Patents by Inventor Ryan Mancl

Ryan Mancl 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: 12027265
    Abstract: Various methods and systems are provided for integrated alert management for clinical decision support. In one embodiment, a method includes determining an alert for a patient relating to a task for caring for the patient, displaying, to a user, the alert via a graphical user interface, responsive to receiving a selection by the user via the graphical user interface, performing one or more actions including adjusting a status of the alert, snoozing the alert for a specified duration, escalating the alert to one or more users, adding a comment on the alert, and displaying a history of interactions with the alert. In this way, hospital staff may easily manage alerts and tasks associated with a patient in an integrated graphical user interface.
    Type: Grant
    Filed: June 23, 2022
    Date of Patent: July 2, 2024
    Assignee: GE PRECISION HEALTHCARE LLC
    Inventors: Ryan Mancl, Tamas Fixler
  • Publication number: 20230178192
    Abstract: Various methods and systems are provided for automatically generating downgrade recommendations. In one embodiment, a method for a patient downgrade recommendation system includes displaying a menu listing one or more options for retrieving data of one or more patients from a plurality of databases and systems of a hospital, the plurality of databases and systems including one or more electronic health record (EHR) systems, and displaying a recommendation graphical user interface (GUI) that displays, for each patient, a downgrade recommendation recommending whether or not to downgrade the patient, the downgrade recommendation being selectable to add additional display elements to the recommendation GUI display panel identifying parameters from the retrieved data from the one or more EHR systems that triggered a displayed downgrade recommendation, wherein the recommendation GUI is displayed while the one or more EHR systems are in an un-launched state.
    Type: Application
    Filed: December 8, 2021
    Publication date: June 8, 2023
    Inventors: Ryan Mancl, Jeffrey Richardson Terry, Tamas Fixler, Kathleen Martin, Pravat Panda, Jehoshua Joon Chang
  • Publication number: 20230178223
    Abstract: Various methods and systems are provided for automatically generating a recommendation to downgrade a patient from an intensive care unit (ICU) to a different medical unit. In one embodiment, a method for a patient downgrade recommendation system comprises, for each patient of a plurality of selected patients of the ICU, selecting a set of downgrade criteria for the patient; from a first, larger set of patient data of the patient, automatically compiling a second, smaller set of patient data based on the set of downgrade criteria; applying a set of rules associated with the set of downgrade criteria to the second, smaller set of patient data to generate a downgrade recommendation for the patient; and arranging the graphical downgrade recommendation elements of the plurality of selected patients in a single integrated view of a user interface a display device of the patient downgrade recommendation system.
    Type: Application
    Filed: December 8, 2021
    Publication date: June 8, 2023
    Inventors: Ryan Mancl, Jeffrey Richardson Terry, Tamas Fixler, Kathleen Martin, Pravat Panda, Jehoshua Joon Chang
  • Publication number: 20230005615
    Abstract: Various methods and systems are provided for integrated alert management for clinical decision support. In one embodiment, a method includes determining an alert for a patient relating to a task for caring for the patient, displaying, to a user, the alert via a graphical user interface, responsive to receiving a selection by the user via the graphical user interface, performing one or more actions including adjusting a status of the alert, snoozing the alert for a specified duration, escalating the alert to one or more users, adding a comment on the alert, and displaying a history of interactions with the alert. In this way, hospital staff may easily manage alerts and tasks associated with a patient in an integrated graphical user interface.
    Type: Application
    Filed: June 23, 2022
    Publication date: January 5, 2023
    Inventors: Ryan Mancl, Tamas Fixler
  • 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
  • Publication number: 20210098090
    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: Application
    Filed: September 30, 2019
    Publication date: April 1, 2021
    Inventors: Bex George Thomas, Andrew Day, Savanoor Pradeep Rai, Ryan Mancl, Hong Yang, Rulin Chen, Leonardo Dias