Document and information processing system

• US 6,738,784 B1
• Filed: 04/06/2000
• Issued: 05/18/2004
• Est. Priority Date: 04/06/2000
• Status: Expired due to Term

• Current Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Original Assignee: Dictaphone Corporation (Microsoft Corporation)
• Inventors: Howes, Simon L.
• Primary Examiner(s): Coby, Frantz
• Application Number:
  US09/544,557
• Time in Patent Office: 1,503 Days
• Field of Search: 704/235, 704/260, 340/147, 364/900, 705/2, 707/10, 707/102, 707/104.1
• US Class Current: 1/1
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: H04L 67/06 specially adapted for file transfer, e.g. file transfer protocol [FTP]
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: Y10S 707/99931 Database or file accessing
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

The invention relates to an information and/or document processing system. The information processing system includes at least one user input device, a transcription center at which voice files received from the at least one user input device are transcribed to text format and a natural language processing system receiving the transcribed voice files for analysis and processing. The natural language processing system applies knowledge based analysis for compiling the transcribed voice files. The system, further includes a dynamic experiential database processing the compiled and transcribed voice files to add value to the incoming information.

Claims

1. A document processing system for subscription based dictation, transcription and document distribution, comprising:

a plurality of user input devices transmitting voice files from a plurality of distinct subscribers;

a transcription center associated with a public subscriber server operated independently and remotely from the plurality of user input devices, the public subscriber server receiving voice files from the user input devices and forwarding the voice files for transcription under a set of controlled rules;

the transcription center transcribing the voice files received from the plurality of distinct subscribers,

a text processor applying knowledge based analysis post transcription for compiling the transcribed voice files according to the set of controlled rules, and

the transcription center including a document distribution engine distributing transcribed documents in a manner prescribed by the subscriber.

2. The document processing system according to claim 1, wherein the transcription center transcribes the voice files via speech recognition software.

3. The document processing system according to claim 1, wherein the transcription center includes transcriptionists for transcribing the voice files.

4. The document processing system according to claim 1, wherein the text processor provides for coding compliance.

5. The document processing system according to claim 1, wherein the text processor provides for automatic report compilation.

6. The document processing system according to claim 1, wherein the text processor provides for the structuring of reports.

7. The document processing system according to claim 1, further including a dynamic experiential database.

8. A subscription based dictation, transcription and document distribution method, comprising:

receiving voice files from a plurality of user input devices transmitting voice files from a plurality of distinct subscribers;

operating a transcription center associated with a public subscriber server independently and remotely from the plurality of user input devices, the public subscriber server receiving voice files from the user input devices and forwarding the voice files for transcription under a set of controlled rules;

transcribing the voice files received from the plurality of distinct subscribers;

processing the transcribed files with a text processor applying knowledge based analysis post transcription for compiling the transcribed voice files according to the set of controlled rules; and

distributing the transcribed voice files in a manner prescribed by the subscriber.

9. The method according to claim 8, wherein transcription is performed via speech recognition software.

10. The method according to claim 8, where in transcription is performed by transcriptionists.

11. The method according to claim 8, wherein the text processor provides for coding compliance.

12. The method according to claim 8, wherein the text processor provides for automatic report compilation.

13. The method according to claim 8, wherein the text processor provides for the structuring of reports.

14. The method according to claim 8, further including the step of creating a dynamic experiential database based upon the information compiled by the text processor.

15. An information processing system, comprising:

at least one user input device;

a transcription center at which voice files received from the at least one user input device are transcribed to text format;

a text processing system receiving the transcribed voice files for analysis and processing, the text processing system applying knowledge based analysis post transcription for compiling the transcribed voice files; and

a dynamic experiential database processing the compiled and transcribed voice files to add value to the incoming information.

16. The information processing system according to claim 15, wherein the transcription center transcribes the voice files via speech recognition software.

17. The information processing system according to claim 15, wherein the transcription center includes transcriptionists for transcribing the voice files.

18. The information processing system according to claim 15, wherein the text processing system provides for coding compliance.

19. The information processing system according to claim 15, wherein the text processing system provides for automatic report compilation.

20. The information processing system according to claim 15, wherein the text processing system provides for the structuring of reports.

21. The information processing system according to claim 15, wherein the information processing system processes information relating to the a health care industry.

22. The information processing system according to claim 21, wherein the dynamic experiential database compiles experiences of a medical profession to provide a comprehensive collection of information which may be readily accessed and utilized.

