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.

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.

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.