Patents by Inventor Mudit Garg

Mudit Garg 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: 20250391548
    Abstract: Apparatus and methods for automating pre-procedural coordination workflows in a digital environment include at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to generate, using a trained content retrieval data structure, a plurality of content retrieval parameters, receive, from a first entity, an input including an input data structure as a function of the plurality of content retrieval parameters, populate, using the input data structure, a content queue comprising a plurality of content elements, query a second entity using at least a content element of the plurality of content elements, update the content queue as a function of at least a query response received from the second entity, generate a recommended course of action as a function of the updated content queue, and perform the recommended course of action.
    Type: Application
    Filed: June 25, 2024
    Publication date: December 25, 2025
    Applicant: Qventus, Inc.
    Inventors: Jeff Mounzer, Mudit Garg, Ian Christopher, Chris Diana, Michael Harris, Abhinav Mittal, Karen Miao, Matthew Garcia, Garrick Tolley, Ben Strahan, Lalit Chawla, Richard Lai, Justin Flechsig
  • Publication number: 20160162647
    Abstract: A system for analyzing medical operational performance information comprising: defining a set of operational performance metrics relevant to a medical treatment setting, determining the value of one or more members of the set of operational performance metrics based on information from one or more data sources, determining an expected value for the operational performance metric, associating a set of potential correlational factors or root causes with each operational performance metric; and determining the significance of the correlational factors or root causes on the deviation of the operational performance metric from its expected value by applying standard statistical methods.
    Type: Application
    Filed: December 5, 2014
    Publication date: June 9, 2016
    Applicant: analyticsMD, Inc.
    Inventors: Ian Christopher, Mudit Garg, Brent Newhouse