System and method of extracting knowledge from documents

• US 20070055670A1
• Filed: 09/02/2005
• Published: 03/08/2007
• Est. Priority Date: 09/02/2005
• Status: Abandoned Application

• Current Assignee: Finetooth Enterprises, Inc.
• Original Assignee: Finetooth Enterprises, Inc.
• Inventors: Lagarde, James, Liu, Zhongjian, Alletto, Michael, Currie, Anne-Marie, Diedrick, Scott, Maycotte, Higinio
• Application Number:
  US11/218,935
• Publication Number:
  US 20070055670A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/353 into predefined classes
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records

Abstract

A method of managing documents is provided and includes receiving a plurality of documents, normalizing each of the plurality of documents, and categorizing each of the plurality of documents to identify a document type. Further, the method includes selecting at least one automated text-based document analyst from a library system based on the document type.

Claims

1. A method of managing documents, the method comprising:

receiving a plurality of documents;

normalizing each of the plurality of documents;

categorizing each of the plurality of documents to identify a document type; and

based on the document type, selecting at least one automated text-based document analyst from a library system.

2. The method of claim 1, wherein the library system includes at least a first automated text-based document analyst associated with a first document type and at least a second automated text-based document analyst associated with a second document type.

3. The method of claim 1, further comprising extracting data and associated fields from each of the plurality of documents using the selected automated text-based document analyst.

4. The method of claim 3, further comprising creating a knowledge bundle from the data and associated fields.

5. The method of claim 4, further comprising outputting the knowledge bundle.

6. The method of claim 5, further comprising storing the knowledge bundle in a database.

7. The method of claim 6, further comprising providing access to the database using a user interface.

8. The method of claim 6, further comprising providing access to the database using a client application.

9. The method of claim 1, wherein the plurality of documents are normalized by converting each document into a standard format.

10. The method of claim 1, wherein the document type is a contract and wherein the plurality of documents includes at least one contract.

11. The method of claim 1, wherein the document type is a medical record and wherein the plurality of documents includes at least one medical record.

12. A system for analyzing a plurality of documents, the system comprising:

a normalization module;

a categorization module coupled to the normalization module;

an automated text-based document analyzer coupled to the categorization module; and

a library system coupled to the automated text-based document analyzer, wherein the library system includes at least a first automated text-based document analyst associated with a first document type and at least a second automated text-based document analyst associated with a second document type.

13. The system of claim 12, wherein the automated text-based document analyzer selects at least one automated text-based document analyst from the library system based on a document type identified by the categorization module.

14. The system of claim 12, wherein the automated text-based document analyzer selects at least one automated text-based document analyst from the library system based on a document type received from the normalization module.

15. The system of claim 12, wherein the first automated text-based document analyst and the second automated text-based document analyst are generated based on an output file that results from an automated computer executable build operation performed on a plurality of source documents with respect to at least one target field associated with data to be extracted from the plurality of source documents.

16. The system of claim 12, wherein the normalization module receives a plurality of documents and converts each of the plurality of documents to a standard format.

17. The system of claim 16, wherein the categorization module receives a plurality of standardized documents from the normalization module and wherein the categorization module determines a document type associated with each of the plurality of standardized documents based on the information contained in each of the plurality of standardized documents.

18. The system of claim 12, wherein the automated text-based document analyzer uses at least one automated text-based document analyst to extract a plurality of data and associated fields from a plurality of source documents.

19. The system of claim 18, wherein the automated text-based document analyzer provides a knowledge bundle that is constructed from the plurality of data and associated fields.

20. A system for analyzing a plurality of documents, the system comprising:

a computer readable medium; and

a library system stored within the computer readable medium, wherein the library system includes at least a first automated text-based document analyst associated with a first document type and at least a second automated text-based document analyst associated with a second document type, wherein the first automated text-based document analyst and the second automated text-based document analyst have a data extraction precision rate that is greater than 85 percent.

21. The system of claim 20, wherein the first automated text-based document analyst and the second automated text-based document analyst have a precision rate that is greater than 90 percent.

22. The system of claim 21, wherein the first automated text-based document analyst and the second automated text-based document analyst have a precision rate that is greater than 95 percent.

23. The system of claim 20, wherein at least one automated text-based document analyst is selected from the library system based on a document type.

24. The system of claim 20, further comprising a categorization module that receives a plurality of standardized documents and determines a document type associated with each of the plurality of standardized documents.