公开(公告)号：US11043289B2

公开(公告)日：2021-06-22

申请号：US16366247

申请日：2019-03-27

Applicant: General Electric Company

Inventor： Bex George Thomas ,  Rajesh Tyagi ,  Nitish Umang ,  Aristotelis Emmanouil Thanos Filis ,  Andrew Day ,  Savanoor Pradeep Rai

IPC: G16H40/20 ,  G16H10/60 ,  G16H15/00 ,  G16H50/30 ,  G06N3/08 ,  G16H50/20 ,  G16H40/63 ,  G06N3/04

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.

公开(公告)号：US20200312430A1

公开(公告)日：2020-10-01

申请号：US16366247

申请日：2019-03-27

Applicant: General Electric Company

Inventor： Bex George Thomas ,  Rajesh Tyagi ,  Nitish Umang ,  Aristotelis Emmanouil Thanos Filis ,  Andrew Day ,  Savanoor Pradeep Rai

IPC: G16H10/60 ,  G06N3/08 ,  G16H15/00 ,  G16H50/30

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.