METHOD AND SYSTEM FOR PERFORMING CLINICAL DATA MINING

• US 20110093293A1
• Filed: 06/14/2010
• Published: 04/21/2011
• Est. Priority Date: 10/16/2009
• Status: Abandoned Application

• Current Assignee: Infosys Limited
• Original Assignee: Infosys Technologies Limited (Infosys Limited)
• Inventors: Sureka, Ashish, G. N., Harikrishna Rai, Deepak, K. Sai, Thangam, Sivaram V., Mirajkar, Pranav Prabhakar
• Application Number:
  US12/814,564
• Publication Number:
  US 20110093293A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/60 relating to pathologies
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

The invention provides a method and clinical data mining system for enabling a user to derive knowledge from data corresponding to a plurality of electronic health records stored in a repository. One or more data elements are provided as an input. The data elements may include textual reports, images, and one or more criteria specified by the user. Information is extracted from one or more images associated with one or more electronic health records stored in the repository, based on the data elements. Further, information is extracted from one or more textual reports and structured data associated with the one or more electronic health records. Thereafter, one or more reports are generated based on the extracted information to enable the user to analyze the information. Subsequently, the user may derive knowledge from the data based on the analysis.

Claims

1. A clinical data mining system for enabling a user to derive knowledge from data corresponding to a plurality of electronic health records stored in a repository, the system suitable for use in a healthcare environment, the system comprising:

a. an image mining module configured for extracting information from one or more images associated with one or more electronic health records from the plurality of electronic health records, the information being extracted based on one or more data elements provided as an input;

b. a text mining module configured for extracting information from one or more textual reports associated with the one or more electronic health records, the information being extracted based on the one or more data elements;

c. a data mining module configured for extracting information from structured data associated with the one or more electronic health records; and

d. a knowledge generation module configured for generating one or more reports based on the extracted information, the one or more reports being generated for enabling the user to analyze the information, wherein knowledge is derived based on the analysis.

2. The clinical data mining system according to claim 1, wherein the image mining module comprises an image search module configured for identifying the one or more images from a plurality of images stored in the repository, the one or more images being identified based on the one or more data elements and at least one of metadata and one or more features corresponding to the one or more images.

3. The clinical data mining system according to claim 2, wherein the image search module uses one or more image processing techniques for identifying the one or more images.

4. The clinical data mining system according to claim 2, wherein at least one data element from the one or more data elements is an image.

5. The clinical data mining system according to claim 4 further comprising a feature extraction module configured for extracting a plurality of features from the plurality of images.

6. The clinical data mining system according to claim 5 further comprising a feature comparison module configured for comparing the plurality of features with features of the at least one data element, wherein the image search module identifies the one or more images based on the comparison.

7. The clinical data mining system according to claim 6, wherein the feature comparison module is further configured for assigning one or more scores to the one or more images based on the comparison.

8. The clinical data mining system according to claim 7 further comprising a relevance feedback module for enabling the user to provide a feedback on the assigned scores.

9. The clinical data mining system according to claim 5, wherein the feature extraction module is further configured for storing the plurality of features in the repository.

10. The clinical data mining system according to claim 4, wherein the image mining module is further configured for enabling the user to specify one or more regions in the at least one data element, the one or more images being identified based on the one or more regions.

11. The clinical data mining system according to claim 1 further comprising a data classification module configured for classifying the data based on a set of preferences, wherein the information is extracted based on the classification.

12. The clinical data mining system according to claim 1 further comprising a data export module configured for exporting a first set of data from the repository to an external storage device.

13. The clinical data mining system according to claim 1 further comprising a data import module configured for importing a second set of data into the repository.

14. The clinical data mining system according to claim 1, wherein the derived knowledge is stored in the repository.

15. The clinical data mining system according to claim 1, wherein the one or more images and the one or more textual reports are indexed with features of the one or more data elements.

16. The clinical data mining system according to claim 1, wherein a workflow manager interacts with the clinical data mining system for performing one or more specific data mining tasks, the workflow manager enabling the user to create one or more workflows for performing the one or more specific data mining tasks.

