Patents by Inventor Andrew Day

Andrew Day 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: 20240355464
    Abstract: Systems and methods are provided for collecting, aggregating, and visualizing resource availability information for one or more medical facilities. In one example, a method includes receiving first data from a first medical facility, the first data received via a first data streaming process and in a first format; receiving second data from a second medical facility, the second data received via a second data streaming process and in a second format; processing the first data and the second data to generate one or more resource availability graphical user interfaces (GUIs); and outputting the one or more resource availability GUIs for display on a display device.
    Type: Application
    Filed: July 2, 2024
    Publication date: October 24, 2024
    Inventors: Andrew Day, Jeffrey Richardson Terry, Siyun Hur, Tamas Fixler, Mark Grum, Younan Fakhouri, Gaurav Sahariya, Gabriella Devine, Sean Lister
  • Patent number: 12125584
    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to manage care pathways and associated resources. An example apparatus includes a system monitor to coordinate a patient data analyzer and a care pathway processor to at least: identify a first patient record associated with a first care pathway; and identify a second patient record that is not on the first care pathway but should be on the first care pathway. The example apparatus includes a graphical user interface including information regarding, in a first area, the first patient record associated with the first care pathway and, in a second area, the second patient record that should be associated with the first care pathway.
    Type: Grant
    Filed: March 29, 2021
    Date of Patent: October 22, 2024
    Assignee: General Electric Company
    Inventors: Andrew Day, Tamas Fixler, Jeffrey Terry, Mohammed Uddin, Christopher Donald Johnson
  • Patent number: 12062434
    Abstract: Systems and methods are provided for collecting, aggregating, and visualizing resource availability information for one or more medical facilities. In one example, a method includes receiving first data from a first medical facility, the first data received via a first data streaming process and in a first format; receiving second data from a second medical facility, the second data received via a second data streaming process and in a second format; processing the first data and the second data to generate one or more resource availability graphical user interfaces (GUIs); and outputting the one or more resource availability GUIs for display on a display device.
    Type: Grant
    Filed: April 9, 2021
    Date of Patent: August 13, 2024
    Assignee: GE PRECISION HEALTHCARE LLC
    Inventors: Andrew Day, Jeffrey Richardson Terry, Siyun Hur, Tamas Fixler, Mark Grum, Younan Fakhouri, Gaurav Sahariya, Gabriella Devine, Sean Lister
  • Publication number: 20240185993
    Abstract: Techniques are described that employ a multifactorial, machine-learning based system and prioritization framework for optimizing patient placement to beds at a medical facility. In one embodiment, a computer-implemented is provided that comprises receiving, by a system operatively coupled to a processor, a patient placement request requesting placement of a patient to a hospital bed of the healthcare facility, wherein the request is associated with information identifying a medical service for the patient and a bed type. The method further comprises, selecting, by the system, a placement prioritization model from a set of placement prioritization models based on the medical service and the bed type, and employing, by the system, the prioritization model and state information regarding a current state of the healthcare facility to determine a prioritization score reflective of a priority level of the patient placement request.
    Type: Application
    Filed: February 14, 2024
    Publication date: June 6, 2024
    Inventors: Savanoor Rai, Bex George Thomas, Andrew Day
  • Patent number: 11935634
    Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.
    Type: Grant
    Filed: August 30, 2017
    Date of Patent: March 19, 2024
    Assignee: Google LLC
    Inventors: Alexander Mossin, Alvin Rajkomar, Eyal Oren, James Wilson, James Wexler, Patrik Sundberg, Andrew Dai, Yingwei Cui, Gregory Corrado, Hector Yee, Jacob Marcus, Jeffrey Dean, Benjamin Irvine, Kai Chen, Kun Zhang, Michaela Hardt, Xiaomi Sun, Nissan Hajaj, Peter Junteng Liu, Quoc Le, Xiaobing Liu, Yi Zhang
  • Patent number: 11398299
    Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.
