System and Method for Outcome-Based Management of Medical Science Liasons

• US 20090216554A1
• Filed: 12/02/2008
• Published: 08/27/2009
• Est. Priority Date: 03/04/2003
• Status: Abandoned Application

• Current Assignee: Bill Wayne Massey, Daniel Cushing, Daniel Leonard
• Original Assignee: Bill Wayne Massey, Daniel Cushing, Daniel Leonard
• Inventors: Cushing, Daniel, Leonard, Daniel, Massey, Bill Wayne
• Application Number:
  US12/326,585
• Publication Number:
  US 20090216554A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 30/016 After-sales
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records

Abstract

A system and method for managing customer interaction activities of medical liaison personnel of a sponsor organization with health professional customers to achieve one or more desired business outcomes is disclosed. The system uses a customer relation database to record data regarding customer interaction activity of the medical liaison personnel and data regarding the business outcomes achieved or not achieved during the predetermined time period. The system correlates the customer interaction activity data and the business outcome data so that it can be used to conduct capacity and tactical assessments for future medical liaison activities. A method for targeting medical thought leaders or other health professionals who are most likely to achieve the business outcomes is also disclosed. In one embodiment, the system also provides a method for surveying the health professional customers to determine their level of satisfaction with medical liaison personnel and sponsor organization.

Claims

1. A distributed customer relation management system for MSL data communications, comprising:

a. a master computer system comprising;

b. a memory system having a master customer relation management database with master data stored therein, said master data including a first attribute value for each of a plurality of MTLs and a second attribute value for each of the plurality of MTLs;

c. a network interface system for receiving first MSL data from a first MSL computer system via a first network architecture and for receiving second MSL data from a second MSL computer system via a second network architecture; and

d. a processing system for analyzing the master data in conjunction with at least one of the first MSL data and the second MSL data to produce resultant data, wherein

e. said processing system calculates a weighted score for each of the plurality of MTLs based at least in part on the first attribute value, a first attribute weight, the second attribute value, and a second attribute weight,

f. said processing system orders the MTLs in accordance with the weighted score of each of the plurality of MTLs

g. said processing system prioritizes and selects MTLs to be targeted for MSL interaction to achieve desired business outcomes, and

h. said master computer system is adapted to communicate the resultant data to the first MSL computer system via the first network architecture and to the second MSL computer system via the second network architecture.

2. The distributed customer relation management system of claim 1, wherein at least one of the first MSL computer system and the second MSL computer system comprise at least one of a notebook computer, a desktop computer, a personal digital assistant, a wireless telephone, a workstation and another network-compatible device.

3. The distributed customer relation management system of claim 1 wherein the master computer system comprises a centralized master computer system.

4. The distributed customer relation management system of claim 1 wherein the network interface system comprises at least one network interface device, the processing system comprises at least one electronic controller, and the memory system comprises at least one at least temporary memory device.

5. The distributed customer relation management system of claim 1, wherein at least one of the first network architecture and the second network architecture comprise at least one of a wired network and a wireless network.

6. The distributed customer relation management system of claim 1 wherein at least one of the first network architecture and the second network architecture comprise a local networking network architecture.

7. The distributed customer relation management system of claim 1 wherein at least one of the first MSL data and the second MSL data comprise MSL-captured data.

8. The distributed customer relation management system of claim 1, wherein at least one of the first MSL data and the second MSL data comprise at least one of MTL interaction activity data and business outcome achieved data.

9. The distributed customer relation management system of claim 1 wherein:

a. the processing system defines a plurality of business outcome attributes corresponding to desired business outcomes;

b. at least one of the first MSL data and the second MSL data comprise an attribute value for each identified business outcome attribute for each of a plurality of individual MTLs; and

c. the processing system assigns a relative weight to each of the business outcome attributes

10. The distributed customer relation management system of claim 9 wherein at least one of the business outcome attributes is selected from the group consisting of a magnitude of clinical investigations, a magnitude of commercial potential, a frequency of publications, and a frequency of presentations.

11. The distributed customer relation management system of claim 1 wherein the processing system manages customer interaction activities of MTLs with MSLs.

12. The distributed customer relation management system of claim 11 wherein:

a. the processing system identifies one or more desired business outcomes;

b. the processing system identifies at least one activity attribute of customer interaction activity to be performed by the MTL;

c. at least one of the first MSL data and the second MSL data comprise data regarding customer interaction activity of the MSL for a predetermined time period;

d. at least one of the first MSL data and the second MSL data comprise data regarding the business outcomes achieved or not achieved during the predetermined time period; and

e. the processing system correlates the customer interaction activity data and the business outcome data.

13. A system for managing customer interaction activities of medical liaison personnel of a sponsor organization with health professional customers to achieve one or more desired business outcomes, the system comprising:

a. a customer relation database;

b. means for defining one or more activity attributes of customer interaction activity to be performed by the medical liaison personnel associated with the customer relation database;

c. means for recording data regarding customer interaction activity of the medical liaison personnel for a predetermined time period into the customer relation database;

d. means for recording data regarding the business outcomes achieved or not achieved during the predetermined time period into the customer relation database; and

e. means for correlating the customer interaction activity data and the business outcome data.

14. The system of claim 13 wherein at least one of the desired business outcomes is an activity by the customer selected from the group consisting of publishing of a medical article, conducting a clinical investigation, attending a formular meeting, speaking on a medical topic, and prescribing a pharmaceutical product to a predetermined level.

15. The system of claim 13 wherein at least one of the activity attributes is selected from the group consisting of facilitating the ability of a customer to utilize a sponsor product, improving a customer'"'"'s disease management practice, exchanging scientific information with a customer, coaching a customer for a presentation, interacting with a customer on a social basis, facilitating interactions between customers, and investigating potential clinical investigation sites.

16. The system of any one of claim 13 wherein the recorded customer interaction data corresponds to time, frequency, duration or sequence data for customer interaction activities.

17. A method of facilitating a desired business outcome of a sponsor organization, comprising:

a. identifying and recording in a database stored on a computer-readable media a past business interaction having a past business outcome at least similar to the desired business outcome; and

b. identifying and recording in a database on a computer-readable media a plurality of customer-relations values each corresponding to one of a plurality of customer-relations attributes associated with the past business interaction.

18. The method of claim 17 wherein each of the customer-relations attributes is defined as one of interaction date, name, activity type, duration of interaction, and business outcome type.

19. The method of claim 18 wherein identifying the past business interaction comprises querying a database with at least one of MSL, MTL, business outcome type, and activity type.

20. The method of claim 18 wherein identifying the past business interaction comprises identifying a past interaction having an outcome value representative of at least one of a favorable past business outcome and an unfavorable past business outcome, the past business interaction having a past business outcome equal to the desired business outcome.