Fraud potential indicator graphical interface

• US 20050097051A1
• Filed: 11/05/2003
• Published: 05/05/2005
• Est. Priority Date: 11/05/2003
• Status: Abandoned Application

• Current Assignee: Computer Science Corporation
• Original Assignee: Computer Science Corporation
• Inventors: Rogers, James Lewis, Madill, Robert P. Jr., Barger, Thomas Glenn, Thabani Mtshali, Progress Qhaqhi
• Application Number:
  US10/702,094
• Publication Number:
  US 20050097051A1
• Time in Patent Office: Days
• US Class Current: 705/50
• CPC Class Codes: G06Q 20/04 Payment circuits
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing
• CPC Class Codes: G06Q 20/403 Solvency checks
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G07G 3/003 Anti-theft control theft alarms G08B13/00

Abstract

Methods and systems are provided for displaying a fraud potential indicator graphical interface. In some embodiments, at least two fraud potential indicators may be displayed for at least two fraud potential detection techniques for business transactions. In some embodiments, fraud potential indicators may be used to rank the business transactions in order of fraud potential. Business transactions and their fraud potential indicators may be selected to display additional information about the business transaction or fraud potential indicator selected. For example, a fraud potential indicator may be selected to display information about the fraud potential detection technique that assessed the selected fraud potential indicator. In some embodiments, tabs may be selected to display additional information and/or organized lists of business transactions and fraud potential indicators.

Claims

1-65. -65. (canceled).

66. A method, comprising:

providing at least two fraud potential indicators for at least one request, wherein at least two fraud potential indicators are assessed using at least two fraud potential detection techniques; and

displaying at least two fraud potential indicators in a graphical user interface.

67. The method of claim 66, wherein clicking on at least one fraud potential indicator for the at least one request will display information about the at least one request.

68. The method of claim 66, further comprising displaying information in the graphical user interface, wherein information displayed in the graphical user interface for the request comprises at least one of:

a name;

an office;

a number assigned to the request;

a request date; and

a score date.

69. The method of claim 66, wherein at least one request is an insurance claim, and at least one insurance claim is organized into lists according to at least two of referred claims, assigned claims, or rejected claims, and wherein selecting a graphical component respective to at least one of a referred claims, assigned claims, or rejected claims brings up a list of claims in the corresponding list.

70. The method of claim 66, further comprising changing a criteria about which claims to display by selecting a filter graphical component.

71. The method of claim 66, further comprising assigning at least one request by selecting an assigned graphical component.

72. The method of claim 66, further comprising rejecting at least one request by selecting a reject graphical component.

73. The method of claim 66, wherein at least one fraud potential detection technique comprises predictive modeling.

74. The method of claim 66, wherein at least one fraud potential detection technique comprises at least one identity search of insurance claim data.

75. The method of claim 66, wherein at least one fraud potential detection technique comprises assessing request data using at least one business rule.

76. A system configured to estimate liability, comprising:

a CPU; and

a memory coupled to the CPU, wherein the memory is configured to store at least one computer program executable by the CPU, and wherein at least one computer program is executable to;

access at least two fraud potential indicators for at least one request from the memory, wherein at least two fraud potential indicators are assessed using at least two different fraud potential detection techniques; and

display at least two fraud potential indicators in a graphical user interface coupled to the CPU.

77. The system of claim 76, wherein at least one fraud potential detection technique comprises predictive modeling.

78. The system of claim 76, wherein at least one fraud potential detection technique comprises at least one identity search of insurance claim data.

79. The system of claim 76, wherein at least one fraud potential detection technique comprises assessing the probability of fraud in request data using at least one business rule.

80. A carrier medium comprising program instructions, wherein the program instructions are computer-executable to implement a method comprising:

accessing at least two fraud potential indicators for an insurance claim, wherein at least two fraud potential indicators are assessed using at least two different fraud potential detection techniques; and

displaying at least two fraud potential indicators in a graphical user interface.

81. The carrier medium of claim 80, wherein at least one fraud potential detection technique comprises predictive modeling.

82. The carrier medium of claim 80, wherein at least one fraud potential detection technique comprises at least one identity search of insurance claim data.

83. The carrier medium of claim 80, wherein at least one fraud potential detection technique comprises assessing request data using at least one business rule.

84. A method, comprising:

providing at least two fraud potential indicators for at least one request; and

assigning a probability of fraud to at least one request based on at least one fraud potential indicator, wherein a probability of fraud of the at least one request comprises a rank of at least one fraud potential indicator of the at least one request relative to fraud potential indicators of another request.

85-100. -100. (canceled).

101. A method, comprising:

assessing at least two fraud potential indicators for an insurance claim using at least two of an identity search engine, a predictive model engine, or a business rule engine; and

configuring administrative information for a system to assess at least two fraud potential indicators for an insurance claim.

102-112. -112. (canceled)

113. A method, comprising:

assessing at least two fraud potential indicators for an insurance claim using at least two of an identity search engine, a predictive model engine, or a business rule engine;

displaying information about an insurance claim including identifying information for the claim and the at least two fraud potential indicators for the insurance claim; and

displaying at least one tab, wherein selecting the at least one tab displays information related to the claims associated with a reference on the at least one tab selected.

114-133. -133. (canceled)

134. A method, comprising:

assessing at least two fraud potential indicators for an insurance claim using at least two of an identity search engine, a predictive model engine, or a business rule engine;

displaying information about an insurance claim including identifying information for the claim and the at least two fraud potential indicators for the insurance claim; and

displaying engine summary information related to at least one engine used to assign at least one of the at least two fraud potential indicators.

135-145. -145. (canceled).

146. A method, comprising:

assessing at least two fraud potential indicators for an insurance claim using at least two of an identity search engine, a predictive model engine, or a business rule engine;

displaying information about an insurance claim including identifying information for the claim and the at least two fraud potential indicators for the insurance claim; and

displaying summary information related to an involved entity related to at least one assigned fraud potential indicator.

147-157. -157. (canceled).