Automated diagnostic system and method including alternative symptoms

• US 6,527,713 B2
• Filed: 02/14/2001
• Issued: 03/04/2003
• Est. Priority Date: 02/14/2000
• Status: Expired due to Term

• Current Assignee: Healthways SC, LLC (Warner Bros. Discovery, Inc.)
• Original Assignee: First Opinion Corporation (Tivity Health, Inc.)
• Inventors: Iliff, Edwin C.
• Primary Examiner(s): Hindenburg, Max F.
• Assistant Examiner(s): ASTORINO, MICHAEL C
• Application Number:
  US09/785,047
• Publication Number:
  US 20020040183A1
• Time in Patent Office: 748 Days
• Field of Search: 600/300-301, 128/920-925, 434/262-275, 434/236-238, 705/2-4, 702/19
• US Class Current: 600/300
• 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: 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 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 70/60 relating to pathologies
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
• CPC Class Codes: Y10S 128/904 Telephone telemetry
• CPC Class Codes: Y10S 128/92 Computer assisted medical diagnostics
• CPC Class Codes: Y10S 128/925 Neural network

Abstract

Structure-based processing includes a method of diagnosing diseases that works by arranging diseases, symptoms, and questions into a set of related disease, symptom, and question structures, such as objects or lists, in such a way that the structures can be processed to generate a dialogue with a patient. A structure-based processing system organizes medical knowledge into formal structures and then executes those structures on a structure engine to automatically select the next question. Patient responses to the questions lead to more questions and ultimately to a diagnosis. An object-oriented embodiment includes software objects utilized as active, intelligent agents where each object performs its own tasks and calls upon other objects to perform their tasks at the appropriate time to arrive at a diagnosis. Alternative symptoms, synergies, encoding of patient responses, multiple diagnostic modes, disease profiles or timelines, and the reuse of diagnostic objects enhance the processing of the system and method.

Claims

1. A system for automatically diagnosing a disease, comprising:

a first disease object associated with a set of first disease symptom objects, at least one first disease symptom object having an actual symptom weight; and

a second disease object associated with a set of second disease symptom objects, at least one second disease symptom object corresponding to the at least one first disease symptom object and having an alternative symptom weight, wherein the alternative symptom weight is applied to a diagnostic score so as to automatically diagnose the disease.

2. A method of automated medical diagnosis of a patient, comprising:

providing at least a first symptom element having a first symptom weight;

retrieving an alternative weight for the first symptom; and

applying the retrieved alternative weight to a diagnostic score so as to automatically diagnose a medical condition.

3. A method of automated medical diagnosis of a patient, the method comprising:

a) selecting a disease applicable to the patient;

b) selecting a symptom associated with the selected disease;

c) automatically determining, for the selected disease, if the selected symptom has an alternative symptom that has already been evaluated;

d) applying a diagnostic weight of the alternative symptom to a diagnostic score associated with the selected disease; and

e) automatically determining if a diagnosis of the disease has been reached based on the diagnostic score after application of the weight.

4. The method of claim 3, wherein the diagnostic weight is a function of a value corresponding to the alternative symptom.

5. The method of claim 4, wherein evaluating the alternative symptom comprises determining the value of the symptom.

6. The method of claim 3, additionally comprising repeating b) through e) until a termination condition is reached for the selected disease.

7. The method of claim 6, further comprising:

determining if there is an additional disease applicable to the patient; and

repeating a) through e) until a termination condition is reached for the additional disease.

8. The method of claim 3, additionally comprising enabling an alternative symptom mode wherein use of alternative symptoms is permitted.

9. The method of claim 3, additionally comprising applying a diagnostic weight of the selected symptom to the diagnostic score of the selected disease if the selected symptom does not have an alternative symptom that has already been evaluated.

10. The method of claim 9, wherein the diagnostic weight is a function of a value corresponding to the selected symptom.

11. The method of claim 10, additionally comprising evaluating the selected symptom so as to determine the value of the symptom.

12. The method of claim 3, additionally comprising disabling an alternative symptom mode wherein use of alternative symptoms is not permitted.

13. The method of claim 3, additionally comprising applying a diagnostic weight of the selected symptom to the diagnostic score of the selected disease if alternative symptoms are not permitted.

14. A system for automated medical diagnosis of a patient, comprising:

means for providing at least a first symptom having a first symptom weight;

means for retrieving an alternative weight for the first symptom; and

means for applying the retrieved alternative weight to a diagnostic score so as to automatically diagnose a medical condition.