Computer-automated implementation of user-definable decision rules for medical diagnostic or screening interpretations

• US 7,228,315 B2
• Filed: 03/01/2002
• Issued: 06/05/2007
• Est. Priority Date: 03/20/1997
• Status: Expired due to Term

• Current Assignee: Optimization ZORN Corporation
• Original Assignee: Kenneth D. Pool Jr, Terese Finitzo
• Inventors: Pool, Kenneth D. Jr., Finitzo, Terese
• Primary Examiner(s): RIMELL, SAMUEL G
• Application Number:
  US10/087,107
• Publication Number:
  US 20020081558A1
• Time in Patent Office: 1,922 Days
• Field of Search: 600/300, 600/301, 705/2, 705/3, 707/3, 707/104.1, 706/45, 700/86
• US Class Current: 1/1
• CPC Class Codes: A61B 5/121 evaluating hearing capacity
• CPC Class Codes: A61B 5/38 Acoustic or auditory stimuli
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

Software is utilized for allowing a physician to modify the rules of a decision tree so that the individual judgment of the doctor is best utilized. A technician can then carry out tests on a patient, obtain test data in the form of digital data, and apply the test data to the software. The patent test data is then processed through the decision tree to thereby obtain a diagnosis of the patent using the professional judgment without the presence of the physician.

Claims

1. A method of processing data representing results of a diagnostic or screening test, the method comprising the steps of:

performing a first procedure to customize decision making criteria, said first procedure including the steps of;

defining one or more features characteristic of said data;

defining a plurality of decision levels;

defining, for each decision level, at least one rule based on at least one of said features; and

defining, for each rule, a criteria; and

performing a second procedure to process said data, said second procedure including the steps of;

receiving said data to be processed, said data having values corresponding to said features;

comparing said values of said data with said rules according to said criteria; and

outputting a conclusion based on said comparison, said conclusion comprising an indication of the outcome of the diagnostic or screening test.

2. A method in accordance with claim 1, wherein said first procedure further comprises a step of designating, for each decision level, a quantity of rules effective to influence a result for that level.

3. A method in accordance with claim 1, wherein said first procedure further comprises a step of designating, for each decision level, whether that level represents a condition selected from the group consisting of a technical fail condition, a necessary condition, a sufficient condition, a contributing condition and a refer condition, and

wherein said step of comparing said values with said rules according to said criteria includes performing a comparison of said values with said rules according to said criteria for each decision level, and

wherein, in said step of outputting a conclusion, the conclusion is output based on a combination of at least a comparison result for said necessary condition and a comparison result for said sufficient condition.

4. A method in accordance with claim 3, wherein, in said step of outputting a conclusion, the conclusion is output based on a combination of at least a comparison result for said necessary condition, a comparison result for said sufficient condition, and a comparison result for said contributing condition.

5. A method in accordance with claim 3, wherein said first procedure further comprises a step of designating, for each decision level, a quantity of rules effective to influence a result for that level.

6. A method in accordance with claim 1, wherein:

said step of comparing said values with said rules according to said criteria includes performing a comparison of said values with said rules according to said criteria for each decision level, and

in said step of outputting a conclusion, the conclusion is output based on a combination of comparison results for at least two levels.

7. A method in accordance with claim 1, wherein said step of comparing said values with said rules according to said criteria includes performing a comparison of said values with said rules according to said criteria for each decision level.

25. A method in accordance with claim 1, wherein said conclusion further comprises a recommendation based on the outcome of the diagnostic or screening test.

8. A software program including computer executable instructions stored on a computer readable medium, said software program comprising:

a first set of computer code that enables a user to customize decision making criteria, said first set of computer code including;

computer code that enables a user to define features characteristic of a predetermined type of data;

computer code that enables a user to define a plurality of decision levels;

computer code that enables a user to define for each decision level at least one rule based on at least one of said features; and

computer code that enables a user to define for each rule a criteria; and

a second set of computer code that enables the computer to process data, said second set of computer code including;

computer code that receives data of said predetermined type to be processed, said data having values corresponding to said features;

computer code that compares said values with said rules according to said criteria; and

computer code that outputs a conclusion based on said comparison.

9. A software program in accordance with claim 8, wherein said first set of computer code further comprises computer code that enables a user to designate, for each decision level, a quantity of rules effective to influence a result for that level.

10. A software program in accordance with claim 8, wherein said first set of computer code further comprises computer code that enables a user to designate, for each decision level, whether that level represents a condition selected from the group consisting of a technical fail condition, a necessary condition, a sufficient condition, a contributing condition and a refer condition,

wherein said computer code that compares said values with said rules according to said criteria performs a comparison of said values with said rules according to said criteria for each decision level, and

wherein said computer code that outputs a conclusion does so based on a combination of at least a comparison result for said necessary condition and a comparison result for said sufficient condition.

