SYSTEMS AND METHODS FOR DETECTING DIVERSION IN DRUG DISPENSING

• US 20110161108A1
• Filed: 12/30/2009
• Published: 06/30/2011
• Est. Priority Date: 12/30/2009
• Status: Abandoned Application

• Current Assignee: Omnicell Incorporated
• Original Assignee: McKesson Automation Incorporated (Omnicell Inc)
• Inventors: Kaper, William, Brewster, John, MILLER, George Brad
• Application Number:
  US12/650,105
• Publication Number:
  US 20110161108A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/0185 Product, service or business identity fraud
• CPC Class Codes: G16H 20/13 delivered from dispensers
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Systems and methods for detecting diversion in drug dispensing transactions are provided. The systems and methods described provide an integrated platform for collecting and analyzing data that describes a user'"'"'s drug dispensing transactions and determines a diversion score for the user that indicates the relative severity of the user'"'"'s diversion activities. The diversion score may be weighted to reflect the relative importance of a respective category of diversion activity to the identification of drug diverters with respect to other categories. Furthermore, in determining a user'"'"'s diversion score, the user'"'"'s transaction data may be compared with transaction data regarding the user'"'"'s peers. In this way, for example, high diversion scores may indicate a high occurrence of suspicious activity, and users having high diversion scores may be further monitored and investigated to determine whether the particular user is indeed diverting drugs for illegitimate use.

Claims

1. A method of detecting diversion in drug dispensing transactions comprising:

receiving transaction data regarding at least one drug dispensing transaction for a plurality of users;

calculating a raw score for at least one category of diversion activity using the data; and

determining a diversion score at least partially based on the raw score modified in a way that reflects a relative severity of the diversion activity.

2. The method of claim 1, receiving transaction data comprises communicating with and receiving the data from a plurality of drug dispensing stations.

3. The method of claim 1, wherein determining the diversion score comprises comparing the user'"'"'s transaction data with the transaction data received for the user'"'"'s peers to calculate a variance.

4. The method of claim 1, wherein determining the diversion score comprises modifying the raw score independently of the transaction data received for the user'"'"'s peers.

5. The method of claim 1, wherein determining the diversion score comprises weighting the raw score to reflect the relative importance of the respective category to the identification of drug diverters with respect to other categories.

6. The method of claim 5 further comprising determining a total diversion score representing a sum of the diversion scores for each category of diversion activity.

7. The method of claim 6 further comprising generating a report providing the diversion score or the total diversion score for at least one of the plurality of users.

8. The method of claim 1 further comprising providing an alert when a particular user achieves a predetermined diversion score.

9. The method of claim 1 further comprising determining a number of problem areas for a particular user based on the user'"'"'s diversion score, wherein the number of problem area reflects the number of categories of diversion activity across all drugs dispensed for which the user has a diversion score bearing a preset relationship to a predetermined value.

10. The method of claim 9 further comprising providing an alert when a particular user attains a predetermined number of problem areas.

11. A method of detecting diversion in drug dispensing transactions comprising:

displaying a list identifying a plurality of users, wherein each user is a dispenser of drugs;

displaying a calculated diversion score for each user; and

displaying the number of problem areas for each user based on the diversion score, wherein the number of problem areas reflects the number of categories of diversion activity across all drugs dispensed for which the user has a diversion score bearing a preset relationship to a predetermined value,

wherein the diversion score reflects a relative severity of diversion activity.

12. The method of claim 11 further comprising providing for the selection of a particular user from the displayed users, and displaying details regarding the diversion score and the problem areas for the selected user.

13. The method of claim 12, wherein the details displayed include at least one of the categories of diversion activities, the diversion score for each category of diversion activities, the number of problem areas for each category of diversion activities, and the user'"'"'s diversion activity as compared to the user'"'"'s peers.

14. The method of claim 11, wherein displaying the user, the diversion scores, and the problem areas comprises presenting the user, the diversion scores, and the problem areas in at least one format selected from the group consisting of a graphical representation and a tabular representation.

15. The method of claim 11, wherein displaying the diversion score comprises calculating a raw score for at least one category of diversion activity using transaction data regarding at least one drug dispensing transaction received for a plurality of users and weighting the raw score to reflect the relative importance of the respective category to the identification of drug diverters with respect to other categories.

16. A computer program product comprising at least one computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:

a first executable portion configured for receiving transaction data regarding at least one drug dispensing transaction for a plurality of users;

a second executable portion configured for calculating a raw score for at least one category of diversion activity using the transaction data; and

a third executable portion configured for determining a diversion score at least partially based on the raw score modified in a way that reflects a relative severity of the diversion activity.

17. The computer program product of claim 16, wherein the second executable portion is further configured for comparing the user'"'"'s transaction data with transaction data received for the user'"'"'s peers to calculate a variance.

18. The computer program product of claim 16, wherein the second executable portion is further configured for modifying the raw score independently of the transaction data received for the user'"'"'s peers.

19. The computer program product of claim 16, wherein the third executable portion is further configured for weighting the raw score to reflect the relative importance of the respective category to the identification of drug diverters with respect to other categories.

20. The computer program product of claim 16 further comprising a fourth executable portion configured for generating a report providing the diversion score for at least one of the plurality of users and at least one of the at least one categories of diversion activity.

21. The computer program product of claim 16 further comprising a fourth executable portion configured for determining a number of problem areas for a particular user based on the user'"'"'s diversion score, wherein the number of problem areas reflects the number of categories of diversion activities across all drugs dispensed for which the user has a diversion score bearing a preset relationship to a predetermined value.