Patents

February 18, 2014 - Commercial Insurance Scoring System and Method – Patent Number US 8,655,687 - Click for Patent

EXPANDED - A quantitative system and method that employs data sources external to an insurance company to generate a statistical model that may be used to predict commercial insurance profitability. The system and method are able to predict individual commercial insurance policyholder profitability on a prospective basis regardless of the internal data and business practices of a particular insurance company.

December 18, 2012 - Licensed Professional Scoring System and Method – Patent Number US 8,335,700 - Click for Patent

EXPANDED - A quantitative system and method that utilizes data sources external to a company, and when available, traditional data sources, e.g., internal company information, to (i) provide for matching criteria such as, for example, demographic needs, to a database that can provide a number of potential recruits or customers and that can also be used to screen both current and prospective company employees matching the criteria, and (ii) generate a statistical model that can be used to predict future profitability and productivity of licensed professionals.

June 12, 2012 - Method and System for Determining the Importance of Individual Variables in a Statistical Model – Patent Number US 8,200,511 - Click for Patent

A method and system for determining the importance of each of the variables that contribute to the overall score of a model for predicting the profitability of an insurance policy. For each variable in the model, an importance is calculated based on the calculated slope and deviance of the predictive variable. Since the score is developed using complex mathematical calculations combining large numbers of parameters with predictive variables, it is often difficult to interpret from the mathematical formula for example, why some policyholders receive low scores while other receive high scores. Such clear communication and interpretation of insurance profitability scores is critical if they are used by the various interested insurance parties including policyholders, agents, underwriters, and regulators.

March 27, 2012 - Commercial Insurance Scoring System and Method – Patent Number US 8,145,507 - Click for Patent

A quantitative system and method that employs data sources external to an insurance company to generate a statistical model that may be used to more accurately and consistently predict commercial insurance profitability (the "predictive statistical model"). The system and method are able to predict individual commercial insurance policyholder profitability on a prospective basis regardless of the internal data and business practices of a particular insurance company.

October 11, 2011 - Licensed Professional Scoring System and Method – Patent Number US 8,036,919 - Click for Patent

A quantitative system and method that utilizes data sources external to a company, and when available, traditional data sources, e.g., internal company information, to (i) provide an easily accessible means for matching criteria such as, for example, demographic needs, to a database that can quickly provide a number of potential recruits or customers and that can also be used to screen both current and prospective company employees matching the criteria, and (ii) generate a statistical model that can be used to accurately and consistently predict future profitability and productivity of licensed professionals.

Pending Patents

July 24, 2013 - Fraud detection methods and systems - Click for Patent

An unsupervised statistical analytics approach to detecting fraud utilizes cluster analysis to identify specific clusters of claims or transactions for additional investigation, or utilizes association rules as tripwires to identify outliers. The clusters or sets of rules define a "normal" profile for the claims or transactions used to filter out normal claims, leaving "not normal" claims for potential investigation. To generate clusters or association rules, data relating to a sample set of claims or transactions may be obtained, and a set of variables used to discover patterns in the data that indicate a normal profile. New claims may be filtered, and not normal claims analyzed further. Alternatively, patterns for both a normal profile and an anomalous profile may be discovered, and a new claim filtered by the normal filter. If the claim is "not normal" it may be further filtered to detect potential fraud.

September 9, 2005- Method and system for estimating insurance loss reserves and confidence intervals using insurance policy and claim level detail predictive modeling - Click for Patent

A computerized system and method for estimating insurance loss reserves and confidence intervals using insurance policy and claim level detail predictive modeling. Predictive models are applied to historical loss, premium and other insurer data, as well as external data, at the level of policy detail to predict ultimate losses and allocated loss adjustment expenses for a group of policies. From the aggregate of such ultimate losses, paid losses to date are subtracted to derive an estimate of loss reserves. Dynamic changes in a group of policies can be detected enabling evaluation of their impact on loss reserves. In addition, confidence intervals around the estimates can be estimated by sampling the policy-by-policy estimates of ultimate losses.


© John Lucker 2021