Ontology based medical patient evaluation method for data capture and knowledge representation

• US 20060020466A1
• Filed: 01/14/2005
• Published: 01/26/2006
• Est. Priority Date: 07/26/2004
• Status: Abandoned Application

• Current Assignee: Wisper Technologies LLC
• Original Assignee: Wisper Technologies LLC
• Inventors: Allen, Sandra A., Brewster, Ravindra Robert, Cousineau, Leo E., Lesh, Kathryn Ann, Young, Harry, Cherpes, Peter L.
• Application Number:
  US11/034,937
• Publication Number:
  US 20060020466A1
• Time in Patent Office: Days
• US Class Current: 704/257
• CPC Class Codes: G10L 15/1822 Parsing for meaning understanding

Abstract

A patient evaluation method is disclosed in which non-standard input data is corrected in a syntax processing block with reference to a healthcare lexicon and a resulting corrected data file is thereafter used to reference an ontology in an ontology processing block to generate a standardized output.

Claims

1. A method, comprising:

receiving non-standard input data in a syntax processing block and generating a corrected data file with reference to a healthcare lexicon; and

,

receiving the corrected data file in an ontology processing block and generating a standardized output by referencing an ontology in response to the corrected data file.

2. The method of claim 1, wherein the non-standard input data comprises voice data, and the syntax processing block comprises a speech recognition application referencing the healthcare lexicon.

3. The method of claim 1, wherein the non-standard input data comprises handwriting, and the syntax processing block comprises a handwriting recognition application referencing the healthcare lexicon.

4. The method of claim 1, wherein the non-standard input data comprises text data, and the syntax processing block comprises a forms recognition application.

5. The method of claim 1, wherein the non-standard input data comprises image data, and the syntax processing block comprises an image recognition application.

6. The method of claim 1, wherein the non-standard input data comprises an electronic file, and the syntax processing block comprises a file parsing application.

7. The method of claim 1, wherein the non-standard input data comprises at least one of voice, handwriting, text, image data, and an electronic file, and wherein the syntax processing block comprises at least one of a voice recognition application referencing the healthcare lexicon, a forms recognition application, an image recognition application, and a file parsing application.

8. The method of claim 1, wherein the syntax processing block comprises a capture block and a staging block, the method comprising:

receiving the non-standard input data in the capture block; and

,

wirelessly communicating the non-standard input data to the staging block.

9. The method of claim 8, wherein the capture block comprises a wireless microphone and the staging block comprises a digital logic platform;

wherein wirelessly communicating the non-standard input data from the capture block to the staging block comprises generating a voice transcript signal in the wireless microphone; and

,

generating the corrected data file in the digital logic platform in response to the voice transcript signal and with reference to the healthcare lexicon .

10. The method of claim 9, wherein the digital logic platform comprises a Personal Computer (PC), a tablet PC, a laptop PC, a Personal Digital Assistant (PDA), or other transportable computing hardware.

11. The method of claim 9, wherein the generating the corrected data file in the digital logic platform comprises:

running a capture application enabling receipt of the voice transcript signal and generation of a voice data file from the voice transcript signal;

running a syntax application generating the corrected data file from the voice data file; and

running an interface application allowing reference to the healthcare lexicon by the capture application or the syntax application.

12. The method of claim 11, wherein the generating the corrected data file in the digital logic platform further comprises:

running an interface application enabling a data communication link between the syntax processing block and the ontology processing block.

13. The method of claim 12, wherein the data communication link between the syntax processing block and the ontology processing block comprises a Wireless Local Area Network (WLAN), a Wireless Metropolitan Area Network (WMAN), an Ad-hoc wireless network, a hardwired Local Area Network (LAN), or an Ethernet connected network.

14. The method of claim 12, wherein the syntax application comprises a subroutine correcting components in the voice data file with reference to the healthcare lexicon.

15. The method of claim 12, wherein the syntax application comprises a subroutine correcting the voice data file in accordance with a criteria.

16. The method of claim 12, wherein the syntax application comprises one subroutine correcting components in the voice data file with reference to the healthcare lexicon, and another subroutine correcting the voice data file in accordance with a criteria.

17. The method of claim 16, wherein generating the corrected data file further comprises providing user feedback responsive to the syntax application.

18. The method of claim 17, wherein providing user feedback comprises displaying grouped data elements on a display associated with the digital logic platform.

19. The method of claim 18, wherein the ontology processing block comprises a database or file system, and a server;

and,

wherein receiving the corrected data file comprise saving the corrected data file in the database or other persistent storage framework such as a file system.

20. The method of claim 19, wherein generating the standardized output comprise:

running an ontology application on the server adapted to reference an ontology in relation to the corrected data file.

21. The method of claim 20, wherein generating the standardized output further comprises:

running an interface application enabling access to the standardized output by an external system.

22. The method of claim 20, wherein the standardized output is standardized in relation to Health Insurance Portability &

Accountability Act (HIPAA), Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), International Classification of Diseases;

9^th revision, Clinical Modification (ICD-9-CM), Current Procedural Terminology (CPT), Health Level 7 (HL7), a Digital Imaging and Communications in Medicine (DICOM) standard, a Food &

Drug Administration (FDA) standard, a Veterans Affairs (VA) standard, a National Library of Medicine (NLM) standard, or a World Health Organization (WHO) standard.

23. The method of claim 21, wherein the ontology application selectively references one of a plurality of ontologies to generate multiple standardized outputs.

