Patents by Inventor Aristotelis Emmanouil Thanos Filis

Aristotelis Emmanouil Thanos Filis 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).

  • Monitoring, predicting and alerting for census periods in medical inpatient units
    Patent number: 11043289
    Abstract: Systems and techniques for monitoring, predicting and/or alerting for census periods in medical inpatient units are presented. A system can perform a first machine learning process to learn patterns in patient flow data related to a set of patient identities and a set of operations associated with a set of medical inpatient units. The system can also perform a second machine learning process to detect abnormalities associated with the patterns in the patient flow data. Furthermore, the system can determine patient census data associated with a prediction for a total number of patient identities in the set of medical inpatient units during a period of time based on the patterns and the abnormalities. The system can also generate an alert for a user interface in response to a determination that the patient census data satisfies a defined criterion.
    Type: Grant
    Filed: March 27, 2019
    Date of Patent: June 22, 2021
    Assignee: General Electric Company
    Inventors: Bex George Thomas, Rajesh Tyagi, Nitish Umang, Aristotelis Emmanouil Thanos Filis, Andrew Day, Savanoor Pradeep Rai
  • MONITORING, PREDICTING AND ALERTING FOR CENSUS PERIODS IN MEDICAL INPATIENT UNITS
    Publication number: 20200312430
    Abstract: Systems and techniques for monitoring, predicting and/or alerting for census periods in medical inpatient units are presented. A system can perform a first machine learning process to learn patterns in patient flow data related to a set of patient identities and a set of operations associated with a set of medical inpatient units. The system can also perform a second machine learning process to detect abnormalities associated with the patterns in the patient flow data. Furthermore, the system can determine patient census data associated with a prediction for a total number of patient identities in the set of medical inpatient units during a period of time based on the patterns and the abnormalities. The system can also generate an alert for a user interface in response to a determination that the patient census data satisfies a defined criterion.
    Type: Application
    Filed: March 27, 2019
    Publication date: October 1, 2020
    Inventors: Bex George Thomas, Rajesh Tyagi, Nitish Umang, Aristotelis Emmanouil Thanos Filis, Andrew Day, Savanoor Pradeep Rai