IP Library Granted Patent US 10,546,655
Granted Patent B2
US 10,546,655 · App. 16/058,951 · Granted Jan 28, 2020

Automated clinical documentation system and method

Inventors: Donald E. Owen (Orlando, FL); Daniel Paulino Almendro Barreda (London, GB); Dushyant Sharma (Woburn, MA)
Assignee: Nuance Communications, Inc.
G16H10/60A61B5/7405G06F3/16G06F16/637G06F16/904G06F17/243G06F17/2785G06F17/28G06F21/6245G06K9/00221G06K9/00288G06K9/00342G06K9/00369G06K9/00664G06K9/00771G06K9/6288G06K19/07762G06N3/006G06T7/00G10L15/08G10L17/005G10L21/0232G11B27/10G16B50/00G16H10/20G16H15/00G16H30/00G16H30/20G16H30/40G16H40/20G16H40/60G16H40/63G16H50/20G16H50/30G16H80/00H04L51/02H04L51/20H04N7/183H04R1/326H04R3/005H04R3/12G06T2207/10024G06T2207/10044G06T2207/10048G06T2207/10116G06T2207/10132G10L15/1815G10L15/22G10L15/265G10L2021/02082H04N7/181H04R1/406H04R3/02H04R2420/07H04S2400/15
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Quick Facts
Patent No.
US 10,546,655
App. No.
16/058,951
Granted
Jan 28, 2020
Kind
B2
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.

Claims (54)

1. A computer-implemented method executed on a computing device, comprising:

obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information obtained via one or more machine vision systems;

processing the machine vision encounter information to identify one or more humanoid shapes, wherein processing the machine vision encounter information includes identifying a first humanoid shape of the one or more humanoid shapes and tracking the movement of the first humanoid shape within a monitored space, and adding a second humanoid shape within the monitored space;

steering one or more audio recording beams toward one of the first and second humanoid shapes to capture audio encounter information;

processing the encounter information to generate at least a portion of an encounter transcript; and

processing at least the portion of the encounter transcript to populate at least a portion of a medical record associated with the patient encounter.

2. The computer-implemented method of claim 1 wherein tracking the movement of the one or more humanoid shapes within the monitored space includes:

removing an existing humanoid shape from the one or more humanoid shapes when the existing humanoid shape leaves the monitored space.

3. The computer-implemented method of claim 1 wherein the audio encounter information is included within the encounter information.

4. The computer-implemented method of claim 1 wherein the one or more machine vision systems includes one or more of:

an RGB imaging system;

an infrared imaging system;

an ultraviolet imaging system;

a laser imaging system;

an X-ray imaging system;

a SONAR imaging system;

a RADAR imaging system; and

a thermal imaging system.

5. A computer program product residing on a non-transitory computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:

obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information obtained via one or more machine vision systems;

processing the machine vision encounter information to identify one or more humanoid shapes, wherein processing the machine vision encounter information includes identifying a first humanoid shape of the one or more humanoid shapes and tracking the movement of the first humanoid shape within a monitored space, and adding a second humanoid shape within the monitored space;

steering one or more audio recording beams toward one of the first and second humanoid shapes to capture audio encounter information;

processing the encounter information to generate at least a portion of an encounter transcript; and

processing at least the portion of the encounter transcript to populate at least a portion of a medical record associated with the patient encounter.

6. The computer program product of claim 5 wherein tracking the movement of the one or more humanoid shapes within the monitored space includes:

removing an existing humanoid shape from the one or more humanoid shapes when the existing humanoid shape leaves the monitored space.

7. The computer program product of claim 5 wherein the audio encounter information is included within the encounter information.

8. The computer program product of claim 5 wherein the one or more machine vision systems includes one or more of:

an RGB imaging system;

an infrared imaging system;

an ultraviolet imaging system;

a laser imaging system;

an X-ray imaging system;

a SONAR imaging system;

a RADAR imaging system; and

a thermal imaging system.

9. A computing system including a processor and memory configured to perform operations comprising:

obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information obtained via one or more machine vision systems;

processing the machine vision encounter information to identify one or more humanoid shapes, wherein processing the machine vision encounter information includes identifying a first humanoid shape of the one or more humanoid shapes and tracking the movement of the first humanoid shape within a monitored space, and adding a second humanoid shape within the monitored space;

steering one or more audio recording beams toward one of the first and second humanoid shapes to capture audio encounter information;

processing the encounter information to generate at least a portion of an encounter transcript; and

processing at least the portion of the encounter transcript to populate at least a portion of a medical record associated with the patient encounter.

10. The computing system of claim 9 wherein tracking the movement of the one or more humanoid shapes within the monitored space includes:

removing an existing humanoid shape from the one or more humanoid shapes when the existing humanoid shape leaves the monitored space.

11. The computing system of claim 9 wherein the audio encounter information is included within the encounter information.

12. The computing system of claim 9 wherein the one or more machine vision systems includes one or more of:

an RGB imaging system;

an infrared imaging system;

an ultraviolet imaging system;

a laser imaging system;

an X-ray imaging system;

a SONAR imaging system;

a RADAR imaging system; and

a thermal imaging system.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 9, 2023
From: NUANCE COMMUNICATIONS, INC.
To: MICROSOFT TECHNOLOGY LICENSING, LLC
Reel/Frame 065532/0152 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 13, 2018
From: OWEN, DONALD E; BARREDA, DANIEL PAULINO ALMENDRO; SHARMA, DUSHYANT
To: NUANCE COMMUNICATIONS, INC.
Reel/Frame 046867/0080 →
Cited By (1)
US 12,525,239