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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 11875883 B1

PDFFull Text
Date of Patent:
Jan. 16, 2024

Filed:

Dec. 23, 2020

De-duplication and contextually-intelligent recommendations based on natural language understanding of conversational sources

Applicant:

Cerner Innovation, Inc., Kansas City, KS (US);

Inventors:

Leo V. Perez, Platte City, MO (US);

Justin Morrison, Kansas City, KS (US);

Tanuj Gupta, Leawood, KS (US);

Joe Geris, Kansas City, KS (US);

Rachel Gegen, Overland Park, KS (US);

Jacob Geers, Kansas City, KS (US);

Gyandeep Singh, Olathe, KS (US);

Emin Agassi, Blue Bell, PA (US);

Assignee:

Cerner Innovation, Inc., Kansas City, KS (US);

Attorney:

Mughal Gaudry & Franklin PC

Primary Examiner:

Daniel C Washburn

Assistant Examiner:

Athar N Pasha

Int. Cl.
CPC ...
G16H 10/60 (2018.01); G10L 15/22 (2006.01); G10L 15/18 (2013.01); G06F 40/174 (2020.01); G06F 40/30 (2020.01); G06F 40/279 (2020.01); G06F 16/215 (2019.01); G16H 70/20 (2018.01); G16H 50/70 (2018.01); G16H 50/20 (2018.01); G16H 40/20 (2018.01); G16H 70/40 (2018.01); G16H 20/10 (2018.01); G06F 3/0482 (2013.01);
U.S. Cl.
CPC ...
G16H 10/60 (2018.01); G06F 3/0482 (2013.01); G06F 16/215 (2019.01); G06F 40/174 (2020.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G16H 20/10 (2018.01); G16H 40/20 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 70/20 (2018.01); G16H 70/40 (2018.01);
Abstract

Methods and systems for natural language processing/understanding of voice conversations are provided. Using natural language processing, a clinical condition is extracted from a voice conversation. A clinical ontology identifies clinical concepts associated with the clinical conditions. The clinical concepts are classified for documentation. The clinical concepts are searched and validated from within an individual's longitudinal record.

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