Monitoring, predicting and alerting for census periods in medical inpatient units

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...

Full description

Saved in:
Bibliographic Details
Main Authors Umang, Nitish, Thomas, Bex George, Tyagi, Rajesh, Rai, Savanoor Pradeep, Thanos Filis, Aristotelis Emmanouil, Day, Andrew
Format Patent
LanguageEnglish
Published 22.06.2021
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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.
Bibliography:Application Number: US201916366247