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:
Apr. 12, 2022

Filed:

Nov. 21, 2019
Applicant:

GE Precision Healthcare Llc, Wauwatosa, WI (US);

Inventors:

Erno Petteri Muuranto, Helsinki, FI;

Kimmo Henrik Uutela, Helsinki, FI;

Assignee:

GE Precision Healthcare LLC, Wauwatosa, WI (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 40/20 (2018.01); G16H 50/30 (2018.01); A61B 5/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/746 (2013.01); A61B 5/002 (2013.01); A61B 5/7275 (2013.01); G16H 40/20 (2018.01); G16H 50/30 (2018.01);
Abstract

A method of predicting physiological alarm frequency by patient monitors includes collecting patient monitoring data of multiple patients in at least a first healthcare environment, and then determining an alarm rate model based on the patient monitoring data, wherein the alarm rate model describes alarm rates at a range of alarm configurations in the first healthcare environment. Initial alarm rate data is collected for a second healthcare environment, wherein the initial alarm rate data includes at least one alarm rate at at least one known alarm configuration within the range of alarm configurations. An alarm rate transform is then calculated for the second healthcare environment comparing the initial alarm rate data for the second healthcare environment to the alarm rate model. Alarm rates are predicted for the second healthcare environment at a different alarm configuration than the at least one known alarm configuration of the initial alarm rate data by applying the alarm rate transform to the alarm rate model.


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