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:
Feb. 25, 2025

Filed:

Dec. 23, 2021
Applicant:

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

Inventors:

Sagi Schein, Kiryat Tivon, IL;

Ole Jakob Utkilen, Tel Aviv, IL;

Ruth Bergman, Ceasarea, IL;

Eyal Hayun, Adi, IL;

Edwar Bkheet, Haifa, IL;

Antonio Zaitoun, Haifa, IL;

Vitaly Burshtein, Kiryat Ata, IL;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/70 (2018.01); G06F 40/20 (2020.01); G08B 21/18 (2006.01);
U.S. Cl.
CPC ...
G16H 50/70 (2018.01); G06F 40/20 (2020.01); G08B 21/182 (2013.01);
Abstract

Techniques are described that facilitate online monitoring of clinical data streams in association with detecting missing data and other suspicious data deviations. According to an embodiment, a computer implemented comprises receiving, by a system comprising a processor, a data stream from a plurality of different clinical data information systems configured to report defined clinical events within the data stream and recording arrival times of received events of the defined clinical events. The method further comprises detecting, by the system, data failure events associated with the data stream based on time differences between the arrival times for defined clinical events of the same type and estimated probabilities that the time differences are expected, wherein the detecting comprises estimating the probabilities that the time differences are expected using time-to-event models developed for each of the defined clinical events of the same type.


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