Nuance Communications, Inc.

Microsoft Technology Licensing, LLC

Donald E Owen

Mehmet Mert Öz

Daniel Paulino Almendro Barreda

Garret N Erskine

Dushyant Sharma

Guido Remi Marcel Gallopyn

Uwe Helmut Jost

Paul Joseph Vozila

Patrick A Naylor

Joel Praveen Pinto

Matthias Helletzgruber

Jeremy Martin Jancsary

Kumar Abhinav

Matthieu Hebert

Amr Nour-Eldin

A method, computer program product, and computing system for obtaining, by a computing device, encounter information of a patient encounter, wherein the encounter information may include audio encounter information obtained from at least a first encounter participant. The audio encounter information obtained from at least the first encounter participant may be processed. A user interface may be generated displaying a plurality of layers associated with the audio encounter information obtained from at least the first encounter participant. A user input may be received from a peripheral device to navigate through each of the plurality of layers associated with the audio encounter information displayed on the user interface.

System and method for review of automated clinical documentation from recorded audio

A method, computer program product, and computing system for compartmentalizing a virtual assistant is executed on a computing device and includes obtaining encounter information via a compartmentalized virtual assistant during a patient encounter, wherein the compartmentalized virtual assistant includes a core functionality module. One or more additional functionalities are added to the compartmentalized virtual assistant on an as-needed basis.

Automated clinical documentation system and method

A method, computer program product, and computing system for obtaining encounter information during a patient encounter; processing the encounter information to detect the execution of a physical event during the patient encounter, thus defining a detected physical event; and deriving information for the detected physical event.

Ambient clinical intelligence system and method

A method, computer program product, and computing system for synchronizing machine vision and audio is executed on a computing device and includes obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information and audio encounter information. The machine vision encounter information and the audio encounter information are temporally-aligned to produce a temporarily-aligned encounter recording.

A method, computer program product, and computing system for visual diarization of an encounter is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is processed to: associate a first portion of the encounter information with a first encounter participant, and associate at least a second portion of the encounter information with at least a second encounter participant. A visual representation of the encounter information is rendered. A first visual representation of the first portion of the encounter information is rendered that is temporally-aligned with the visual representation of the encounter information. At least a second visual representation of the at least a second portion of the encounter information is rendered that is temporally-aligned with the visual representation of the encounter information.

A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.

A method, computer program product, and computing system for automating a monitoring process is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is processed to determine if the encounter information is indicative of a potential medical situation. An inquiry is initiated concerning the potential medical situation.

A modular ACD system is configured to automate clinical documentation and includes a machine vision system configured to obtain machine vision encounter information concerning a patient encounter. An audio recording system is configured to obtain audio encounter information concerning the patient encounter. A compute system is configured to receive the machine vision encounter information and the audio encounter information.

A method, computer program product, and computing system for automating an intake process is executed on a computing device and includes prompting a patient to provide encounter information via a virtual assistant during a pre-visit portion of a patient encounter. Encounter information is obtained from the patient in response to the prompting by the virtual assistant.

A method, computer program product, and computing system for automated clinical documentation is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is processed to generate an encounter transcript. At least a portion of the encounter transcript is processed to populate at least a portion of a medical record associated with the patient encounter.

A method, computer program product, and computing system for automating a follow-up process is executed on a computing device and includes prompting a patient to provide encounter information via a virtual assistant during a post-visit portion of a patient encounter. Encounter information is obtained from the patient in response to the prompting by the virtual assistant.

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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Orlando, FL, United States of America

Donald E Owen