The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 22, 2021

Filed:

Mar. 27, 2019
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Bex George Thomas, Laguna Nigel, CA (US);

Rajesh Tyagi, Niskayuna, NY (US);

Nitish Umang, Schenectady, NY (US);

Aristotelis Emmanouil Thanos Filis, Schenectady, NY (US);

Andrew Day, Newtown, PA (US);

Savanoor Pradeep Rai, Naperville, IL (US);

Assignee:

General Electric Company, Schenectady, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 40/20 (2018.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 50/30 (2018.01); G06N 3/08 (2006.01); G16H 50/20 (2018.01); G16H 40/63 (2018.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G16H 10/60 (2018.01); G06N 3/08 (2013.01); G16H 15/00 (2018.01); G16H 50/30 (2018.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01);
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.


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