24. A method, comprising:

receiving non-standard voice input with a wireless microphone system and generating a voice transcript signal in response to the non-standard voice input data;

wirelessly communicating the voice transcript signal to a digital logic platform and generating a corrected data file in response to the voice transcript signal and with reference to a healthcare lexicon;

communicating the corrected data file to a server;

referencing an ontology in relation to the corrected data file; and

,

generating a standardized output in response to the referencing of the ontology in relation to the corrected data file.

25. The method of claim 24, wherein the standardized output is standardized in relation to Health Insurance Portability &

Accountability Act (HIPAA), Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), International Classification of Diseases;

9^th revision, Clinical Modification (ICD-9-CM), Current Procedural Terminology (CPT), Health Level 7 (HL7), a Digital Imaging and Communications in Medicine (DICOM) standard, a Food &

Drug Administration (FDA) standard, a Veterans Affairs (VA) standard, a National Library of Medicine (NLM) standard, or a World Health Organization (WHO) standard.

26. The method of claim 25, wherein generating the corrected data file in response to the voice transcript signal comprises;

running a syntax application to generate the corrected data file from a voice data file formed by the digital logic platform with reference to the healthcare lexicon.

27. The method of claim 26, wherein the syntax application comprises a criteria-correction subroutine correcting the voice data file in accordance with a criteria defining content for the corrected data file.

28. The method of claim 25, wherein generating the corrected data file in response to the voice transcript signal comprises:

running a voice enabled application establishing a control grammar controlling receipt of the voice input data, and an audio, visual, or both acknowledgement of the voice input data.

29. The method of claim 28, wherein the control grammar provides feedback to the user in relation to the voice input data via a display associated with the digital logic platform or an audio acknowledgement of the voice input data.

30. The method of 26, wherein the syntax application further comprises a component-correction subroutine correcting components of the voice data file in relation to multiple healthcare lexicons.

31. The method of claim 30, wherein communicating the corrected data file to a server comprises storing the corrected data file in a database or file system associated with the sever.

32. A method adapted for use in a system comprising a wireless microphone system, a digital logic platform and a server, the method comprising:

receiving a first command word via the wireless microphone system;

displaying a first set of grouped data elements in response to the first command word;

receiving non-standard voice input data via the wireless microphone system in relation to the first set of grouped data elements;

generating a voice transcript signal in the wireless microphone system in response to the non-standard voice input data;

wirelessly communicating the voice transcript signal from the wireless microphone system to the digital logic platform and generating a corrected data file in response to the voice transcript signal with reference to a healthcare lexicon;

communicating the corrected data file to the server;

referencing an ontology stored in memory associated with the sever using the corrected data file; and

,

generating a standardized output in response to the referencing of the ontology.

33. The method of claim 32, further comprising:

receiving a second command word via the wireless microphone system;

displaying a second set of grouped data elements in response to the second command word; and

,

receiving non-standard voice input data via the wireless microphone system in relation to the second set of grouped data elements.

34. The method of claim 32, further comprising:

recognizing an authorized system user prior to receiving the first command word.

35. The method of claim 34, wherein recognizing the authorized system user comprises:

recognizing voice data, biometric data, or an authorization code in the digital logic platform.

36. The method of claim 32, wherein generating the corrected data file in response to the voice transcript signal comprises:

running a capture application on the digital logic platform to generate a voice data file from the voice transcript signal;

running a syntax application on the digital logic platform to generate the corrected data file from the voice data file; and

,

running an interface application allowing reference to the healthcare lexicon by the capture application or the syntax application.

37. The method of claim 36, wherein the syntax application comprises a control grammar application displaying the first set of grouped data elements in response to the first command word.

38. The method of 37, wherein running the syntax application on the digital logic platform to generate the corrected data file comprises:

running a component-correction subroutine correcting components of the voice data file in relation to multiple healthcare lexicons.

39. The method of claim 38, wherein communicating the corrected data file to the server comprises storing the corrected data file in a database associated with the sever.

40. The method of claim 39, wherein referencing the ontology using the corrected data file comprises referencing a plurality of ontologies using the corrected data file;

and,

wherein generating the standardized output comprises generating multiple standardized outputs.

41. A method adapted for use in use in a system comprising a wireless microphone system, a digital logic platform and a server, the method comprising:

authorizing a first user;

allowing the first user to create an encounter record by;

generating a voice transcript signal in the wireless microphone system in response to non-standard voice input data from the first user;

wirelessly communicating the voice transcript signal from the wireless microphone system to the digital logic platform; and

,

generating a corrected data file associated with the encounter record in response to the voice transcript signal and with reference to a healthcare lexicon;

communicating the corrected data file to the server;

referencing an ontology comprising healthcare concepts, relationships, terminology, with an associated algorithm to produce related billing codes and stored in memory associated with the sever using the corrected data file; and

,

generating a standardized output in response to the referencing of the ontology.

42. The method of claim 41, further comprising:

saving the encounter record in the system upon completion of the encounter record by the first user;

authoring a second user;

allowing the second user access to the encounter record;

allowing the second user to make additional data entry to the encounter record by;

generating a voice transcript signal in the wireless microphone system in response to non-standard voice input data from the second user;

wirelessly communicating the voice transcript signal from the wireless microphone system to the digital logic platform; and

,

generating a corrected data file associated with the encounter record in response to the voice transcript signal and with reference to the healthcare lexicon.

43. The method of claim 42, wherein the second user may not edit portions of the encounter record generated by the first user.

44. The method of claim 41, wherein creation of the encounter record further comprises:

halting the generation of the voice transcript signal;

saving the corrected data file and defining a point in the encounter record at which data entry was halted; and

,

disabling the system.

45. The method of claim 44, further comprising:

re-authorizing the first user;

returning the point in the encounter record at which data entry was halted; and

,

allowing the first user to continue creation of the encounter record.