Resumes
Resumes
Kim Rojewski Phones & Addresses
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105 Fieldstone Dr, Windsor, CT 06095 (860) 285-8378
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214 Goss Hill Rd, Huntington, MA 01050 (413) 667-5261
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Westfield, MA
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Leominster, MA
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48 Clairmont Ave, Chicopee, MA 01013
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Manchester, CT
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Spencer, MA
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214 Goss Hill Rd, Huntington, MA 01050 (413) 537-4021
Work
Position:
Precision Production Occupations
Education
Degree:
Graduate or professional degree
Publications
Us Patents
Method And System For Identifying Subrogation Potential And Valuing A Subrogation File
View pageUS Patent:
20070288273, Dec 13, 2007
Filed:
Aug 3, 2007
Appl. No.:
11/888931
Inventors:
Marcia Rojewski - Windsor CT, US
Don Pierce - Enfield CT, US
Alan Aleia - Glastonbury CT, US
David Jeffrey - Cheshire CT, US
Lisa Rojewski - Windsor CT, US
Kim Rojewski - Westfield MA, US
Chu-Chen Pai - Vernon CT, US
Don Pierce - Enfield CT, US
Alan Aleia - Glastonbury CT, US
David Jeffrey - Cheshire CT, US
Lisa Rojewski - Windsor CT, US
Kim Rojewski - Westfield MA, US
Chu-Chen Pai - Vernon CT, US
International Classification:
G06Q 40/00
US Classification:
705004000
Abstract:
A method for identifying select ones of insurance records which possess a favorable subrogation potential. The method includes receiving data indicative of a plurality of claims; automatically calculating a base score to identify select ones of the claims which demonstrate at least a given probability of expected subrogation recovery dependently upon the received data; automatically identifying risk factors for each of the select claims; and, automatically scoring each of the select claims dependently upon the base scores and identified risk factors to provide a value indicative of an expected subrogation recovery.
Method And System For Identifying Subrogation Potential And Valuing A Subrogation File
View pageUS Patent:
7343308, Mar 11, 2008
Filed:
Sep 29, 2000
Appl. No.:
09/676391
Inventors:
Marcia Rojewski - Windsor CT, US
Don Pierce - Enfield CT, US
Alan Aleia - Glastonbury CT, US
David Jeffrey - Cheshire CT, US
Lisa Rojewski - Windsor CT, US
Kim Rojewski - Westfield MA, US
Chun-Chen Pai - Vernon CT, US
Don Pierce - Enfield CT, US
Alan Aleia - Glastonbury CT, US
David Jeffrey - Cheshire CT, US
Lisa Rojewski - Windsor CT, US
Kim Rojewski - Westfield MA, US
Chun-Chen Pai - Vernon CT, US
Assignee:
Hartford Fire Insurance Compnay - Hartford CT
International Classification:
G06Q 40/00
US Classification:
705 4, 705 8
Abstract:
A method for identifying select ones of insurance records which possess a favorable subrogation potential. The method includes receiving data indicative of a plurality of claims; automatically calculating a base score to identify select ones of the claims which demonstrate at least a given probability of expected subrogation recovery dependently upon the received data; automatically identifying risk factors for each of the select claims; and, automatically scoring each of the select claims dependently upon the base scores and identified risk factors to provide a value indicative of an expected subrogation recovery.
Method And System For Processing Data Relating To Determining Subrogation Recovery
View pageUS Patent:
20140229206, Aug 14, 2014
Filed:
Apr 22, 2014
Appl. No.:
14/258623
Inventors:
- Hartford CT, US
Don Pierce - Enfield CT, US
Alan Aleia - Glastonbury CT, US
David Jeffrey - Cheshire CT, US
Lisa Rojewski - Windsor CT, US
Kim Rojewski - Westfield MA, US
Chu-Chen Pai - Vernon CT, US
Don Pierce - Enfield CT, US
Alan Aleia - Glastonbury CT, US
David Jeffrey - Cheshire CT, US
Lisa Rojewski - Windsor CT, US
Kim Rojewski - Westfield MA, US
Chu-Chen Pai - Vernon CT, US
Assignee:
Hartford Fire Insurance Company - Hartford CT
International Classification:
G06Q 40/08
US Classification:
705 4
Abstract:
A method for identifying select ones of insurance records which possess a favorable subrogation potential. The method includes receiving data indicative of a plurality of claims; automatically calculating a base score to identify select ones of the claims which demonstrate at least a given probability of expected subrogation recovery dependently upon the received data; automatically identifying risk factors for each of the select claims; and, automatically scoring each of the select claims dependently upon the base scores and identified risk factors to provide a value indicative of an expected subrogation recovery.