CLAIMS DATA ANALYSIS

• US 20130024338A1
• Filed: 07/20/2011
• Published: 01/24/2013
• Est. Priority Date: 07/20/2011
• Status: Abandoned Application

• Current Assignee: Bank of America Corp.
• Original Assignee: Bank of America Corp.
• Inventors: NIELSON, BRETT A., UMAMAHESWARAN, RANGARAJAN
• Application Number:
  US13/186,578
• Publication Number:
  US 20130024338A1
• Time in Patent Office: Days
• US Class Current: 705/35
• CPC Class Codes: G06Q 30/0185 Product, service or business identity fraud
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety

Abstract

Embodiments of the invention provide for claims data analysis. The methods, apparatus and computer program products provide for receiving claims data pertaining to an abnormal event related to at least one customer account held at an entity and determining which individuals associated with the entity interacted with the customer accounts in the claims data. In addition, several embodiments described herein contemplate analysis of additional information associated with each claim to detect relationships amongst and between claims, customer accounts, and individuals who interacted with customer accounts that are the subject of claims. In such embodiments, investigation of claims may be targeted and allow for a more efficient identification of potentially culpable individuals and rapid exoneration of innocent individuals.

Claims

1. A method for claims data analysis, the method comprising:

receiving, via a computing device, claims data, wherein the claims data comprises a plurality of claims, each claim pertaining to an abnormal event related to at least one customer account held at an entity;

determining, via a computing device processor, which individuals associated with the entity interacted with the customer accounts in the claims data during a predetermined time period prior to the abnormal event or notification of the abnormal event; and

providing, via a computing device processor, for a suspect list that includes the individuals determined to have interacted with a customer account in the claims data.

2. The method of claim 1 further comprising:

examining via a computing device processor an attribute set associated with a claim; and

determining via a computing device processor whether a relationship exists between the attribute set associated with the claim and an individual determined to have interacted with a customer account in the claims data.

3. The method of claim 2 further comprising:

in response to determining via a computing device processor that a relationship exists between the attribute set associated with the claim and an individual determined to have interacted with a customer account in the claims data, referring the individual for investigation.

4. The method of claim 2 wherein the attribute set comprises a name of a customer associated with a claim.

5. The method of claim 2 wherein the attribute set comprises a geographic area.

6. The method of claim 2 wherein the attribute set comprises a distance between a location associated a first claim and a location associated with a second claim.

7. The method of claim 2 wherein the attribute set comprises a period of time.

8. The method of claim 2 wherein the attribute set comprises a time of day.

9. The method of claim 2 wherein the attribute set comprises a job title associated with a customer.

10. The method of claim 2 wherein the attribute set comprises a set of banking information.

11. The method of claim 10 wherein the set of banking information comprises at least one piece of information selected from the group including:

a bank name, a bank branch identification number, an employee name, a check number, and a bank routing number.

12. The method of claim 2 wherein the attribute set comprises demographic information associated with a customer.

13. An apparatus for analyzing a customer claim, the apparatus comprising:

a computing device comprising a memory and at least one processor; and

a claims data analysis application stored in the memory, executable by the processor, and configured to;

receive claims data, wherein the claims data comprises a plurality of claims, each claim pertaining to an abnormal event related to at least one customer account held at an entity;

determine which individuals associated with the entity interacted with the customer accounts in the claims data during a predetermined time period prior to the abnormal event or notification of the abnormal event; and

provide for a suspect list that includes the individuals determined to have interacted with a customer account in the claims data.

14. The apparatus of claim 13 wherein the claims data analysis application is further configured to:

examine an attribute set associated with a claim; and

determine whether a relationship exists between the attribute set associated with the claim and an individual determined to have interacted with a customer account in the claims data.

15. The apparatus of claim 14 wherein the claims data analysis application is further configured to:

in response to determining that a relationship exists between the attribute set associated with the claim and an individual determined to have interacted with a customer account in the claims data, refer the individual for investigation.

16. The apparatus of claim 14 wherein the attribute set comprises at least one attribute selected from the group including:

a name of a customer associated with a claim, a geographic area, a distance between a location associated a first claim and a location associated with a second claim, a period of time, a time of day, a job title associated with a customer, a set of banking information, and demographic information associated with a customer.

17. The apparatus of claim 16 wherein the set of banking information comprises at least one piece of information selected from the group including:

a bank name, a bank branch identification number, an employee name, a check number, and a bank routing number.

18. A computer program product comprising:

a non-transitory computer-readable medium comprising;

a first set of codes for causing a computer processor to be configured for receiving claims data, wherein the claims data comprises a plurality of claims, each claim pertaining to an abnormal event related to at least one customer account held at an entity;

a second set of codes for causing a computer processor to be configured for determining which individuals associated with the entity interacted with the customer accounts in the claims data during a predetermined time period prior to the abnormal event or notification of the abnormal event; and

a third set of codes for causing a computer processor to be configured for providing for a suspect list that includes the individuals determined to have interacted with a customer account in the claims data.

19. The computer program product of claim 18 further comprising:

a fourth set of codes for causing a computer processor to be configured for examining an attribute set associated with a claim; and

a fifth set of codes for causing a computer processor to be configured for determining whether a relationship exists between the attribute set associated with the claim and an individual determined to have interacted with a customer account in the claims data.

20. The computer program product of claim 19 further comprising:

a sixth set of codes for causing a computer processor to be configured for, in response to determining that a relationship exists between the attribute set associated with the claim and an individual determined to have interacted with a customer account in the claims data, referring the individual for investigation.

21. The computer program product of claim 19 wherein the attribute set comprises at least one attribute selected from the group including:

a name of a customer associated with a claim, a geographic area, a distance between a location associated a first claim and a location associated with a second claim, a period of time, a time of day, a job title associated with a customer, a set of banking information, and demographic information associated with a customer.

22. The computer program product of claim 21 wherein the set of banking information comprises at least one piece of information selected from the group including:

a bank name, a bank branch identification number, an employee name, a check number, and a bank routing number.