Patents by Inventor Shyam Sakhrani

Shyam Sakhrani 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).

  • Publication number: 20230281253
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a predictive system that obtains and processes data describing terms for different medical concepts to generate commands from a user query. An entity module of the system determines whether a term describes a medical entity associated with a healthcare condition affecting an individual. When the term describes the medical entity an encoding module links the medical entity with a specified category based on an encoding scheme. The system receives the user query. A parsing engine of the system uses the received query to generate a machine-readable command by parsing the query against terms that describe the medical entity and based on the encoding scheme for linking the medical entity to the specified category. The system uses the command to query different databases to obtain data for generating a response to the received query.
    Type: Application
    Filed: March 24, 2023
    Publication date: September 7, 2023
    Inventors: Nurlanbek Duishoev, Kristy Morgan, Joaquin Palancar Arbona, Lucas Glass, Shyam Sakhrani
  • Patent number: 11615148
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a predictive system that obtains and processes data describing terms for different medical concepts to generate commands from a user query. An entity module of the system determines whether a term describes a medical entity associated with a healthcare condition affecting an individual. When the term describes the medical entity an encoding module links the medical entity with a specified category based on an encoding scheme. The system receives the user query. A parsing engine of the system uses the received query to generate a machine-readable command by parsing the query against terms that describe the medical entity and based on the encoding scheme for linking the medical entity to the specified category. The system uses the command to query different databases to obtain data for generating a response to the received query.
    Type: Grant
    Filed: November 22, 2021
    Date of Patent: March 28, 2023
    Assignee: IQVIA Inc.
    Inventors: Nurlanbek Duishoev, Kristy Morgan, Joaquin Palancar Arbona, Lucas Glass, Shyam Sakhrani
  • Publication number: 20220083605
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a predictive system that obtains and processes data describing terms for different medical concepts to generate commands from a user query. An entity module of the system determines whether a term describes a medical entity associated with a healthcare condition affecting an individual. When the term describes the medical entity an encoding module links the medical entity with a specified category based on an encoding scheme. The system receives the user query. A parsing engine of the system uses the received query to generate a machine-readable command by parsing the query against terms that describe the medical entity and based on the encoding scheme for linking the medical entity to the specified category. The system uses the command to query different databases to obtain data for generating a response to the received query.
    Type: Application
    Filed: November 22, 2021
    Publication date: March 17, 2022
    Inventors: Nurlanbek Duishoev, Kristy Morgan, Joaquin Palancar Arbona, Lucas Glass, Shyam Sakhrani
  • Patent number: 11210346
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a predictive system that obtains and processes data describing terms for different medical concepts to generate commands from a user query. An entity module of the system determines whether a term describes a medical entity associated with a healthcare condition affecting an individual. When the term describes the medical entity an encoding module links the medical entity with a specified category based on an encoding scheme. The system receives the user query. A parsing engine of the system uses the received query to generate a machine-readable command by parsing the query against terms that describe the medical entity and based on the encoding scheme for linking the medical entity to the specified category. The system uses the command to query different databases to obtain data for generating a response to the received query.
    Type: Grant
    Filed: April 4, 2019
    Date of Patent: December 28, 2021
    Assignee: IQVIA Inc.
    Inventors: Nurlanbek Duishoev, Kristy Morgan, Joaquin Palancar Arbona, Lucas Glass, Shyam Sakhrani
  • Publication number: 20200320139
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a predictive system that obtains and processes data describing terms for different medical concepts to generate commands from a user query. An entity module of the system determines whether a term describes a medical entity associated with a healthcare condition affecting an individual. When the term describes the medical entity an encoding module links the medical entity with a specified category based on an encoding scheme. The system receives the user query. A parsing engine of the system uses the received query to generate a machine-readable command by parsing the query against terms that describe the medical entity and based on the encoding scheme for linking the medical entity to the specified category. The system uses the command to query different databases to obtain data for generating a response to the received query.
    Type: Application
    Filed: April 4, 2019
    Publication date: October 8, 2020
    Inventors: Nurlanbek Duishoev, Kristy Morgan, Joaquin Palancar Arbona, Lucas Glass, Shyam Sakhrani