23. The information processing system according to claim 22, wherein the dynamic experiential database suggests a variety of courses of action with annotations.

24. The information processing system according to claim 22, wherein the dynamic experiential database provides procedural advice based upon stored experiences of other practitioners.

25. The information processing system according to claim 22, wherein the dynamic experiential database provides for automatic coding.

26. The information processing system according to claim 22, wherein the dynamic experiential database provides for chronic disease analysis.

27. The information processing system according to claim 22, wherein the dynamic experiential database provides for quality reporting.

28. The information processing system according to claim 22, wherein the dynamic experiential database provides for physician/hospital decision support.

29. A dynamic medical experiential database, comprising:

a collection of related medical information compiled via an information processing system including at least one user input device, a transcription center at which voice files received from the at least one user input device are transcribed to text format, and a text processing system receiving the transcribed voice files in text format for analysis and processing, the text processing system applying knowledge based analysis post transcription for compiling the transcribed voice files;

the collection of related medical information being processed to add value to the compiled and transcribed voice files.

30. The dynamic medical experiential database according to claim 29, wherein the dynamic experiential database suggests a variety of courses of action with annotations.

31. The dynamic medical experiential database according to claim 29, wherein the dynamic experiential database provides procedural advice based upon stored experiences of other practitioners.

32. The dynamic medical experiential database according to claim 29, wherein the dynamic experiential database provides for automatic coding.

33. The dynamic medical experiential database according to claim 29, wherein the dynamic experiential database provides for chronic disease analysis.

34. The dynamic medical experiential database according to claim 29, wherein the dynamic experiential database provides for quality reporting.

35. The dynamic medical experiential database according to claim 29, wherein the dynamic experiential database provides for physician/hospital decision support.

36. A method for collecting, compiling and processing information, comprising the following steps:

receiving voice files from at least one subscriber;

transcribing the received voice files to text format;

analyzing and processing the transcribed voice files using a text processing system applying knowledge based analysis post transcription for compiling the transcribed voice files;

collecting the compiled transcribed voice files in a dynamic experiential database which processes the voice files to add value thereto.

37. The method according to claim 36, wherein voice files are received from a variety of distinct subscribers.

38. The method according to claim 36, wherein healthcare information is collected, compiled and processed.

39. The method according to claim 36, wherein the dynamic experiential database suggests a variety of courses of action with annotations.

40. The method according to claim 36, wherein the dynamic experiential database provides procedural advice based upon stored experiences of other practitioners.

41. The method according to claim 36, wherein the dynamic experiential database provides for automatic coding.

42. The method according to claim 36, wherein the dynamic experiential database provides for chronic disease analysis.

43. The method according to claim 36, wherein the dynamic experiential database provides for quality reporting.

44. The method according to claim 36, wherein the dynamic experiential database provides for physician/hospital decision support.

45. The method according to claim 36, wherein the text processor provides for coding compliance.

46. The method according to claim 36, wherein the text processor provides for automatic report compilation.

47. The method according to claim 36, wherein the text processor provides for the structuring of reports.

48. A method for providing end users with value added information, comprising the following steps:

receiving voice files from at least one subscriber;

transcribing the received voice files to text format;

analyzing and processing the transcribed voice files using a text processing system applying knowledge based analysis post transcription for compiling the transcribed instructions; and

collecting the compiled transcribed voice files in a dynamic experiential database which processes the voice files to add value thereto.

49. The method according to claim 48, wherein voice files are received from a variety of distinct subscribers.

50. The method according to claim 48, wherein healthcare information is collected, compiled and processed.

51. The method according to claim 48, wherein the dynamic experiential database suggests a variety of courses of action with annotations.

52. The method according to claim 48, wherein the dynamic experiential database provides procedural advice based upon stored experiences of other practitioners.

53. The method according to claim 48, wherein the dynamic experiential database provides for automatic coding.

54. The method according to claim 48, wherein the dynamic experiential database provides for chronic disease analysis.

55. The method according to claim 48, wherein the dynamic experiential database provides for quality reporting.

56. The method according to claim 48, wherein the dynamic experiential database provides for physician/hospital decision support.

57. The method according to claim 48, wherein the text processor provides for coding compliance.

58. The method according to claim 48, wherein the text processor provides for automatic report compilation.

59. The method according to claim 48, wherein the text processor provides for the structuring of reports.