Patents by Inventor Alex Barclay

Alex Barclay 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).

  • COMPUTER READABLE STORAGE MEDIA FOR UTILIZING DERIVED MEDICAL RECORDS AND METHODS AND SYSTEMS FOR SAME
    Publication number: 20150332003
    Abstract: Disclosed embodiments include methods and systems for creating and utilizing derived medical records. In accordance with one or more embodiments, a derived medical record system may utilize one or more derived medical records to improve insight into patient health, identify future risk factors, and improve claim processing efficiency. In some examples, the derived medical record system may further provide derived medical records based on healthcare data stored in structured and unstructured data sources.
    Type: Application
    Filed: May 15, 2015
    Publication date: November 19, 2015
    Inventors: Patrick Stamm, Alex Barclay, Chris Melvin, Susan Hines
  • Self-learning real-time prioritization of fraud control actions
    Patent number: 7457401
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Grant
    Filed: November 27, 2006
    Date of Patent: November 25, 2008
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Self-Learning Real-Time Priorization of Fraud Control Actions
    Publication number: 20070124246
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Application
    Filed: November 27, 2006
    Publication date: May 31, 2007
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Self-learning real-time prioritization of telecommunication fraud control actions
    Patent number: 7158622
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Grant
    Filed: October 20, 2004
    Date of Patent: January 2, 2007
    Assignee: Fair Isaac Corporation
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Self-learning real-time prioritization of telecommunication fraud control actions
    Publication number: 20050084083
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Application
    Filed: October 20, 2004
    Publication date: April 21, 2005
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Self-learning real-time prioritization of telecommunication fraud control actions
    Patent number: 6850606
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Grant
    Filed: January 17, 2003
    Date of Patent: February 1, 2005
    Assignee: Fair Isaac Corporation
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Self-learning real-time prioritization of telecommunication fraud control actions
    Publication number: 20030147516
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Application
    Filed: January 17, 2003
    Publication date: August 7, 2003
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Self-learning real-time prioritization of telecommunication fraud control actions
    Patent number: 6597775
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Grant
    Filed: September 25, 2001
    Date of Patent: July 22, 2003
    Assignee: Fair Isaac Corporation
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi
  • Self-learning real-time prioritization of telecommunication fraud control actions
    Publication number: 20020114435
    Abstract: A predictive model system is used to detect telecommunications fraud. Call records (CDRs) provided by telephone companies are evaluated against specified rules. If one or more rules are matched, the system generates an alert. Pending alerts for a customer form a case, describing the caller's calling patterns. A predictive model determines a score that is predictive of the likelihood that the call involved fraud. Cases are queued for examination by analysts.
    Type: Application
    Filed: September 25, 2001
    Publication date: August 22, 2002
    Inventors: Justin Lawyer, Alex Barclay, Dirk Englund, Robert Holmes, Dimpy Pathria, Tim Roach, Scott Zoldi