Patents by Inventor Oliver Fielding

Oliver Fielding 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: 20210183471
    Abstract: Systems, methods and apparatuses are described herein that employ machine learning techniques to assess a likelihood or risk that one or more patients will experience an adverse outcome, such as a decline in renal function, within one or more timeframes. The embodiments may utilize patient data relating to demographics, vital signs, diagnoses, procedures, diagnostic tests, biomarker assays, genetic tests, behaviors, and/or patient symptoms, to determine risk information, such as important predictive features and patient risk scores. And the embodiments may automatically execute patient workflows, such as providing treatment recommendations to providers and/or patients, based on determined risk scores.
    Type: Application
    Filed: March 2, 2021
    Publication date: June 17, 2021
    Applicant: pulseData Inc.
    Inventors: Theodore Cha, Hai Po Sun, Chris Kipers, Oliver Fielding, Jung Hoon Son, Edward Lee
  • Patent number: 10978176
    Abstract: Systems, methods and apparatuses are described herein that employ machine learning techniques to assess a likelihood or risk that one or more patients will experience an adverse outcome, such as a decline in renal function, within one or more timeframes. The embodiments may utilize patient data relating to demographics, vital signs, diagnoses, procedures, diagnostic tests, biomarker assays, genetic tests, behaviors, and/or patient symptoms, to determine risk information, such as important predictive features and patient risk scores. And the embodiments may automatically execute patient workflows, such as providing treatment recommendations to providers and/or patients, based on determined risk scores.
    Type: Grant
    Filed: July 1, 2019
    Date of Patent: April 13, 2021
    Assignee: pulseData Inc.
    Inventors: Theodore Cha, Hai Po Sun, Chris Kipers, Oliver Fielding, Jung Hoon Son, Edward Lee
  • Publication number: 20200005900
    Abstract: Systems, methods and apparatuses are described herein that employ machine learning techniques to assess a likelihood or risk that one or more patients will experience an adverse outcome, such as a decline in renal function, within one or more timeframes. The embodiments may utilize patient data relating to demographics, vital signs, diagnoses, procedures, diagnostic tests, biomarker assays, genetic tests, behaviors, and/or patient symptoms, to determine risk information, such as important predictive features and patient risk scores. And the embodiments may automatically execute patient workflows, such as providing treatment recommendations to providers and/or patients, based on determined risk scores.
    Type: Application
    Filed: July 1, 2019
    Publication date: January 2, 2020
    Applicant: pulseData Inc.
    Inventors: Theodore Cha, Hai Po Sun, Chris Kipers, Oliver Fielding, Jung Hoon Son, Edward Lee