Clinical Training and Advice Based on Cognitive Agent with Psychological Profile

• US 20140113263A1
• Filed: 10/20/2012
• Published: 04/24/2014
• Est. Priority Date: 10/20/2012
• Status: Abandoned Application

• Current Assignee: University of Maryland Baltimore County (University of Maryland)
• Original Assignee: University of Maryland Baltimore County (University of Maryland)
• Inventors: Jarrell, Bruce, Nirenburg, Sergei, McShane, Marjorie Joan, Beale, Stephen, Fantry, George
• Application Number:
  US13/656,688
• Publication Number:
  US 20140113263A1
• Time in Patent Office: Days
• US Class Current: 434/262
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 23/28 for medicine

Abstract

A method and apparatus for a clinical simulation system targets psychological phenomena that can negatively impact the decision making of both a clinician and a patient. Techniques include identifying an independently reasoning agent in a medical clinical information processing system configured to simulate interactions between a clinician and a patient. The method also includes determining, on the system, psychological profile data that indicates one or more personality traits for the agent. The method further includes storing psychological profile data on the system in a hierarchical data structure for a natural language processing system. The method still further includes determining simulation output from the system based at least in part on the psychological profile data.

Claims

1. A method comprising:

identifying an independently reasoning agent in a medical clinical information processing system configured to simulate interactions between a clinician and a patient;

determining, on the system, psychological profile data that indicates one or more personality traits for the agent;

storing psychological profile data on the system in a hierarchical data structure for a natural language processing system; and

determining simulation output from the system based at least in part on the psychological profile data.

2. A method as recited in claim 1 wherein:

the agent represents a virtual patient;

the system receives input from a clinician trainee; and

the simulation output indicates a response of the virtual patient to the input by the trainee.

3. A method as recited in claim 1 wherein:

the agent represents a clinician;

the system receives input from the clinician; and

the simulation output indicates a performance or personality evaluation of the clinician.

4. A method as recited in claim 1 wherein:

the agent represents an actual patient;

a different agent represents a virtual mentor;

the system receives input from a clinician; and

the simulation output indicates a recommended diagnosis for the actual patient.

5. A method as recited in claim 1 wherein:

the agent represents an actual patient;

a different agent represents a virtual mentor;

the system receives input from a clinician; and

the simulation output indicates a recommended action or procedure for the actual patient.

6. A method as recited in claim 1 wherein:

the agent represents an actual patient;

the system receives input from a clinician; and

the simulation output indicates an personality evaluation of the actual patient.

7. A method as recited in claim 1, wherein the personality traits of the agent comprise:

one or more values for one or more corresponding first parameters selected from a group comprising trustfulness, lifestyle type, tolerance to risk, tolerance to pain, tolerance to disability and suggestibility; and

one or more values for one or more corresponding second parameters selected from a group comprising intellect, interest in learning, compassion, perception, trustworthiness, self image, affability, temper, education level, areas of expertise, beliefs, biases and phobias.

8. A method as recited in claim 1, wherein determining psychological profile data further comprises:

determining an initial value for one or more parameters of the personality traits for the agent based on statistics of a population to which the agent belongs; and

substituting a subsequent value for one or more parameters of the personality traits based on data provided by the agent.

9. A method as recited in claim 1, wherein determining psychological profile data further comprises determining a value for one or more parameters of the personality traits based on natural language processing of text generated by the agent.

10. A method as recited in claim 1, further comprising simulating, on the system, a physiological state of the agent.

11. A method as recited in claim 4, wherein the recommended diagnosis is based at least in part on a measure of predictive power of symptoms for a disease.

12. A method as recited in claim 4, wherein the recommended diagnosis is based at least in part on a probability of a disease in a population cluster to which the agent belongs.

13. A method as recited in claim 4, wherein the recommended diagnosis is that the patient suffers from achalasia.

14. A method as recited in claim 12, wherein the recommended diagnosis is that the patient suffers from achalasia based at least in part on a ratio of a number of contracting neurons to a number of relaxing neurons.

15. A method as recited in claim 1, wherein determining simulation output further comprising performing processing of text from a different independently reasoning agent in the medical clinical information processing system based at least in part on the psychological profile data.

16. A method as recited in claim 1, wherein:

the method further comprises performing natural language processing to generate and interpret text exchanged between a plurality of independently reasoning agents in the system; and

the simulation output is further based, at least in part, on the natural language processing of text exchanged between the plurality of agents.

17. A method as recited in claim 16, wherein performing natural language processing further comprises storing concepts of the natural language processor in the same hierarchical data structure as the psychological profile data.

18. A method as recited in claim 16, wherein the psychological profile data is based on the concepts of the natural language processor.

19. A method as recited in claim 16, wherein performing natural language processing and determining simulation output further comprise executing one or more instances of a single natural language processing engine.

20. A non-transient computer-readable medium carrying one or more sequences of instructions, wherein execution of the one or more sequences of instructions by one or more processors causes the one or more processors to perform the steps of:

identifying an independently reasoning agent in a medical clinical information processing system configured to simulate interactions between a clinician and a patient;

determining psychological profile data that indicates one or more personality traits for the agent;

storing psychological profile data in a hierarchical data structure for a natural language processing system; and

determining simulation output based at least in part on the psychological profile data.

21. An apparatus comprising:

at least one processor; and

at least one memory including one or more sequences of instructions,

the at least one memory and the one or more sequences of instructions configured to, with the at least one processor, cause the apparatus to perform at least the following,

identifying an independently reasoning agent in a medical clinical information processing system configured to simulate interactions between a clinician and a patient;

determining psychological profile data that indicates one or more personality traits for the agent;

storing psychological profile data in a hierarchical data structure for a natural language processing system; and

determining simulation output based at least in part on the psychological profile data.