Patents by Inventor Katherine A. Lohr

Katherine A. Lohr 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).

  • Patent number: 11039748
    Abstract: A cloud-based system and method for predictive modeling and positive adjustment of behavioral health are disclosed. The system includes sensors collecting data associated with subject location and activity, and linked to a subject computing device. The system translates data aggregated from the data sources into state information, and iteratively updates, via the translated state information, a de-identified contextual model for the subject which in an embodiment may be a Life Context Graph as described herein. An end point server compares the de-identified contextual model to a de-identified aggregate of peer-based contextual models, wherein data security and privacy is preserved, and the system further iteratively updates the subject contextual model based thereon. The system accordingly identifies behavioral trigger actions based on the collected data and/or the updated subject contextual model, and generates a predetermined clinical response corresponding to the identified behavioral trigger action.
    Type: Grant
    Filed: July 12, 2017
    Date of Patent: June 22, 2021
    Assignee: Synchronous Health, Inc.
    Inventors: Guy Barnard, Lisa D. Henderson, Katherine A. Lohr
  • Publication number: 20180025126
    Abstract: A cloud-based system and method for predictive modeling and positive adjustment of behavioral health are disclosed. The system includes sensors collecting data associated with subject location and activity, and linked to a subject computing device. The system translates data aggregated from the data sources into state information, and iteratively updates, via the translated state information, a de-identified contextual model for the subject which in an embodiment may be a Life Context Graph as described herein. An end point server compares the de-identified contextual model to a de-identified aggregate of peer-based contextual models, wherein data security and privacy is preserved, and the system further iteratively updates the subject contextual model based thereon. The system accordingly identifies behavioral trigger actions based on the collected data and/or the updated subject contextual model, and generates a predetermined clinical response corresponding to the identified behavioral trigger action.
    Type: Application
    Filed: July 12, 2017
    Publication date: January 25, 2018
    Inventors: Guy Barnard, Lisa D. Henderson, Katherine A. Lohr