Robert D. Morse - Cota de Caza CA, US Gerald L. Conrad - Cota de Caza CA, US Linda Goodwin - Concord NC, US Loren S. Kane - Matthews NC, US Harry W. Clark - Ridgefield CT, US
Assignee:
Quantitative Data Solutions, LLC - Rosemont IL
International Classification:
G06Q 40/00 G06Q 50/00 G06Q 10/00
US Classification:
705 4, 705 2, 705 3
Abstract:
The systems and methods described herein may automate insurance underwriting by integrating information from multiple online databases and creating decision making advice useful to insurance underwriters. One system includes a client, database, and server. The client allows an underwriter to enter applicant information, enter customized risk modifiers, and receive an underwriting decision. The database provides additional applicant information. This information can include one or more of prescription drug history, credit history, motor vehicle records, and geocentric mortality risk. The server obtains the applicant information, calculates the applicant's risk, and makes an underwriting decision. Another system calculates a prescription drug risk for an applicant from pharmacy benefits management data, drug risk category data, and application data. Another system calculates a geocentric mortality risk for an applicant from census data, mortality data, credit information, and application data.
Gerald L. Conrad - Cota de Caza CA, US Linda Goodwin - Concord NC, US Loren S Kane - Matthews NC, US Harry W. Clark - Ridgefield CT, US
Assignee:
Quantitative Data Solutions, LLC - Rosemont IL
International Classification:
G06F 19/00
US Classification:
705 2, 705 4
Abstract:
The systems and methods described herein may automate insurance underwriting by integrating information from multiple online databases and creating decision making advice useful to insurance underwriters. One system includes a client, database, and server. The client allows an underwriter to enter applicant information, enter customized risk modifiers, and receive an underwriting decision. The database provides additional applicant information. This information can include one or more of prescription drug history, credit history, motor vehicle records, and geocentric mortality risk. The server obtains the applicant information, calculates the applicant's risk, and makes an underwriting decision. Another system calculates a prescription drug risk for an applicant from pharmacy benefits management data, drug risk category data, and application data. Another system calculates a geocentric mortality risk for an applicant from census data, mortality data, credit information, and application data. Preset external modifiers are added to systems and methods of calculating risk in order to allow the underwriter to customize the risk results.
Robert D. Morse - Cota de Caza CA, US Gerald L. Conrad - Cota de Caza CA, US Linda Goodwin - Concord NC, US Loren S. Kane - Matthews NC, US Harry W. Clark - Ridgefield CT, US
Assignee:
Quantitative Data Solutions, Inc. - Rosemont IL
International Classification:
G06Q 40/00
US Classification:
705 4, 705 3, 705 2
Abstract:
Embodiments of the present invention relate to systems and methods for automating insurance underwriting by integrating information from multiple online databases and creating decision making advice useful to insurance underwriters. One system includes a client, database, and server. The client allows an underwriter to enter applicant information, enter customized risk modifiers, and receive an underwriting decision. The database provides additional applicant information. This information can include one or more of prescription drug history, credit history, motor vehicle records, and geocentric mortality risk. The server obtains the applicant information, calculates the applicant's risk, makes an underwriting decision. Another system calculates a prescription drug risk for an applicant from pharmacy benefits management data, drug risk category data, and application data. Another system calculates a geocentric mortality risk for an applicant from census data, mortality data, credit information, and application data.
Medicine Doctors
Dr. Loren S Kane, Charlotte NC - MD (Doctor of Medicine)
Dr. Kane graduated from the University of Buffalo, SUNY School of Medicine and Biomedical Sciences in 1997. He works in Matthews, NC and specializes in Internal Medicine.
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Loren Kane 1986 graduate of Bishop Union High School in Bishop, CA is on Classmates.com. See pictures, plan your class reunion and get caught up with Loren and other high school ...