Influence matrix system and method

• US 20050075922A1
• Filed: 06/28/2004
• Published: 04/07/2005
• Est. Priority Date: 06/26/2003
• Status: Abandoned Application

• Current Assignee: Advanced Health Media LLC (IQVIA Holdings, Inc.)
• Original Assignee: Advanced Health Media LLC (IQVIA Holdings, Inc.)
• Inventors: Miller, Greg, McMurtry, Kevin, Brady, Jeffrey
• Application Number:
  US10/880,353
• Publication Number:
  US 20050075922A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls

Abstract

The present invention includes a matrix associated with the influence of at least one participant. The matrix includes at least one participant and a market defining the practice area of the at least one participant, wherein the market is statistically modeled to represent the degree of influence exerted by the at least one participant. The present invention further includes a method of assessing an influence level of at least one physician. This method include forwarding at least two survey questions to a physician, wherein one of said at least two survey questions includes an allowance for naming at least one nominee physician, weighting at least one possible answer to the at least two survey questions, receiving at least one response to said at least two survey question, and placing the physician and the nominee physician in a referral tree at a hierarchical level in accordance with said weighting accorded the responses.

Claims

1. A matrix associated with the influence of at least one participant, said matrix comprising:

at least one participant; and

a market defining the practice area of said at least one participant;

wherein said market is statistically modeled to represent the degree of influence exerted by said at least one participant.

2. The matrix of claim 1, wherein said market comprises physicians in a local pharmaceutical market.

3. The matrix of claim 1, wherein said statistical modeling results from answers to at least one question posed to a sampling of the market.

4. The matrix of claim 1, wherein said matrix is organized in a referral tree.

5. The matrix of claim 4, wherein said referral tree provides an accurate view of a local market.

6. The matrix of claim 1, wherein said at least one participant is identified based on multiple factors.

7. The matrix of claim 1, wherein said matrix is used as the basis for targeted marketing.

8. The matrix of claim 1, wherein said statistical modeling includes weighting factors suitable to provide an influence assessment.

9. The matrix of claim 1, wherein said statistical modeling identifies at least one key group of opinion leaders.

10. The matrix of claim 1, wherein said statistical modeling is based on at least two types of information.

11. The matrix of claim 10, wherein said at least two types of information include client supplied information and survey response information.

12. The matrix of claim 11, wherein said client supplied information is provided in response to at least one survey about frequently prescribing and targeted physicians and survey response information from targeted physicians regarding the perceptions of said targeted physicians.

13. The matrix of claim 11, wherein said survey is designed by a surveyor.

14. The matrix of claim 11, wherein said survey queries at least the numbers of prescriptions written by each physician.

15. The matrix of claim 11, wherein said survey queries at least the types of prescriptions written by each physician.

16. The matrix of claim 11, wherein the results of said survey are recorded in a relational database.

17. A method of assessing an influence level of at least one physician, comprising:

forwarding at least two survey questions to a physician, wherein one of said at least two survey questions includes an allowance for naming at least one nominee physician;

weighting at least one possible answer to the at least two survey questions;

receiving at least one response to said at least two survey question; and

placing the physician and the nominee physician in a referral tree at a hierarchical level in accordance with said weighting accorded the responses.

18. The method of claim 17, wherein said weighting comprises at least two types of information selected from the group consisting of client supplied information and survey response information.

19. The method of claim 17, wherein said receiving comprises assigning said weighting to the responses of the physician.

20. The method of claim 17, wherein said receiving comprises assigning of weight to the nominees name by the physician in the survey response.