17. A method for performing clinical data mining to enable a user to derive knowledge from data corresponding to a plurality of electronic health records stored in a repository, the method suitable for use in a healthcare environment, the method comprising:

a. extracting information from one or more images associated with one or more electronic health records from the plurality of electronic health records, the information being extracted based on one or more data elements provided as an input;

b. extracting information from one or more textual reports associated with the one or more electronic health records, the information being extracted based on the one or more data elements;

c. extracting information from structured data associated with the one or more electronic health records; and

d. generating one or more reports based on the extracted information, the one or more reports being generated for enabling the user to analyze the information, wherein knowledge is derived based on the analysis.

18. The method according to claim 17, wherein the one or more images are identified from a plurality of images stored in the repository, the one or more images being identified based on the one or more data elements and at least one of metadata and one or more features corresponding to the one or more images.

19. The method according to claim 18, wherein the one or more images are identified using one or more image processing techniques.

20. The method according to claim 18, wherein at least one data element from the one or more data elements is an image.

21. The method according to claim 20 further comprising extracting a plurality of features from the plurality of images.

22. The method according to claim 21 further comprising comparing the plurality of features with features of the at least one data element for identifying the one or more images.

23. The method according to claim 22 further comprising assigning one or more scores to the one or more images based on the comparison.

24. The method according to claim 23 further comprising enabling the user to provide a feedback on the assigned scores.

25. The method according to claim 21 further comprising storing the plurality of features in the repository.

26. The method according to claim 20 further comprising enabling the user to specify one or more regions in the at least one data element, the one or more images being identified based on the one or more regions.

27. The method according to claim 17 further comprising classifying the data based on a set of preferences, wherein the information is extracted based on the classification.

28. The method according to claim 17 further comprising exporting a first set of data from the repository to an external storage device.

29. The method according to claim 17 further comprising importing a second set of data into the repository.

30. The method according to claim 17, wherein the derived knowledge is stored in the repository.

31. The method according to claim 17 further comprising indexing the one or more images and the one or more textual reports with features of the one or more data elements.

32. The method according to claim 17, wherein one or more workflows are created for performing one or more specific data mining tasks.

33. A computer program product for use with a computer, the computer program product comprising a computer usable medium having a computer readable program code embodied therein for performing clinical data mining to enable a user to derive knowledge from data corresponding to a plurality of electronic health records stored in a repository, the computer program product suitable for use in a healthcare environment, the computer readable program code performing:

a. extracting information from one or more images associated with one or more electronic health records from the plurality of electronic health records, the information being extracted based on one or more data elements provided as an input;

b. extracting information from one or more textual reports associated with the one or more electronic health records, the information being extracted based on the one or more data elements;

c. extracting information from structured data associated with the one or more electronic health records; and

d. generating one or more reports based on the extracted information, the one or more reports being generated for enabling the user to analyze the information, wherein knowledge is derived based on the analysis.

34. The computer program product according to claim 33, wherein the one or more images are identified from a plurality of images stored in the repository, the one or more images being identified based on the one or more data elements and at least one of metadata and one or more features corresponding to the one or more images.

35. The computer program product according to claim 34, wherein at least one data element from the one or more data elements is an image.

36. The computer program product according to claim 35, wherein the computer readable program code further performs extracting a plurality of features from the plurality of images.

37. The computer program product according to claim 36, wherein the computer readable program code further performs comparing the plurality of features with features of the at least one data element for identifying the one or more images.

38. The computer program product according to claim 37, wherein the computer readable program code further performs assigning one or more scores to the one or more images based on the comparison.

39. The computer program product according to claim 38, wherein the computer readable program code further performs enabling the user to provide a feedback on the assigned scores.

40. The computer program product according to claim 36, wherein the computer readable program code further performs storing the plurality of features in the repository.

41. The computer program product according to claim 35, wherein the computer readable program code further performs enabling the user to specify one or more regions in the at least one data element, the one or more images being identified based on the one or more regions.

42. The computer program product according to claim 33, wherein the computer readable program code further performs classifying the data based on a set of preferences, information being extracted based on the classification.

43. The computer program product according to claim 33, wherein the computer readable program code further performs exporting a first set of data from the repository to an external storage device.

44. The computer program product according to claim 33, wherein the computer readable program code further performs importing a second set of data into the repository.

45. The computer program product according to claim 33, wherein the computer readable program code further performs indexing the one or more images and the one or more textual reports with features of the one or more data elements.

46. The computer program product according to claim 33, wherein the computer readable program code further performs enabling the user to create one or more workflows for performing one or more specific data mining tasks.