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US Patent 11257576 Automated clinical documentation system and method

Patent 11257576 was granted and assigned to Nuance Communications on February, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Nuance Communications
Nuance Communications
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Current Assignee
Nuance Communications
Nuance Communications
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
112575760
Patent Inventor Names
Daniel Paulino Almendro Barreda0
Donald E. Owen0
Dushyant Sharma0
Date of Patent
February 22, 2022
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Patent Application Number
167734470
Date Filed
January 27, 2020
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Patent Citations
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US Patent 10810574 Electronic audible payment messaging
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US Patent 10090068 Method and system for determining whether a monitored individual's hand(s) have entered a virtual safety zone
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US Patent 10423948 Automated third-party messaging
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US Patent 10219083 Method of localizing a sound source, a hearing device, and a hearing system
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US Patent 10440498 Estimating room acoustic properties using microphone arrays
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US Patent 10491598 Multi-factor authentication to access services
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US Patent 10559295 Artificial reverberator room size control
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US Patent 10693872 Identity verification system
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...
Patent Citations Received
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US Patent 12062016 Automated clinical documentation system and method
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US Patent 11482308 Automated clinical documentation system and method
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US Patent 11494735 Automated clinical documentation system and method
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US Patent 11515020 Automated clinical documentation system and method
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US Patent 11531807 System and method for customized text macros
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US Patent 11605448 Automated clinical documentation system and method
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US Patent 11670408 System and method for review of automated clinical documentation
0
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US Patent 11316865 Ambient cooperative intelligence system and method
...
Patent Primary Examiner
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Delomia L Gilliard
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Patent abstract

A method, computer program product, and computing system for tracking encounter participants is executed on a computing device and includes obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information obtained via one or more machine vision systems. The machine vision encounter information is processed to identify one or more humanoid shapes.

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