data from at least one of a plurality of controllable and prescribable data resources, analyzing the accessed data to identify a feature of interest potentially available from an in vitro test sample via a computer-assisted data operating algorithm, and recommending in vitro data acquisition based upon the analysis.

62. 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 data from at least one of a plurality of controllable and prescribable data resources, analyzing the accessed data via a computer-assisted data operating algorithm to identify a feature of interest potentially available from data from an in vitro test sample, and performing a data operation on the in vitro data based upon the analysis.

63. 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 in vitro test data, accessing data including a predetermined profile for at least one known medical condition, comparing the in vitro test data to the accessed data via a computer-assisted data operating algorithm, and performing a subsequent data operation based upon the comparison.

64. 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 in vitro test data, accessing data from an integrated knowledge base including data derived from the plurality of controllable and prescribable data resources, analyzing the in vitro test data and the accessed data via a computer-assisted data operating algorithm to identify at least one feature of interest of the in vitro test sample, and modifying acquisition of an in vitro test sample, processing of an in vitro test sample or processing of data derived from the in vitro test sample based upon the comparison.

65. 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 first data from an in vitro test, analyzing the first data via a computer-assisted data, operating algorithm to identify a feature of interest from the first data, and based upon the analysis, accessing second data representative of features similar to the identified feature from an integrated knowledge base, the integrated knowledge base including data derived from a plurality of controllable and prescribable resources.