Hartford Fire Insurance Compnay

Jonathan Kaleb Adams

Joseph D Pagano

John Albert McGoldrick

Ryan A Gawel

James Dominic Ruotolo

Kelly J McLaughlin

Carmen L Sharp

Christopher D Rice

A computer system includes a data storage module which receives, stores, and provides access to determinate data, raw indeterminate data, and extracted indeterminate data captured by an indeterminate data capture module. The computer system also includes a computer processor, a model training component, and a screening module. The model training component generates the predictive model based upon historical determinate and indeterminate data, and continuously adapts the predictive model with new historical data. The screening module categorizes current claims according to whether they are suitable for predictive analysis by the predictive model. The predictive model is applied to the current claims suitable for predictive analysis to determine a value for each claim indicative of whether the current claim transaction is questionable. The system also includes an output device which outputs the determined value for each claim, and a routing modules which routes claim workflow based on the outputted values.

Predictive model-based discriminator

A computer system includes a data storage module. The computer system also includes an indeterminate data capture module. The data storage module receives, stores, and provides access to both determinate data and indeterminate data that was captured by the indeterminate data capture module. The computer system also includes a computer processor and a program memory. The computer processor executes programmed instructions and stores and retrieves the data stored in the data storage module. The data stored in the data storage module is related to historical claim transactions and current claim transactions. A predictive model component is coupled to the data storage module, and determines whether to refer a current claim transaction to an investigation unit. A model training component is coupled to the computer processor and functions to train the predictive model.

Computer system for applying predictive model to determine and indeterminate data

According to some embodiments, historical claim data may be stored in a computer storage unit. The historical claim data may be used to train and verify a predictive model, the predictive model being associated with an evaluation of claim transactions to determine whether to refer each claim transactions to a nurse intervention program. Data for current claim transactions may be processed, and the trained and verified predictive model may be applied to the data for the current claim transactions to generate a respective output for each of the current claim transactions. Some of the current claim transactions may be selectively routed to a case management center associated with the nurse intervention program based on the outputs generated by the predictive model.

Computer system and method for processing data relating to nurse intervention program decisions

A computer receives rating information relating to proposed issuance of an insurance policy endorsement. The rating information relates to a proposed insured that employs a number of employees. The computer processes the rating information to generate a premium amount to be charged for the insurance policy endorsement. The endorsement is then issued. The endorsement may provide reimbursement to the insured for losses incurred by the insured arising from absence from work by one or more of the employees.

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Middletown, CT, United States of America

Jonathan Kaleb Adams