Patents by Inventor Elena Koshkina

Elena Koshkina 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: 10628047
    Abstract: Disclosed is a method for minimizing computational resources when copying data. The method includes: receiving a first set of data from a first data source including portions (a) used to compute a well-being scoring, and (b) not used to compute the well-being scoring; copying non-numerical data items included in the portion used to compute the well-being scoring to an aggregate data structure; and, for each numerical data item in the portion used to compute the well-being scoring: assigning a first data type to the numerical data item if it complies with the first data type, otherwise assigning a second data type to the numerical data item, where the first data type uses less bytes than the second data type, and copying, by the processor, the numerical data item to the aggregate data structure, wherein the well-being scoring is calculated for the member based on the aggregate data structure.
    Type: Grant
    Filed: June 1, 2018
    Date of Patent: April 21, 2020
    Assignee: Aetna Inc.
    Inventors: Kay D. Mooney, Phillip J. Lerner, Shawn Moore, Karen Ryan, Amy Kruse, Susan Salerno, Paul Mendelowitz, Madhavi Vemireddy, Elena Koshkina, Derek Jackson, Amanda Widmaier, Pritesh Motipara, Bridget K. McCabe, Eileen McNeely, Tyler Vanderweele
  • Publication number: 20180349027
    Abstract: Disclosed is a method for minimizing computational resources when copying data. The method includes: receiving a first set of data from a first data source including portions (a) used to compute a well-being scoring, and (b) not used to compute the well-being scoring; copying non-numerical data items included in the portion used to compute the well-being scoring to an aggregate data structure; and, for each numerical data item in the portion used to compute the well-being scoring: assigning a first data type to the numerical data item if it complies with the first data type, otherwise assigning a second data type to the numerical data item, where the first data type uses less bytes than the second data type, and copying, by the processor, the numerical data item to the aggregate data structure, wherein the well-being scoring is calculated for the member based on the aggregate data structure.
    Type: Application
    Filed: June 1, 2018
    Publication date: December 6, 2018
    Inventors: Kay D. Mooney, Phillip J. Lerner, Shawn Moore, Karen Ryan, Amy Kruse, Susan Salerno, Paul Mendelowitz, Madhavi Vemireddy, Elena Koshkina, Derek Jackson, Amanda Widmaier, Pritesh Motipara, Bridget K. McCabe, Eileen McNeely, Tyler Vanderweele