Method and system for generating medical narrative

• US 20050273362A1
• Filed: 05/31/2005
• Published: 12/08/2005
• Est. Priority Date: 06/02/2004
• Status: Abandoned Application

• Current Assignee: Catalis, Inc.
• Original Assignee: Catalis, Inc.
• Inventors: Harris, Mary Dee, Shipman, Steven Ray
• Application Number:
  US11/141,244
• Publication Number:
  US 20050273362A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

In one particular embodiment, the disclosure is directed to a system including a processor and storage. The storage is accessible by the processor and includes medical findings data and computer-implemented program instructions. The medical findings data include a discrete input. The computer-implemented program instructions are configured to access the medical findings data and are configured to generate at least a portion of a medical narrative based on the discrete input.

Claims

1. A system comprising:

a processor; and

storage accessible by the processor, the storage including;

medical findings data including a discrete input;

computer-implemented program instructions configured to access the medical findings data and configured to generate at least a portion of a medical narrative based on the discrete input.

2. The system of claim 1, wherein the computer-implemented program instructions are configured to generate an event entry based on the discrete input in accordance with plan data.

3. The system of claim 2, wherein the plan data includes precondition data.

4. The system of claim 2, wherein the plan data includes action data.

5. The system of claim 2, wherein the computer-implemented program instructions are configured to generate a predicate argument structure based on the event entry.

6. The system of claim 5, wherein the computer-implemented program instructions are configured to generate the at least a portion of the medical native based on the event entry.

7. The system of claim 1, further comprising a network interface accessible to the processor.

8. The system of claim 7, further comprising computer-implemented program instructions configured to receive medical findings data via the network interface.

9. (canceled)

10. (canceled)

11. A system comprising:

a processor; and

storage accessible to the processor, the storage including;

data including a discrete input;

a plan file; and

computer-implemented instructions configured to access the data and configured to form a linguistic component object.

12. The system of claim 11, further comprising computer-implemented instructions configured to access the linguistic component object and configured to form a canonical form narrative based on the linguistic component object.

13. The system of claim 12, wherein the computer-implemented instructions configured to generate the canonical form narrative are configured to generate a predicate argument structure based on the linguistic component object and are configured to generate the canonical form narrative based on the predicate argument structure.

14. The system of claim 12, wherein the canonical form narrative is associated with a stage in a medical workflow.

15. The system of claim 11, wherein the plan file includes a precondition statement.

16. The system of claim 11, wherein the plan file includes an action statement.

17. The system of claim 11, wherein the data includes medical findings data.

18. (canceled)

19. A computer-implemented method for generating a medical narrative, the method comprising:

accessing a discrete input associated with a medical finding; and

generating a medical narrative based on the discrete input.

20. The method of claim 19, further comprising generating event data in accordance with a plan class and based on the discrete input.

21. The method of claim 20, further comprising instantiating a plan class based on plan data.

22. The method of claim 20, further comprising generating a predicate argument structure based on the event data.

23. The method of claim 22, further comprising generating a canonical form medical narrative based on the predicate argument structure.

24. (canceled)

25. (canceled)

26. (canceled)