DATA RELEVATION AND PATTERN OR EVENT RECOGNITION

• US 20100274573A1
• Filed: 03/08/2007
• Published: 10/28/2010
• Est. Priority Date: 03/09/2006
• Status: Abandoned Application

• Current Assignee: Microsoft Corporation
• Original Assignee: Microsoft Corporation
• Inventors: Feied, Craig Frederick, Iskandar, Fidrick
• Application Number:
  US11/683,814
• Publication Number:
  US 20100274573A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

An adaptable data management system that can address situations and/or scenarios ‘on-the-fly’ is provided. The innovation discloses a system that is not bound by intended content and therefore, allows associations (e.g., patterns, trends) and functionalities (e.g., notifications) to be expressed very rapidly (e.g., in real-time) to address health-related scenarios (e.g., bioterrorism). Accordingly, the system can autonomously decide what information to aggregate, how to receive the information, where to access the information, how to analyze the information, and what to do with the information.

Claims

1. A system that facilitates data management, comprising:

a data collection layer that monitors a plurality of sources and dynamically determines relationships and retrieves a plurality of health-related data elements from a subset of the sources as a function of the relationships, wherein at least two of the plurality of health-related data elements have disparate formats; and

a data presentation layer that facilitates render of a subset of the health-related data elements.

2. The system of claim 1, wherein the data collection layer automatically identifies one of a pattern or a trend in data elements of the plurality of sources and retrieves the plurality of health-related data elements as a function of the pattern or the trend.

3. The system of claim 2, wherein the pattern or trend is related to a health threat and the data presentation layer facilitates notification to an appropriate party based upon the health-related threat.

4. The system of claim 2, the pattern or the trend is at least one of temporal, geospatial or multi-dimensional.

5. The system of claim 1, further comprising a data transformation layer that transforms the health-related data elements to a core element and a metadata element, wherein the metadata element is employed to discern the relationships.

6. The system of claim 1, a subset of the sources are electronic and a subset of the sources are non-electronic sources.

7. The system of claim 1, further comprising a source data extractor that monitors the plurality of sources in real-time and obtains the plurality of health-related data elements.

8. The system of claim 7, further comprising a source multi-protocol transfer agent that receives and transmits the subset of health-related data elements to a plurality of receivers.

9. The system of claim 8, at least one of the plurality of receivers is a core multi-protocol transfer agent that authenticates the received subset of health-related data elements, tags the subset of health-related data elements with metadata and places the subset of health-related data elements into a storage location for subsequent rendering.

10. The system of claim 9, the storage location is a message queue that maintains health-related data element of disparate formats or structures.

11. The system of claim 10, further comprising a data transformation engine that reads the subset of health-related data elements from the message queue and applies a transformation to generate metadata that is stored in at least one table.

12. The system of claim 11, further comprising a baseview constructor that applies a late binding mechanism to establish a cohort of the subset of health-related data elements.

13. The system of claim 12, further comprising a user view that renders the cohort of the subset of health-related data elements to one of a user and a component.

14. The system of claim 1, further comprising an artificial intelligence (AI) 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 data management, comprising:

monitoring a plurality of sources having a plurality of health-related data elements of different formats;

extracting a subset of the health-related data elements as a function of a pattern;

transforming each of the subset into a core element and a metadata element;

storing the core element and the metadata element;

establishing a cohort of the subset of health-related data elements based upon associations as a function of the metadata elements; and

rendering the cohort of the subset of health-related data elements.

16. The computer-implemented method of claim 15, further comprising authenticating each of the subset of the health-related data elements as a function of an origin of each of the subset of the health-related data elements.

17. The computer-implemented method of claim 15, further comprising tagging each of the subset of the health-related data elements, wherein the tags are employed to establish the cohort.

18. The computer-implemented method of claim 15, wherein the act of rendering includes triggering an action.

19. A computer-executable system that facilitates management of data, comprising:

means for monitoring a plurality of sources in real-time;

means for extracting a plurality of health-related data elements in real-time from a subset of the plurality of sources;

means for authenticating each of the plurality of health-related data elements;

means for buffering each of the authenticated health-related data elements;

means for transforming each of the authenticated health-related data elements into core data elements and metadata elements;

means for inserting the core data elements and the metadata elements into a plurality of tables;

means for selecting a cohort of the core data elements and the metadata elements from a subset of the tables; and

means for rendering the cohort.

20. The computer-executable system of claim 19, further comprising means for triggering an action as a function of the cohort.