Patents by Inventor James Benjamin Davis

James Benjamin Davis 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).

  • Systems, methods, and apparatuses for generating structured data from unstructured data using natural language processing to generate a secure medical dashboard
    Patent number: 12682113
    Abstract: Systems, apparatuses, and methods are described herein for generating structured data from unstructured data using natural language processing to generate a secure medical dashboard. The present invention is configured to identify at least one data input, wherein the at least one data input comprises unstructured data; apply at least one NLP pipeline to the at least one data input; parse the unstructured data to generate a parsed unstructured dataset; identify a medical relevance attribute; generate a structured document comprising the at least one term and associated medical relevance attribute; correlate the at least one term comprising the positive medical attribute to a medical entity title; generate a medical dashboard interface component comprising the at least one term comprising the positive medical attribute and the medical entity title; transmit the medical dashboard interface component to a user device; and generate a secure medical dashboard on the user device.
    Type: Grant
    Filed: June 23, 2023
    Date of Patent: July 14, 2026
    Assignee: PREMIER HEALTHCARE SOLUTIONS, INC.
    Inventors: Gregory D. Ward, John Arvin House, James Benjamin Davis, Yosef M. Khan, Tim Riddle, Andrew Thomas Latterner
  • Systems, methods, and apparatuses for predicting resource shortages using machine learning
    Patent number: 12598146
    Abstract: Systems, methods, and apparatuses are described herein for predicting resource shortages using machine learning.
    Type: Grant
    Filed: December 29, 2023
    Date of Patent: April 7, 2026
    Assignee: PREMIER HEALTHCARE SOLUTIONS, INC.
    Inventors: Matthew Robert Bossemeyer, Matthew Shimshock, Audrey Siepiela, James Benjamin Davis, Michael Wynn Herron
  • SYSTEMS, METHODS, AND APPARATUSES FOR PREDICTING RESOURCE SHORTAGES USING MACHINE LEARNING
    Publication number: 20240223512
    Abstract: Systems, methods, and apparatuses are described herein for predicting resource shortages using machine learning.
    Type: Application
    Filed: December 29, 2023
    Publication date: July 4, 2024
    Applicant: Premier Healthcare Solutions, Inc.
    Inventors: Matthew Robert Bossemeyer, Matthew Shimshock, Audrey Siepiela, James Benjamin Davis, Michael Wynn Herron
  • SYSTEMS, METHODS, AND APPARATUSES FOR GENERATING STRUCTURED DATA FROM UNSTRUCTURED DATA USING NATURAL LANGUAGE PROCESSING TO GENERATE A SECURE MEDICAL DASHBOARD
    Publication number: 20230418981
    Abstract: Systems, apparatuses, and methods are described herein for generating structured data from unstructured data using natural language processing to generate a secure medical dashboard. The present invention is configured to identify at least one data input, wherein the at least one data input comprises unstructured data; apply at least one NLP pipeline to the at least one data input; parse the unstructured data to generate a parsed unstructured dataset; identify a medical relevance attribute; generate a structured document comprising the at least one term and associated medical relevance attribute; correlate the at least one term comprising the positive medical attribute to a medical entity title; generate a medical dashboard interface component comprising the at least one term comprising the positive medical attribute and the medical entity title; transmit the medical dashboard interface component to a user device; and generate a secure medical dashboard on the user device.
    Type: Application
    Filed: June 23, 2023
    Publication date: December 28, 2023
    Applicant: Premier Healthcare Solutions, Inc.
    Inventors: Gregory D. Ward, John Arvin House, James Benjamin Davis, Yosef M. Khan, Tim Riddle