Automated diagnostic system and method including multiple diagnostic modes

• US 6,524,241 B2
• Filed: 02/14/2001
• Issued: 02/25/2003
• 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:
  US09/785,043
• Publication Number:
  US 20020052540A1
• Time in Patent Office: 741 Days
• Field of Search: 600/300-301, 128/920-921, 128/925, 705/1-4, 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 method of automated medical diagnosis of a patient, the method comprising:

providing a first medical symptom element, the first medical symptom element having an actual symptom weight for a first disease and an alternative symptom weight for a second disease;

providing a second medical symptom element, the second medical symptom element having an actual symptom weight for the second disease;

applying the actual weight for the first medical symptom element to a first diagnostic score and the alternative weight to a second diagnostic score, wherein the first diagnostic score is associated with the first disease and the second diagnostic score is associated with the second disease; and

continuing diagnostic scoring by applying actual symptom weights for the second disease to the second diagnostic score.

2. The method defined in claim 1, wherein the first symptom element establishes the presence of a medical symptom.

3. The method defined in claim 1, wherein the first symptom element establishes the value of a medical symptom.

4. The method defined in claim 1, wherein the actual symptom weight for the second medical symptom element may be different than the alternative symptom weight for the first medical symptom element.

5. The method defined in claim 1, wherein the second medical symptom element is related to the first medical symptom element.

6. The method defined in claim 1, wherein the first symptom element is associated with one or more preferred questions and the second symptom element is associated with one or more alternative questions.

7. A computerized diagnostic method of a patient, the method comprising:

a) providing to a computer a list of diseases, each disease associated with a list of symptoms;

either the following two features;

b) automatically selecting a one of the symptoms to be a focus symptom based on a predetermined criteria; and

c) evaluating the focus symptom to establish the focus symptom, the established symptom contributing a weight to diseases having the established symptom;

or the following two features;

d) automatically selecting a one of the symptoms to be a focus symptom from the list of symptoms associated with a selected one of the diseases; and

e) evaluating the focus symptom to establish the focus symptom, the established symptom contributing a weight to at least the selected disease having the established symptom; and

f) selectively repeating b) and c) or d) and e) until accumulated weights for a disease reach or pass a threshold so as to declare a diagnosis.

8. The method defined in claim 7, wherein each symptom is associated with one or more questions, formulas, or logic structures.

9. The method defined in claim 7, wherein the predetermined criteria includes a prevalence of the symptoms in the diseases.

10. The method defined in claim 7, wherein one of the diseases is selected when a condition is satisfied, and wherein the selectively repeating continues with d) and e).

11. The method defined in claim 10, wherein the condition comprises a preselected percentage of a disease threshold.

12. The method defined in claim 10, wherein the condition comprises a diagnostic momentum of the accumulated weights for a disease.

13. The method defined in claim 10, wherein the condition comprises a particular response by the patient.

14. A computerized method for diagnosing the medical problem of a patient, the method comprising:

a) providing to a computer a list of diseases, each disease being associated with a list of symptoms;

b) selecting, in a first mode, a subset of diseases having shared symptoms from the list of diseases;

c) evaluating at least one of the shared symptoms;

d) switching from the first mode to a second mode based on the evaluating of the shared symptoms, wherein a particular disease is selected;

e) selecting, in the second mode, symptoms associated with the particular disease;

f) evaluating at least one of the selected symptoms of the particular disease; and

g) diagnosing the medical problem of a patient based on the evaluating of the shared symptoms and the selected symptoms.

15. The method defined in claim 14, wherein the switching occurs when a criteria is met based on the evaluating of the shared symptoms.

16. The method defined in claim 15, wherein the criteria is based on an external request by a user.

17. The method defined in claim 15, wherein the criteria is based on a diagnostic score from the evaluating of the shared symptoms.

18. The method defined in claim 15, wherein the criteria is based on a diagnostic momentum from the evaluating of the shared symptoms.

19. The method defined in claim 15, wherein the criteria is based on a probability of diagnosis.

20. A method of automated diagnosis including a computer, comprising:

asking a patient questions;

receiving answers from the patient;

using the answers to select a subset of possible diseases based on a chief complaint;

determining a first significant symptom of the patient; and

diagnosing a disease by asking questions associated with the symptoms of a selected disease, wherein the selected disease includes the fast significant symptom.

21. The method defined in claim 20, wherein the chief complaint is different than the first significant symptom.