Patents by Inventor Joshua Kraut

Joshua Kraut 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).

  • CLINICAL RISK MODEL
    Publication number: 20230097114
    Abstract: A model-assisted system and method for predicting health care services. In one implementation, a model-assisted system may comprise a least one processor programmed to access a database storing a medical record associated with a patient and analyze the medical record to identify a characteristic of the patient. The processor may determine a patient risk level indicating a likelihood that the patient will require a health care service within a predetermined time period; compare the patient risk level to a predetermined risk threshold; and generate a report indicating a recommended intervention for the patient. The processor may further determine a calibration factor indicating a difference between an average patient risk level and an average actual healthcare service usage for a first group of patients; and determine, based on the calibration factor, a bias relative to a second group of patients.
    Type: Application
    Filed: October 5, 2022
    Publication date: March 30, 2023
    Applicant: Flatiron Health, Inc.
    Inventors: Pooja Shaw, Abigail Orlando, Alexander Rich, Rebecca Miksad, Dominique Connolly, Blythe Adamson, Jessie Tseng, Maya Najarian, Shreyas Lakhtakia, Joshua Kraut, Jesse Lee
  • Clinical risk model
    Patent number: 11476002
    Abstract: A model-assisted system and method for predicting health care services. In one implementation, a model-assisted system may comprise a least one processor programmed to access a database storing a medical record associated with a patient and analyze the medical record to identify a characteristic of the patient. The processor may determine a patient risk level indicating a likelihood that the patient will require a health care service within a predetermined time period; compare the patient risk level to a predetermined risk threshold; and generate a report indicating a recommended intervention for the patient. The processor may further determine a calibration factor indicating a difference between an average patient risk level and an average actual healthcare service usage for a first group of patients; and determine, based on the calibration factor, a bias relative to a second group of patients.
    Type: Grant
    Filed: December 11, 2020
    Date of Patent: October 18, 2022
    Assignee: FLATIRON HEALTH, INC.
    Inventors: Pooja Shaw, Abigail Orlando, Alexander Rich, Rebecca Miksad, Dominique Connolly, Blythe Adamson, Jessie Tseng, Maya Najarian, Shreyas Lakhtakia, Joshua Kraut, Jesse Lee
  • CLINICAL RISK MODEL
    Publication number: 20210296000
    Abstract: A model-assisted system and method for predicting health care services. In one implementation, a model-assisted system may comprise a least one processor programmed to access a database storing a medical record associated with a patient and analyze the medical record to identify a characteristic of the patient. The processor may determine a patient risk level indicating a likelihood that the patient will require a health care service within a predetermined time period; compare the patient risk level to a predetermined risk threshold; and generate a report indicating a recommended intervention for the patient. The processor may further determine a calibration factor indicating a difference between an average patient risk level and an average actual healthcare service usage for a first group of patients; and determine, based on the calibration factor, a bias relative to a second group of patients.
    Type: Application
    Filed: December 11, 2020
    Publication date: September 23, 2021
    Applicant: Flatiron Health, Inc.
    Inventors: Pooja Shaw, Abigail Orlando, Alexander Rich, Rebecca Miksad, Dominique Connolly, Blythe Adamson, Jessie Tseng, Maya Najarian, Shreyes Lakhtakia, Joshua Kraut, Jesse Lee