System and method for correlating market research data based on sales representative activity

• US 20050096943A1
• Filed: 11/05/2003
• Published: 05/05/2005
• Est. Priority Date: 11/05/2003
• Status: Abandoned Application

• Current Assignee: GfK US Holdings, Inc. (GfK Nürnberg eV)
• Original Assignee: GfK US Holdings, Inc. (GfK Nürnberg eV)
• Inventors: Callandrillo, James R., Siegalovsky, Ilene L.
• Application Number:
  US10/701,751
• Publication Number:
  US 20050096943A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients

Abstract

The invention relates to an integrated system and method for collecting information for the pharmaceutical industry to assess opinions concerning sales and marketing forces, prescribing patterns and attitudinal physician perceptions regarding specific pharmaceutical brands. These three areas are evaluated through three modules, each consisting of a separate survey administered via the internet, and capable of producing reports integrating all three areas. The surveys are entitled: 1) Continuous Promotion Tracking Study (CPT); 2) Rx Intentions and Treatment Study (RxIT); and 3) Therapeutic Class Attitude and Perception Study (TCAP).

Claims

1. A method for assessing the effect of sales representative activity on pharmaceutical prescriptions comprising:

a. collecting sales representative activity data from a plurality of physicians who prescribe at least one pharmaceutical of interest;

b. collecting pharmaceutical prescription data of said plurality of physicians regarding said at least one pharmaceutical of interest; and

c. analyzing said sales representative activity data and said pharmaceutical prescription data to assess a correlation therebetween.

2. The method of claim 1 wherein said pharmaceutical prescription data is collected via the Internet.

3. The method of claim 1 wherein said sales representative activity data is collected via the Internet.

4. The method of claim 1 further comprising:

a. collecting physician pharmaceutical attitudinal data from said plurality of physicians regarding said at least one pharmaceutical of interest.

5. The method of claim 4 wherein said physician pharmaceutical attitudinal data is collected via the Internet.

6. The method of claim 4 further comprising:

a. analyzing said sales representative activity data, said physician pharmaceutical attitudinal data and said pharmaceutical prescription data to assess a correlation therebetween.

7. The method of claim 6 wherein said analysis of said physician pharmaceutical attitudinal data and said pharmaceutical prescription data includes a hierarchical organization thereof.

8. The method of claim 7 wherein said hierarchical organization is provided in graphical form.

9. The method of claim 7 wherein said hierarchical organization has the order of knowledge data, appropriateness data, performance data, consideration data, written data, and future intentions data.

10. The method of claim 9 wherein said knowledge data, said appropriateness data, said performance data and said consideration data are derived from said physician pharmaceutical attitudinal data and said written data and said future intentions data are derived from said pharmaceutical prescription data.

13. The method of claim 1 wherein said sales representative activity data is collected via the Internet.

11. A system for assessing the effect of sales representative activity on pharmaceutical prescriptions comprising:

a. a database for sales representative activity data, said sales representative activity data collected from a plurality of physicians who prescribe at least one pharmaceutical of interest;

b. a database for pharmaceutical prescription data collected from said plurality of physicians regarding said at least one pharmaceutical of interest; and

c. a processor for analyzing said sales representative activity data and said pharmaceutical prescription data to assess a correlation therebetween.

12. The system of claim 11 wherein said pharmaceutical prescription data is collected via the Internet.

14. The system of claim 11 further comprising:

a. a database for physician pharmaceutical attitudinal data, said physician pharmaceutical attitudinal data collected from said plurality of physicians regarding said at least one pharmaceutical of interest.

15. The system of claim 14 wherein said physician pharmaceutical attitudinal data is collected via the Internet.

16. The system of claim 14 wherein said processor analyzes said sales representative activity data, said physician pharmaceutical attitudinal data and said pharmaceutical prescription data to assess a correlation therebetween.

17. The system of claim 16 wherein said analysis of said physician pharmaceutical attitudinal data and said pharmaceutical prescription data includes a hierarchical organization thereof.

18. The system of claim 17 wherein said hierarchical organization is provided in graphical form.

19. The system of claim 17 wherein said hierarchical organization has the order of knowledge data, appropriateness data, performance data, consideration data, written data, and future intentions data.

20. The system of claim 19 wherein said knowledge data, said appropriateness data, said performance data and said consideration data are derived from said physician pharmaceutical attitudinal data and said written data and said future intentions data are derived from said pharmaceutical prescription data.

21. A system for assessing the effect of sales representative activity on pharmaceutical prescriptions comprising:

a. a database for sales representative activity data, said sales representative activity data collected from a plurality of physicians who prescribe at least one pharmaceutical of interest;

b. a database for physician pharmaceutical attitudinal data, said physician pharmaceutical attitudinal data collected from said plurality of physicians;

c. a database for pharmaceutical prescription data collected from said plurality of physicians regarding said at least one pharmaceutical of interest; and

d. a processor for analyzing said sales representative activity data, said physician pharmaceutical attitudinal data, said pharmaceutical prescription data to assess a correlation therebetween.

22. The system of claim 21 wherein said physician pharmaceutical attitudinal data is collected via the Internet.

23. The system of claim 21 wherein said pharmaceutical prescription data is collected via the Internet.

24. The system of claim 21 wherein said sales representative activity data is collected via the Internet.

25. The system of claim 21 wherein said analysis of said physician pharmaceutical attitudinal data and said pharmaceutical prescription data includes a hierarchical organization thereof.

26. The system of claim 25 wherein said hierarchical organization is provided in graphical form.

27. The system of claim 25 wherein said hierarchical organization has the order of knowledge data, appropriateness data, performance data, consideration data, written data, and future intentions data.

28. The system of claim 27 wherein said knowledge data, said appropriateness data, said performance data and said consideration data are derived from said physician pharmaceutical attitudinal data and said written data and said future intentions data are derived from said pharmaceutical prescription data.

29. A method for assessing the effect of sales representative activity and physician pharmaceutical attitude on pharmaceutical prescriptions comprising:

a. collecting sales representative activity data from a plurality of physicians who prescribe at least one pharmaceutical of interest;

b. collecting physician pharmaceutical attitudinal data from said plurality of physicians;

c. collecting pharmaceutical prescription data of said plurality of physicians regarding said at least one pharmaceutical of interest; and

d. analyzing said sales representative activity data, said physician pharmaceutical attitudinal data, and said pharmaceutical prescription data to assess a correlation therebetween.

30. The method of claim 29 wherein said physician pharmaceutical attitudinal data is collected via the Internet.

31. The method of claim 29 wherein said pharmaceutical prescription data is collected via the Internet.

32. The method of claim 29 wherein said sales representative activity data is collected via the Internet.

33. The method of claim 29 wherein said analysis of said physician pharmaceutical attitudinal data and said pharmaceutical prescription data includes a hierarchical organization thereof.

34. The method of claim 33 wherein said hierarchical organization is provided in graphical form.

35. The method of claim 33 wherein said hierarchical organization has the order of knowledge data, appropriateness data, performance data, consideration data, written data, and future intentions data.

36. The method of claim 35 wherein said knowledge data, said appropriateness data, said performance data and said consideration data are derived from said physician pharmaceutical attitudinal data and said written data and said future intentions data are derived from said pharmaceutical prescription data.