Authoring language translator

• US 6,748,353 B1
• Filed: 03/08/1999
• Issued: 06/08/2004
• Est. Priority Date: 12/29/1993
• Status: Expired due to Term

• Current Assignee: Clinical Decision Support, LLC (Tivity Health, Inc.)
• Original Assignee: First Opinion Corporation (Tivity Health, Inc.)
• Inventors: Iliff, Edwin C.
• Primary Examiner(s): EDOUARD, PATRICK NESTOR
• Application Number:
  US09/265,226
• Time in Patent Office: 1,919 Days
• Field of Search: 705/2, 705/3, 704/9, 704/1, 704/10, 706/45, 706/46, 706/47, 706/11, 706/12, 706/13, 706/14, 706/15, 706/62, 706/924, 600/300, 600/301, 600/302
• US Class Current: 704/9
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• 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 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 70/20 relating to practices or guidelines
• CPC Class Codes: G16H 70/60 relating to pathologies
• CPC Class Codes: H04M 2201/40 using speech recognition
• CPC Class Codes: H04M 2203/355 Interactive dialogue design tools, features or methods
• CPC Class Codes: H04M 3/493 Interactive information services, e.g. directory enquiries ; Arrangements therefor, e.g. interactive voice response [IVR] systems or voice portals
• CPC Class Codes: Y10S 128/92 Computer assisted medical diagnostics
• CPC Class Codes: Y10S 128/925 Neural network
• CPC Class Codes: Y10S 706/924 Medical

Abstract

A system and method for providing computerized, knowledge-based medical diagnostic and treatment advice. The medical advice is provided to the general public over a telephone network. Two new authoring languages, interactive voice response and speech recognition are used to enable expert and general practitioner knowledge to be encoded for access by the public. “Meta” functions for time-density analysis of a number of factors regarding the number of medical complaints per unit of time are an integral part of the system. A semantic discrepancy evaluator routine along with a mental status examination are used to detect the consciousness level of a user of the system. A re-enter feature monitors the user'"'"'s changing condition over time. A symptom severity analysis helps to respond to the changing conditions. System sensitivity factors may be changed at a global level or other levels to adjust the system advice as necessary.

Claims

1. In a computer, a medical authoring language translator, comprising:

means for parsing a program comprising a set of nodes and associated action lists written in a predetermined medical authoring language;

means, receiving data from the parsing means, for generating a portion of a node table, the node table comprising a record for each node in the set of nodes; and

means, receiving data from said parsing means, for generating a list file for each node, the list file comprising a work list, a next list and a play list, each list being accessed at run-time.

2. The translator of claim 1, wherein a plurality of selected records from the node table and a plurality of list files associated with the selected records are representative of an executable medical complaint algorithm.

3. The translator of claim 2, wherein the work list includes one or more operations to be performed when one of the nodes is activated during execution of the medical complaint algorithm.

4. The translator of claim 3, wherein the work list is executed before execution of the play list during run-time of the medical complaint algorithm.

5. The translator of claim 2, wherein the play list includes one or more messages to be communicated to a patient when one of the nodes is activated during execution of the medical complaint algorithm.

6. The translator of claim 2, wherein the record for each node comprises a node type and parent node information.

7. The translator of claim 1, wherein the work list, the next list or the play list is empty for a particular node.

8. The translator of claim 2, wherein the next list defines a jump address for a next node after one of the nodes is activated during execution of the medical complaint algorithm.

9. The translator of claim 8, wherein a determination of the jump address includes an evaluation of an if-then-else expression.

24. The method of claim 3, wherein a list in the list file for the selected node is empty.

10. In a computer, a medical authoring language translator, comprising:

a parser for a medical authoring language representation, the representation comprising a set of nodes and associated action lists written in a predetermined authoring language;

a node table generator, receiving data from the parser, to generate a portion of a node table, the node table comprising a record for each node in the set of nodes; and

a list file generator, receiving data from the parser, to generate a list file associated with each node in the set of nodes, the list file comprising a plurality of different types of lists accessed at run-time, wherein the different types of lists include a work list, a next list and a play list.

11. The translator of claim 10, wherein a plurality of selected records from the node table and a plurality of list files associated with the selected records are representative of an executable medical complaint algorithm.

12. The translator of claim 10, wherein the record for each node comprises a node type and parent node information.

13. The translator of claim 10, wherein one of the plurality of the different types of lists is empty for a particular node.

14. In a computer, a method of translating a medical authoring language, comprising:

providing a data representation corresponding to a set of diagnostic steps for a selected medical problem; and

translating the data representation into a node table addressing a plurality of list files representative of an executable medical complaint algorithm, wherein each list file comprises a plurality of lists accessed at run-time which include a work list, a next list and a play list.

15. The method of claim 14, wherein the data representation comprises a plurality of connected nodes and associated action lists written in a medical authoring language.

16. The method of claim 15, wherein the translating comprises:

parsing the data representation of a selected node in the plurality of connected nodes;

generating a record for the node in the node table; and

generating a list file for the node.

17. The method of claim 16, wherein the node record includes a node type and an identifier of a parent node.

18. The method of claim 17, wherein the node type includes a menu type presenting a multiple choice question.

19. The method of claim 17, wherein the node type includes a yes/no type presenting a yes or no question.

20. The method of claim 17, wherein the node type includes a prompt type requesting numeric information from a patient.

21. The method of claim 17, wherein the node type includes a wait type presenting a predetermined message followed by a pause of a specified time interval.

22. The method of claim 14, additionally comprising processing the list files and a plurality of records in the node table to generate patient questions.

23. The method of claim 15, wherein the data representation additionally comprises a script for each one of selected nodes in the plurality of connected nodes, each script requesting information or providing advice to a patient.