Automation of auditing claims

• US 8,073,718 B2
• Filed: 05/29/2009
• Issued: 12/06/2011
• Est. Priority Date: 05/29/2009
• Status: Active Grant

• Current Assignee: HyperQuest, Inc. (Solera Holdings Incorporated)
• Original Assignee: HyperQuest, Inc. (Solera Holdings Incorporated)
• Inventors: Hogan, Dennis M., Hogan, Jeffrey J.
• Primary Examiner(s): Colbert, Ella
• Assistant Examiner(s): Tran, Hai
• Application Number:
  US12/474,472
• Publication Number:
  US 20100305979A1
• Time in Patent Office: 921 Days
• Field of Search: 705/4, 705 15- 45
• US Class Current: 705/4
• CPC Class Codes: G06F 16/258 Data format conversion from or to a database
• CPC Class Codes: G06Q 20/10 specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

Described are computer-based methods and apparatuses, including computer program products, for automation of auditing claims. Data indicative of a vehicle make and model is received, the data comprising one or more make fields and one or more model fields. The one or more model fields are prepared for translation. The one or more make fields are prepared for translation by applying one or more rules from the plurality of rules. Each field of the one or more make fields is associated with one or more make model entries from a plurality of predetermined make model entries. Each field of the one or more model fields is associated with one or more make model entries from the plurality of predetermined make model entries. The data is automatically translated into one or more vehicle identifiers based on the associated make model entries.

Claims

1. A computerized method comprising:

receiving data, via a processor, indicative of a vehicle make and model, the data comprising one or more make fields and one or more model fields;

preparing, using the processor, the one or more model fields for translation by;

applying one or more rules from a plurality of rules; and

associating each field of the one or more model fields with a class from a list of classes;

preparing, using the processor, the one or more make fields for translation by applying one or more rules from the plurality of rules;

associating, using the processor, each field of the one or more make fields with one or more make model entries from a plurality of predetermined make model entries;

associating, using, the processor, each field of the one or more model fields with one or more make model entries from the plurality of predetermined make model entries; and

automatically translating, using the processor, the data into one or more vehicle identifiers based on the associated make model entries,

wherein associating each field of the one or more make fields with one or more make model entries from a plurality of predetermined make model entries comprises;

generating a temporary translation table, wherein each row of the temporary translation table comprises a manufacturer field, a make field, a model superset field, and a model subset field;

identifying a match of a make field of the one or more make fields with a predetermined make model entry; and

populating a row of the temporary translation table with match information.

2. The method of claim 1, wherein identifying a match comprises:

matching each word in a word string of the make field with the predetermined make model entry; and

associating the match with a complete match indicator.

3. The method of claim 1, wherein automatically translating the data into one or more vehicle identifiers based on the associated make model entries comprises:

analyzing the temporary translation table to determine match information for each row; and

translating the data into the one or more vehicle identifiers based on the match information.

4. The method of claim 3, wherein the match information for each row is based on a number of field matches for the row and a match indicator for the row.

5. The method of claim 3 comprising:

determining the temporary translation table comprises one row; and

translating the data into the one or more vehicle identifiers based on the one row.

6. The method of claim 5 comprising:

determining the temporary translation table comprises two or more rows with one or more matches in the model subset field;

calculating a goodness value for each row, wherein the goodness value is based on match information for each row, a number of row matches, or any combination thereof; and

translating the data into the one or more vehicle identifiers based a row with a highest goodness value.