IP Library Granted Patent US 7,287,017
Granted Patent B2
US 7,287,017 · App. 10/845,301 · Granted Oct 23, 2007

Decision engine

Assignee: Igego Methodologies, Inc.
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Quick Facts
Patent No.
US 7,287,017
App. No.
10/845,301
Granted
Oct 23, 2007
Kind
B2
Abstract

A software-based decision engine implements a comparative or opportunity based decision making methodology. A user selects or provides options and influencing factors. The importance of each influencing factor, and the reason for each factor's importance, is obtained. Each factor for each option is weighted, and any extra effort associated with a particular option is assessed. Resources and on-line links may be provided to assist in weighting factors. The factors may be pre-weighted based on quantifiable information. The options are ranked and displayed in a scorecard format, wherein the importance, reason and weight behind each factor of each option is displayed to the user, providing the user with quantifiable knowledge that he/she has made the best decision based on all available options and associated factors. Steps for developing an action plan to make a chosen option a reality may also be provided.

Claims (55)

1. A method for decision-making implemented as a computer program in a computer-readable storage medium comprising:

obtaining options to be considered for the outcome of a decision;

obtaining influencing factors in making the decision;

obtaining a non-preprogrammed rating of the importance of each of the influencing factors from a user of the computer program;

obtaining a weighting of each of the influencing factors for each of the options; and

computing and displaying a ranking of the options.

2. A method as claimed in claim 1 , wherein the options comprise products for potential purchase.

3. A method as claimed in claim 1 , wherein the options comprise clinical treatment pathways.

4. A method as claimed in claim 1 , and further comprising:

obtaining a reason that each of the influencing factors is important.

5. A method as claimed in claim 1 , and further comprising:

providing resources to assist a user in weighting the influencing factors.

6. A method as claimed in claim 1 , and further comprising:

pre-weighting the influencing factors based on known, quantifiable information about the influencing factors.

7. A method as claimed in claim 1 , and further comprising:

assessing whether extra effort is needed for any of the options.

8. A method as claimed in claim 7 , and further comprising:

obtaining the needed extra effort, the impact of making the effort, and the willingness to make the effort.

9. A method as claimed in claim 8 , and further comprising:

obtaining any critical dates associated with the extra effort.

10. A method as claimed in claim 1 , wherein the ranking of options is computed by multiplying the importance and weight of each factor, and adding the results for each option.

11. A method as claimed in claim 10 , wherein the rankings are displayed to the user in a scorecard format.

12. A method as claimed in claim 8 , wherein the ranking of options is computed by multiplying the importance and weight of each factor, adding the results for each option and, if extra effort was required, modifying the result based on the extra effort.

13. A method as claimed in claim 2 , and further comprising:

providing the ability to purchase products and accessories based on the user's options, influencing factors, and ratings and weights assigned to those factors.

14. A method as claimed in claim 1 , and further comprising:

collecting and storing data input by multiple users to facilitate analysis of decision-making patterns and factors.

15. A method as claimed in claim 1 , and further comprising:

developing an action plan for making a chosen option a reality.

16. A method as claimed in claim 15 , wherein the steps for developing an action plan comprise:

obtaining obstacles standing in the way of making the chosen option a reality;

obtaining ratings of the impact of the obstacles on making the chosen option a reality;

obtaining creative ideas for overcoming the obstacles;

determining risk by obtaining ratings of the user's difficulty to implement the creative ideas and the user's willingness to implement the creative ideas;

obtaining additional creative ideas if it is necessary to reduce the risk; and

generating and displaying an action plan based on the chosen option, the obstacles and the creative ideas for overcoming the obstacles.

17. A computer program product comprising a computer readable storage medium having computer instructions stored therein for assisting a user in making a purchase decision, the computer program product comprising instructions for:

obtaining a selection of products to be considered for purchase;

obtaining a selection of influencing factors in the purchase;

obtaining a rating of the importance of each of the influencing factors;

obtaining a reason that each of the influencing factors is important;

obtaining a weighting of the factors for each option, and providing resources to assist the user in the weighting;

computing and displaying a ranking of the products by multiplying the importance of each factor by its weighting and adding the results for each of the options; and

providing the option to purchase the products.

18. A computer program product as claimed in claim 17 , and further comprising:

collecting and storing the input of multiple users for use in analyzing consumer buying patterns and in tailoring and targeting products based on those patterns.

19. A computer program product comprising a computer readable storage medium having computer instructions stored therein for assisting a patient in making a clinical treatment decision, the computer program product comprising instructions for:

obtaining a selection of clinical treatment options to be considered;

obtaining a selection of influencing factors in the choice of options;

obtaining a rating of the importance of each of the influencing factors;

obtaining a reason that each of the influencing factors is important;

obtaining a weighting of the factors for each option, and providing resources to assist the user in the weighting; and

computing and displaying a ranking of the clinical treatment options by multiplying the importance of each factor by its weighting and adding the results for each of the options.

20. A computer program product as claimed in claim 19 , and further comprising:

collecting and storing the input of multiple patients for use by clinicians in prospectively addressing concerns of other patients, for use by researchers in better tailoring and directing future studies, and for use by developers of new devices and therapies.

Assignments (6)
CORRECTIVE ASSIGNMENT TO CORRECT THE THE NATURE OF CONVEYANCE SHOULD BE SECURITY AGREEMENT RATHER THAN ASSIGNMENT PREVIOUSLY RECORDED ON REEL 023348 FRAME 0484. ASSIGNOR(S) HEREBY CONFIRMS THE SECURITY AGREEMENT. Recorded Jan 27, 2010
From: VISIONTREE SOFTWARE, INC.
To: REINTJES HOLDINGS, LLC; REINTJES, MARY P.
Reel/Frame 023854/0638 →
CORRECTIVE ASSIGNMENT TO CORRECT THE THE NATURE OF CONVEYANCE TO SECURITY AGREEMENT AND TO PROPERLY CONFIRM AND ATTACH THE INTELLECTUAL PROPERTY SECURITY AGREEMENT PREVIOUSLY RECORDED ON REEL 023348 FRAME 0484. ASSIGNOR(S) HEREBY CONFIRMS THE INTELLECTUAL PROPERTY SECURITY AGREEMENT. Recorded Jan 27, 2010
From: VISIONTREE SOFTWARE, INC.
To: REINTJES HOLDINGS, LLC; REINTJES, MARY P.
Reel/Frame 023854/0705 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 9, 2009
From: VISIONTREE SOFTWARE, INC.
To: REINTJES HOLDINGS, LLC; REINTJES, MARY P.
Reel/Frame 023348/0484 →
SECURITY AGREEMENT Recorded Oct 5, 2009
From: VISIONTREE SOFTWARE, INC.
To: PELLINAT, WERNER; PELLINAT, ERIKA
Reel/Frame 023319/0893 →
CHANGE OF NAME Recorded Jan 9, 2007
From: IDEGO METHODOLOGIES, INC.
To: VISIONTREE SOFTWARE, INC.
Reel/Frame 018734/0353 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 13, 2004
From: PELLINAT, MARTIN
To: IDEGO METHODOLOGIES, INC.
Reel/Frame 015337/0114 →
Continuity (2)
Continuation In Part 0983477900 · Apr 12, 2001
Related Publication 20040220834A1 · Nov 4, 2004