    Type: Grant
    Filed: August 30, 2017
    Date of Patent: July 26, 2022
    Assignee: Google LLC
    Inventors: Kai Chen, Patrik Sundberg, Alexander Mossin, Nissan Hajaj, Kurt Litsch, James Wexler, Yi Zhang, Kun Zhang, Jacob Marcus, Eyal Oren, Hector Yee, Jeffrey Dean, Michaela Hardt, Benjamin Irvine, James Wilson, Andrew Dai, Peter Liu, Xiaomi Sun, Quoc Le, Xiaobing Liu, Alvin Rajkomar, Gregory Corrado, Gerardo Flores, Yingwei Cui, Gavin Duggan
  • Patent number: 11393577
    Abstract: Techniques are described for managing tasks of a dynamic system with limited resources using a machine-learning and combinatorial optimization framework. In one embodiment, a computer-implemented method is provided that comprises employing, by a system operatively coupled to a processor, one or more first machine learning models to determine a total demand for tasks of a dynamic system within a defined time frame based on state information regarding a current state of the dynamic system, wherein the state information comprises task information regarding currently pending tasks of the tasks. The method further comprises, employing, by the system, one or more second machine learning models to determine turnaround times for completing the tasks based on the state information, and determining, by the system, a prioritization order for performing the currently pending tasks based on the total demand and the turnaround times.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: July 19, 2022
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Bex George Thomas, Andrew Day, Savanoor Pradeep Rai
  • Patent number: 11386986
    Abstract: Techniques are described for identifying complex patients and forecasting patient outcomes based on a variety of factors including medical, socio-economic, mental and behavioral. According to an embodiment, a method can include employing one or more machine learning models to identify complex patients and predict patient outcomes like length of stay, potential discharge trajectories with likelihoods, discharge destinations, readmission likelihood and safety. These models are applied to respective patients that are currently admitted to a hospital and expected to be placed after discharge from the hospital, wherein the one or more discharge forecasting machine learning models predict the discharge destinations based on clinical data points and non-clinical data points collected for the respective patients.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: July 12, 2022
    Assignee: GE PRECISION HEALTHCARE LLC
    Inventors: Bex George Thomas, Andrew Day, Savanoor Pradeep Rai, Ryan Mancl, Hong Yang, Rulin Chen, Leonardo Dias
  • Patent number: 11243107
    Abstract: A spraying apparatus having an improved system for monitoring the flow of a spray nozzle or spray device and sensing malfunctions to the spray device is provided. The spraying apparatus includes sensors to monitor an input or instruction signal and a spray signal. The timing of the signals are analyzed to verify whether the spraying apparatus is opening and closing properly for each spray instruction signal.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: February 8, 2022
    Assignee: Spraying Systems Co.
    Inventors: Andrew Day, Alexander Chirban, Tim Hennessy
  • Publication number: 20210319884
    Abstract: Systems and methods are provided for collecting, aggregating, and visualizing resource availability information for one or more medical facilities. In one example, a method includes receiving first data from a first medical facility, the first data received via a first data streaming process and in a first format; receiving second data from a second medical facility, the second data received via a second data streaming process and in a second format; processing the first data and the second data to generate one or more resource availability graphical user interfaces (GUIs); and outputting the one or more resource availability GUIs for display on a display device.
    Type: Application
    Filed: April 9, 2021
    Publication date: October 14, 2021
    Inventors: Andrew Day, Jeffrey Richardson Terry, Siyun Hur, Tamas Fixler, Mark Grum, Younan Fakhouri, Gaurav Sahariya, Gabriella Devine, Sean Lister
  • Publication number: 20210319885
    Abstract: Systems and methods are provided for collecting, aggregating, and visualizing resource availability information including patient disease load for one or more medical facilities. In one example, a method includes determining, based on one or more test results of one or more tests for a disease included in a data stream from a medical facility and further based on an amount of time since the one or more tests were conducted, whether a patient suspected of having the disease is positive, negative, or under investigation for the disease; and updating one or more resource availability graphical user interfaces (GUIs) based on the determination.
