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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.

Patent No.:

US 11568993 B1

PDFFull Text
Date of Patent:
Jan. 31, 2023

Filed:

Feb. 14, 2018

System and method of predicting a healthcare event

Applicant:

Owlytics Healthcare Ltd, Bnei-Atarot, IL;

Inventors:

Gill Zaphrir, Bnei Atarot, IL;

Yaron Recher, Ramat Yishai, IL;

Ronen Feldman, Petach Tikva, IL;

Assignee:

OWLYTICS HEALTHCARE LTD, Bnei-Atarot, IL;

Attorney:

Pearl Cohen Zedek Latzer Baratz LLP

Primary Examiner:

Michael Tomaszewski

Assistant Examiner:

William T Monticello

Int. Cl.
CPC ...
G16H 50/30 (2018.01); A61B 5/00 (2006.01); G16H 10/60 (2018.01); G16H 50/70 (2018.01); G06F 1/16 (2006.01); G06F 3/01 (2006.01); A61B 5/0533 (2021.01); A61B 5/021 (2006.01); A61B 5/024 (2006.01); A61B 5/11 (2006.01); A61B 5/08 (2006.01); A61B 5/01 (2006.01);
U.S. Cl.
CPC ...
G16H 50/30 (2018.01); A61B 5/0022 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); A61B 5/74 (2013.01); G06F 1/163 (2013.01); G06F 3/011 (2013.01); G16H 10/60 (2018.01); G16H 50/70 (2018.01); A61B 5/01 (2013.01); A61B 5/021 (2013.01); A61B 5/02405 (2013.01); A61B 5/02438 (2013.01); A61B 5/0533 (2013.01); A61B 5/0816 (2013.01); A61B 5/11 (2013.01); A61B 5/1112 (2013.01); A61B 5/4806 (2013.01);
Abstract

A method of predicting a healthcare event includes: receiving via an input device, classifying personal information for each of a plurality of persons; collecting measurements of at least one health indicator during a predefined learning period; creating a personal physiological pattern profile, based on the collected data; associating each of the plurality of persons to a physiological cluster based on each person's personal physiological pattern profile and based on the classifying personal information of each of the plurality of persons; creating, for each physiological cluster, a health indicator deviation pattern for the healthcare event; continuously monitoring values of the health indicator of the person; and determining an occurrence probability of the healthcare event when the monitored indicators deviate from the personal physiological pattern profile. A system for predicting a healthcare event is also disclosed.

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