MASTER PATIENT INDEX

• US 20070260492A1
• Filed: 03/08/2007
• Published: 11/08/2007
• Est. Priority Date: 03/09/2006
• Status: Abandoned Application

• Current Assignee: Microsoft Corporation
• Original Assignee: Microsoft Corporation
• Inventors: Iskandar, Fidrik, Feied, Craig
• Application Number:
  US11/683,799
• Publication Number:
  US 20070260492A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A system and/or method that can maintain a master patient index in a health care context is disclosed. The index enables a health-care professional or entity to collect, access and/or retrieve a cohort of health-related data elements (e.g., patient information) from a variety of sources and of differing formats. The cohort of data elements can be displayed such that a health care entity can easily toggle through the patient-related data without a need to access format-specific applications.

Claims

1. A system that facilitates cross-relating health-related data, comprising:

an interface that establishes a gateway to a health-related data network that includes a plurality of health-related data elements of disparate formats; and

a data management component that employs the interface to collect or access a cohort of the plurality of data elements maintained within the health-related data network.

2. The system of claim 1, the disparate formats are at least two of text documents, medical imaging documents, electrocardiograms, lab result documents, patient photographs, patient biographical information, audio files, dictation files or scanned images of patient charts.

3. The system of claim 1, further comprising a data collection component that facilitates identification of the cohort of the plurality of data elements as a function of a similarity score applied to each of the plurality of data elements.

4. The system of claim 3, further comprising a data mining engine component that identifies relationships between the plurality of data elements and establishes the cohort of the plurality of data elements as a function of the relationships.

5. The system of claim 3, further comprising a collection policy component that includes a rule based upon a user preference, wherein the data collection component employs the rule to identify the cohort of the plurality of data elements.

6. The system of claim 1, further comprising an analysis component that establishes an index which interrelates the cohort of the plurality of data elements, wherein the data management component employs the index to collect or access the cohort of the plurality of data elements.

7. The system of claim 6, further comprising a scoring component that establishes a similarity score associated with each of the plurality of data elements as a function of other of the plurality of data elements, the index component employs the similarity score to establish the index.

8. The system of claim 7, further comprising a content analysis component that establishes criteria based upon content of each of the plurality of data elements, wherein the scoring component employs the criteria to establish the similarity score.

9. The system of claim 8, wherein the content analysis component employs at least one of keyword recognition, pattern recognition, speech recognition or optical character recognition to establish the criteria.

10. The system of claim 1, further comprising a data rendering component that facilitates rendering the cohort of the plurality of data elements to at least one of a display and an application.

11. The system of claim 10, further comprising a data configuration component that automatically configures each of the cohort of the plurality of data elements based upon the at least one of the display or the application.

12. The system of claim 10, further comprising a filtering component that filters the cohort of the plurality of data elements prior to rendering.

13. The system of claim 10, further comprising a rendering policy component that includes a rule that regulates the rendering of the cohort of the plurality of data elements.

14. The system of claim 1, further comprising a machine learning and reasoning component that employs at least one of a probabilistic and a statistical-based analysis that infers an action that a user desires to be automatically performed.

15. A computer-implemented method of rendering a cohort of health-related data elements having differing formats, comprising:

accessing a plurality of health-related data elements;

applying a similarity score to each of the plurality of data elements;

identifying the cohort of health-related data elements from the plurality of data elements as a function of the similarity score; and

rendering the cohort of health-related data elements to at least one of a display or an application.

16. The computer-implemented method of claim 15, further comprising establishing an index as a function of the similarity score, wherein the index is employed in the act of identifying the cohort.

17. The computer-implemented method of claim 15, further comprising:

establishing search criteria, wherein the search criteria is employed in the act of identifying the cohort of health-related data elements.

18. A computer-implemented system that facilitates identifying a cohort of medical data elements, comprising:

means for accessing a plurality of medical data elements of different formats;

means for analyzing each of the plurality of medical data elements;

means for interrelating the plurality of medical data elements as a function of the analysis;

means for establishing the cohort of medical data elements as a function of the interrelation.

19. The computer-implemented system of claim 18, further comprising means for rendering the cohort of medical data elements.

20. The computer-implemented system of claim 18, further comprising:

means for displaying the cohort of medical data elements; and

means for navigating to each of the cohort of medical data elements via a unified user interface.