Multi-dimensional analysis of medical data

• US 20060136259A1
• Filed: 12/17/2004
• Published: 06/22/2006
• Est. Priority Date: 12/17/2004
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Avinash, Gopal B., Weiner, Allison Leigh
• Application Number:
  US11/015,526
• Publication Number:
  US 20060136259A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A technique is disclosed for identifying medical data entities and for analyzing them for classification in accordance with a defined domain definition. The domain definition may be user-defined and may include a plurality of logical associations by which the data entities are classified. A one-to-many classification of the entities facilitates complex analysis of the data. The data entities may be analyzed to recognize relationships between them for rendering patient care, identifying health conditions in populations, and so forth.

Claims

1. A computer-implemented method for analyzing medical data comprising:

accessing data entities classified based upon a data domain definition including a plurality of classification axes and a plurality of classification labels for each axis, and upon corresponding attributes of the data entities; and

analyzing the data entities to determine a relationship between the data entities for use in a health care decision.

2. The method of claim 1, wherein the decision includes a diagnosis, recommended course medical care for an individual patient.

3. The method of claim 1, wherein the relationship includes a health condition in a population.

4. The method of claim 1, wherein analyzing the data entities includes applying computer-aided diagnosis algorithm configured to recognize a feature of interest in a data entity related to a health condition of a patient.

5. The method of claim 1, wherein analyzing the data entities includes applying computer-aided data acquisition algorithm or a computer-aided data processing algorithm configured to acquire additional data or process data to permit recognition a feature of interest in a data entity related to a health condition of a patient.

6. The method of claim 1, wherein the data entities include electronic patent records.

7. The method of claim 1, wherein at least one of the axes, labels or attributes includes a genetic indicator of a health condition.

8. The method of claim 1, wherein at least one of the axes, labels or attributes includes a health condition and a symptom of the condition.

9. The method of claim 1, wherein the attributes include at least two different types of attributes selected from a group consisting of text attributes, image attributes, audio attributes, video attributes, and waveform attributes.

10. The method of claim 9, comprising searching for a data entity by reference to a text attribute and returning an image data entity in response to the search.

11. The method of claim 1, wherein at least data representative of classification of the data entities is stored in an integrated knowledge base.

12. The method of claim 1, wherein the health care decision altering a parameter of acquisition, processing, reconstruction, analysis, display or retrieval of medical image data.

13. The method of claim 1, wherein the data entities are classified from a plurality of data resources and a plurality of controllable and prescribable resources.

14. The method of claim 1, wherein the data entities include medical image data acquired via at least one imaging modality including X-ray systems, MRI systems, ultrasound systems, PET systems, and CT systems.

15. The method of claim 1, further comprising presenting a graphical representation of the analysis.

16. A computer-implemented method for analyzing medical data comprising:

accessing data entities classified based upon a data domain definition including a plurality of classification axes and a plurality of classification labels for each axis, and upon corresponding attributes of the data entities, the data entities being classified from a plurality of data resources and a plurality of controllable and prescribable resources;

analyzing the data entities to determine a relationship between the data entities; and

making a health care recommendation based upon the analysis.

17. The method of claim 16, wherein the controllable and prescribable resources include medical image resources including X-ray systems, MRI systems, ultrasound systems, PET systems, and CT systems.

18. The method of claim 16, wherein the controllable and prescribable resources include at least electrical resources, imaging resources, laboratory resources, histologic resources, financial resources, and demographic data resources.

19. The method of claim 16, wherein the controllable and prescribable resources include clinical examination resources for acquiring patient data from patient tissues.

20. The method of claim 16, wherein the recommendation includes a diagnosis or course medical care for an individual patient.

21. The method of claim 16, wherein the relationship includes a health condition in a population.

22. A computer program for analyzing medical data comprising:

at least one machine readable medium; and

computer code stored on the at least one machine readable medium including code for accessing data entities classified based upon a data domain definition including a plurality of classification axes and a plurality of classification labels for each axis, and upon corresponding attributes of the data entities, and analyzing the data entities to determine a relationship between the data entities for use in a health care decision.

23. The computer program of claim 22, wherein the code for analyzing the data entities includes a computer-aided diagnosis algorithm configured to recognize a feature of interest in a data entity related to a health condition of a patient.