Patents by Inventor Sanjeev Bollam

Sanjeev Bollam 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: 11823276
    Abstract: Embodiments of the disclosure provide a system and method of allocating a resource based on myriad input data. In some embodiments, the myriad input data include membership information, claims data, transactional data, etc. The myriad input data are sorted and organized in a meaningful association relationship before applied to a resource allocation modeling algorithm. The resource allocation modeling algorithm provides estimated resource necessary for the application chosen. For example, an insurance company may use membership information, claims data, transactional data, etc., to estimate how much reserves or funds it should hold to cover future claims within a certain timeframe.
    Type: Grant
    Filed: March 2, 2021
    Date of Patent: November 21, 2023
    Assignee: Aetna Inc.
    Inventors: William R. Jones, Gaurav Sharma, Faisal Khan, Hualiang Li, Yue Xiao, Jingran Li, Jamal Timsah, Ryan T. Berns, Sanjeev Bollam, Radhika G. Athalye
  • Publication number: 20210248683
    Abstract: Embodiments of the disclosure provide a system and method of allocating a resource based on myriad input data. In some embodiments, the myriad input data include membership information, claims data, transactional data, etc. The myriad input data are sorted and organized in a meaningful association relationship before applied to a resource allocation modeling algorithm. The resource allocation modeling algorithm provides estimated resource necessary for the application chosen. For example, an insurance company may use membership information, claims data, transactional data, etc., to estimate how much reserves or funds it should hold to cover future claims within a certain timeframe.
    Type: Application
    Filed: March 2, 2021
    Publication date: August 12, 2021
    Inventors: William R. Jones, Gaurav Sharma, Faisal Khan, Hualiang Li, Yue Xiao, Jingran Li, Jamal Timsah, Ryan T. Berns, Sanjeev Bollam, Radhika G. Athalye
  • Patent number: 10937102
    Abstract: Embodiments of the disclosure provide a system and method of allocating a resource based on myriad input data. In some embodiments, the myriad input data include membership information, claims data, transactional data, etc. The myriad input data are sorted and organized in a meaningful association relationship before applied to a resource allocation modeling algorithm. The resource allocation modeling algorithm provides estimated resource necessary for the application chosen. For example, an insurance company may use membership information, claims data, transactional data, etc., to estimate how much reserves or funds it should hold to cover future claims within a certain timeframe.
    Type: Grant
    Filed: December 23, 2016
    Date of Patent: March 2, 2021
    Assignee: Aetna Inc.
    Inventors: William R. Jones, Gaurav Sharma, Faisal Khan, Hualiang Li, Yue Xiao, Jingran Li, Jamal Timsah, Ryan T. Berns, Sanjeev Bollam, Radhika G. Athalye
  • Publication number: 20170186093
    Abstract: Embodiments of the disclosure provide a system and method of allocating a resource based on myriad input data. In some embodiments, the myriad input data include membership information, claims data, transactional data, etc. The myriad input data are sorted and organized in a meaningful association relationship before applied to a resource allocation modeling algorithm. The resource allocation modeling algorithm provides estimated resource necessary for the application chosen. For example, an insurance company may use membership information, claims data, transactional data, etc., to estimate how much reserves or funds it should hold to cover future claims within a certain timeframe.
    Type: Application
    Filed: December 23, 2016
    Publication date: June 29, 2017
    Inventors: William R. Jones, Gaurav Sharma, Faisal Khan, Hualiang Li, Yue Xiao, Jingran Li, Jamal Timsah, Ryan T. Berns, Sanjeev Bollam, Radhika G. Athalye