Patents by Inventor Ying Tabak

Ying Tabak 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: 20230402182
    Abstract: A method may include receiving, from one or more data systems, a message. A machine learning model may be applied to the message to determine whether the message is an actionable message or a non-actionable message. In response to the message being the actionable message, the machine learning model may be applied to extract, from the message, a clinically significant data. One or more tasks may be performed based on the clinically significant data. The one or more tasks may include performing, based on the clinically significant data, a resource allocation for a clinical workflow associated with the data systems. The one or more tasks may also include detecting systematic inefficiencies and bottlenecks associated with the clinical workflow. Related methods and articles of manufacture, including computer program products, are also disclosed.
    Type: Application
    Filed: August 21, 2023
    Publication date: December 14, 2023
    Inventors: Abhikesh Nag, Lyazzat Segizbayeva, Latha Vankeepuram, Ying Tabak
  • Patent number: 10726097
    Abstract: Systems for use with a medical device for reducing medical facility readmission risks are provided. In one aspect, a system includes a medical device that is configurable with operating limit parameters for providing testing or treatment to a patient, and a limiting system. The limiting system includes a memory that includes patient-specific information for the patient and a database that includes readmission risk information, and a processor. The processor is configured to compare readmission risk parameters with the patient-specific information, and provide a readmission risk score for integration with medical devices and processes corresponding to the patient. Methods and machine-readable media are also provided.
    Type: Grant
    Filed: October 17, 2016
    Date of Patent: July 28, 2020
    Assignee: CAREFUSION 303, INC.
    Inventors: Carlos Nunez, Ying Tabak, Xiaowu Sun, Vikas Gupta, Richard Johannes
  • Publication number: 20170109494
    Abstract: Systems for use with a medical device for reducing medical facility readmission risks are provided. In one aspect, a system includes a medical device that is configurable with operating limit parameters for providing testing or treatment to a patient, and a limiting system. The limiting system includes a memory that includes patient-specific information for the patient and a database that includes readmission risk information, and a processor. The processor is configured to compare readmission risk parameters with the patient-specific information, and provide a readmission risk score for integration with medical devices and processes corresponding to the patient. Methods and machine-readable media are also provided.
    Type: Application
    Filed: October 17, 2016
    Publication date: April 20, 2017
    Inventors: Carlos Nunez, Ying Tabak, Xiaowu Sun, Vikas Gupta, Richard Johannes
  • Publication number: 20060289020
    Abstract: A method of obtaining and processing patient data and patient treatment data to provide a prognosis parameter related to a patient's disease state is provided. The method identifies and calculates coefficients related to appropriate predictor variables which are then used by the prediction model to calculate the prognosis parameter. The prediction model may be a logistic regression model. The method may also be used to assess the level of care being provided to patients, as well as providing a way of assessing the outcome of the patient's condition as a function of treatment. A method of calculating a harm index reflective of the risk of treatment is also provided.
    Type: Application
    Filed: June 8, 2006
    Publication date: December 28, 2006
    Inventors: Ying Tabak, Richard Johannes, Stephen Kurtz, Cynthia Yamaga