11. A software program in accordance with claim 10, wherein said computer code that outputs a conclusion does so based on a combination of at least a comparison result for said necessary condition, a comparison result for said sufficient condition, and a comparison result for said contributing condition.

12. A software program in accordance with claim 10, wherein said first set of computer code further comprises computer code that enables a user to designate, for each decision level, a quantity of rules effective to influence a result for that level.

13. A software program in accordance with claim 8, wherein:

said computer code that compares said values with said rules according to said criteria performs a comparison of said values with said rules according to said criteria for each decision level, and

said computer code that outputs a conclusion does so based on a combination of comparison results for at least two levels.

14. A software program in accordance with claim 8, wherein said computer code that compares said values with said rules according to said criteria performs a comparison of said values with said rules according to said criteria for each decision level.

15. A method of analyzing data comprising steps of:

enabling a user to customize decision making criteria by performing steps including;

defining features characteristic of a predetermined type of data representing results of a test;

defining one or more groups of settings, each of said groups of settings including;

a plurality of decision levels;

for each decision level, at least one rule based on at least one of said features; and

for each rule, a criteria; and

storing said groups of settings; and

processing the data by performing steps including;

enabling a user to select a stored group of settings of said stored groups of settings;

receiving data of said predetermined type to be processed, said data having values corresponding to said features;

based on said selected group of settings, comparing said values with said rules according to said criteria; and

outputting a conclusion based on said comparison, said conclusion including an indication of the outcome of the test.

16. A method in accordance with claim 15, wherein said step of enabling a user to customize decision making criteria further comprises a step of designating, for each decision level of each of said groups of settings, a quantity of rules effective to influence a result for that level.

17. A method in accordance with claim 15, wherein said step of enabling a user to customize decision making criteria further comprises a step of designating, for each decision level, whether that level represents a condition selected from the group consisting of a technical fail condition, a necessary condition, a sufficient condition, a contributing condition and a refer condition,

wherein said step of comparing compares said values with said rules according to said criteria includes performing a comparison of said values with said rules according to said criteria for each decision level, and

wherein, in said step of outputting a conclusion, the conclusion is output based on a combination of at least a comparison result for said necessary condition and a comparison result for said sufficient condition.

18. A method in accordance with claim 15,

wherein said step of comparing said values with said rules according to said criteria includes performing a comparison of said values with said rules according to said criteria for each decision level, and

wherein, in said step of outputting a conclusion, the conclusion is output based on a combination of comparison results for at least two levels.

19. A method in accordance with claim 18, wherein said step of enabling a user to customize decision making criteria further comprises a step of designating, for each decision level, a quantity of rules effective to influence a result for that level.

26. A method in accordance with claim 15, wherein said conclusion includes a recommendation based on the outcome of the test.

20. A software program including computer executable instructions stored on a computer readable medium, said program comprising:

a first set of computer code that enables a user to customize decision making criteria, said first set of computer code including;

computer code that enables a user to define features characteristic of a predetermined type of data;

computer code that enables a user to define one or more groups of settings, each of said groups of settings including;

a plurality of decision levels;

for each decision level at least one rule based on at least one of said features; and

for each rule a criteria; and

computer code that enables a user to store said groups of settings; and

a second set of computer code that enables a computer to process data, said second set of computer code including;

computer code that enables a user to select a stored group of settings of said stored groups of settings;

computer code that receives data of said predetermined type to be processed, said data having values corresponding to said features;

computer code that, based on said selected group of settings, compares said values with said rules according to said criteria; and

computer code that outputs a conclusion based on said comparison.

21. A software program in accordance with claim 20, wherein said first set of computer code further comprises, for each of said groups of settings, computer code that enables a user to designate for each decision level a quantity of rules effective to influence a result for that level.

22. A software program in accordance with claim 20, wherein said first set of computer code further comprises computer code that enables a user to designate, for each decision level, whether that level represents a condition selected from the group consisting of a technical fail condition, a necessary condition, a sufficient condition, a contributing condition and a refer condition,

wherein said computer code that compares said values with said rules according to said criteria performs a comparison of said values with said rules according to said criteria for each decision level, and

wherein said computer code that outputs the conclusion does so based on a combination of at least a comparison result for said necessary condition and a comparison result for said sufficient condition.

23. A software program in accordance with claim 20,

wherein said computer code that compares said values with said rules according to said criteria performs a comparison of said values with said rules according to said criteria for each decision level, and

wherein said computer code that outputs the conclusion does so based on a combination of comparison results for at least two levels.

24. A software program in accordance with claim 23, wherein said first set of computer code further comprises computer code that enables a user to designate for each decision level, a quantity of rules effective to influence a result for that level.