Patents by Inventor Christopher LAWS

Christopher LAWS has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11410132
    Abstract: Systems and methods for administering a workers' compensation (WC) claim include a non-transitory, tangible computer-readable storage medium including a WC claim processing program bearing instructions for performing a settlement strategy for WC claims. A processor is configured to execute the WC claim processing program. The WC claim processing program includes a Cost of Waiting (COW) calculating module configured to calculate a COW for a predetermined period of time after an Arrival of a Settlement Opportunity (ASO) of each of the population of seasoned WC claims using the seasoned WC claim financial data and a machine learning module configured to conduct a regression analysis of the population of seasoned WC claims to determine a WC claim characteristic comprising an adversely-developing predictor that the COW of an open WC claim will more likely develop adversely when the corresponding WC claim characteristic data of the open WC claim matches the adversely-developing predictor.
    Type: Grant
    Filed: August 3, 2015
    Date of Patent: August 9, 2022
    Assignee: AMERICAN INTERNATIONAL GROUP, INC.
    Inventors: Frank Schmid, Christopher Laws
  • Publication number: 20170039526
    Abstract: Systems and methods for administering a workers' compensation (WC) claim include a non-transitory, tangible computer-readable storage medium including a WC claim processing program bearing instructions for performing a settlement strategy for WC claims. A processor is configured to execute the WC claim processing program. The WC claim processing program includes a Cost of Waiting (COW) calculating module configured to calculate a COW for a predetermined period of time after an Arrival of a Settlement Opportunity (ASO) of each of the population of seasoned WC claims using the seasoned WC claim financial data and a machine learning module configured to conduct a regression analysis of the population of seasoned WC claims to determine a WC claim characteristic comprising an adversely-developing predictor that the COW of an open WC claim will more likely develop adversely when the corresponding WC claim characteristic data of the open WC claim matches the adversely-developing predictor.
    Type: Application
    Filed: August 3, 2015
    Publication date: February 9, 2017
    Inventors: Frank SCHMID, Christopher LAWS