    Type: Application
    Filed: April 9, 2021
    Publication date: October 14, 2021
    Inventors: Andrew Day, Jeffrey Richardson Terry, Siyun Hur, Ala Uddin, Mark Grum, Younan Fakhouri, Gaurav Sahariya, Gabriella Devine, Sean Lister
  • Publication number: 20210319886
    Abstract: Systems and methods are provided for collecting, aggregating, and visualizing resource availability information including medical device availability for one or more medical facilities. In one example, a method includes receiving real-time data associated with a plurality of ventilators; determining, for each ventilator of the plurality of ventilators, a ventilator status based on one or more of a ventilation start time, a ventilation stop time, a ventilator type, and a ventilator location, the one or more of the ventilation start time, the ventilation stop time, the ventilator type, and the ventilator location determined from the real-time data; and updating one or more resource availability graphical user interfaces (GUIs) based on the ventilator status.
    Type: Application
    Filed: April 9, 2021
    Publication date: October 14, 2021
    Inventors: Andrew Day, Jeffrey Richardson Terry, Siyun Hur, Mark Grum, Younan Fakhouri, Gaurav Sahariya, Gabriella Devine, Sean Lister
  • Patent number: 11080367
    Abstract: Systems, methods, and computer program products that enable system-wide probabilistic forecasting, alerting, optimizing and activating resources in the delivery of care to address both immediate (near real-time) conditions as well as probabilistic forecasted operational states of the system over an interval that is selectable from the current time to minutes, hours and coming days or weeks ahead are provided. There are multiple probabilistic future states that are implemented in these different time intervals and these may be implemented concurrently for an instant in time control, near term, and long term. Those forecasts along with their optimized control of hospital capacity may be independently calculated and optimized, such as for a dynamic workflow direction over the next hour and also a patient's stay over a period of days.
    Type: Grant
    Filed: October 1, 2018
    Date of Patent: August 3, 2021
    Assignee: General Electric Company
    Inventors: Andrew Day, Christopher Johnson
  • Publication number: 20210217515
    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to manage care pathways and associated resources. An example apparatus includes a system monitor to coordinate a patient data analyzer and a care pathway processor to at least: identify a first patient record associated with a first care pathway; and identify a second patient record that is not on the first care pathway but should be on the first care pathway. The example apparatus includes a graphical user interface including information regarding, in a first area, the first patient record associated with the first care pathway and, in a second area, the second patient record that should be associated with the first care pathway.
    Type: Application
    Filed: March 29, 2021
    Publication date: July 15, 2021
    Inventors: Andrew Day, Tamas Fixler, Jeffrey Terry, Mohammed Uddin, Christopher Donald Johnson
  • Publication number: 20210190563
    Abstract: A spraying apparatus having an improved system for monitoring the flow of a spray nozzle or spray device and sensing malfunctions to the spray device is provided. The spraying apparatus includes sensors to monitor an input or instruction signal and a spray signal. The timing of the signals are analyzed to verify whether the spraying apparatus is opening and closing properly for each spray instruction signal.
    Type: Application
    Filed: July 31, 2018
    Publication date: June 24, 2021
    Inventors: Andrew Day, Alexander Chirban, Tim Hennessy
  • Patent number: D923654
    Type: Grant
    Filed: January 31, 2019
    Date of Patent: June 29, 2021
    Assignee: General Electric Company
    Inventors: Michelle Mbeo, Andrew Day, Christopher D. Johnson
  • Patent number: D928836
    Type: Grant
    Filed: December 27, 2018
    Date of Patent: August 24, 2021
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Michelle Mbeo, Andrew Day
  • Patent number: D932517
    Type: Grant
    Filed: March 17, 2020
    Date of Patent: October 5, 2021
    Assignee: GE Precision Healthcare LLC
    Inventors: Siyun Hur, Andrew Day, Michelle Mbeo
  • Patent number: D1005327
    Type: Grant
    Filed: March 6, 2020
    Date of Patent: November 21, 2023
    Assignee: GE PRECISION HEALTHCARE LLC
    Inventors: Andrew Day, Michelle Mbeo, Siyun Hur
  • Patent number: D1080650
    Type: Grant
    Filed: June 15, 2023
    Date of Patent: June 24, 2025
    Assignee: GE PRECISION HEALTHCARE LLC
    Inventors: Andrew Day, Michelle Mbeo, Siyun Hur