IP Library Granted Patent US 10,809,970
Granted Patent B2
US 10,809,970 · App. 16/271,616 · Granted Oct 20, 2020

Automated clinical documentation system and method

Inventors: Daniel Paulino Almendro Barreda (London, GB); Dushyant Sharma (Woburn, MA); Joel Praveen Pinto (Aachen, DE); Uwe Helmut Jost (Groton, MA); Patrick A. Naylor (Reading, GB)
Assignee: Nuance Communications, Inc.
G06F3/165G06F40/117G06F40/20G06F40/30G06Q10/10G06T7/20G10L15/22G10L15/26G10L15/265G10L15/30G10L25/45G10L25/51G16H10/20G16H10/40G16H10/60G16H15/00G16H50/70H04R1/406H04R3/005G06T2207/30196
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Quick Facts
Patent No.
US 10,809,970
App. No.
16/271,616
Granted
Oct 20, 2020
Kind
B2
Abstract

A method, computer program product, and computing system for obtaining encounter information of a patient encounter, wherein the encounter information includes machine vision encounter information; processing the machine vision encounter information to identify one or more humanoid shapes; and steering one or more audio recording beams toward the one or more humanoid shapes to capture audio encounter information.

Claims (48)

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;

processing the machine vision encounter information to identify one or more humanoid shapes and monitoring trajectories of the one or more humanoid shapes; and

steering one or more audio recording beams toward the one or more humanoid shapes to capture audio encounter information.

2. The computer-implemented method of claim 1 wherein obtaining the encounter information of the patient encounter includes one or more of:

obtaining the encounter information from a medical professional;

obtaining the encounter information from a patient; and

obtaining the encounter information obtaining encounter information from a third party.

3. The computer-implemented method of claim 1 wherein the encounter information further includes audio encounter information.

4. The computer-implemented method of claim 1 wherein processing the machine vision encounter information to identify the one or more humanoid shapes includes:

tracking the movement of the one or more humanoid shapes within a monitored space.

5. The computer-implemented method of claim 4 wherein the one or more humanoid shapes are defined with one or more humanoid models.

6. The computer-implemented method of claim 4 wherein tracking the movement of the one or more humanoid shapes within the monitored space includes:

adding a new humanoid shape to the one or more humanoid shapes when the new humanoid shape enters the monitored space.

7. The computer-implemented method of claim 4 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.

8. 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;

processing the machine vision encounter information to identify one or more humanoid shapes and monitoring trajectories of the one or more humanoid shapes; and

steering one or more audio recording beams toward the one or more humanoid shapes to capture audio encounter information.

9. The computer program product of claim 8 wherein obtaining the encounter information of the patient encounter includes one or more of:

obtaining the encounter information from a medical professional;

obtaining the encounter information from a patient; and

obtaining the encounter information obtaining encounter information from a third party.

10. The computer program product of claim 8 wherein the encounter information further includes audio encounter information.

11. The computer program product of claim 8 wherein processing the machine vision encounter information to identify the one or more humanoid shapes includes:

tracking the movement of the one or more humanoid shapes within a monitored space.

12. The computer program product of claim 11 wherein the one or more humanoid shapes are defined with one or more humanoid models.

13. The computer program product of claim 11 wherein tracking the movement of the one or more humanoid shapes within the monitored space includes:

adding a new humanoid shape to the one or more humanoid shapes when the new humanoid shape enters the monitored space.

14. The computer program product of claim 11 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.

15. 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;

processing the machine vision encounter information to identify one or more humanoid shapes and monitoring trajectories of the one or more humanoid shapes; and

steering one or more audio recording beams toward the one or more humanoid shapes to capture audio encounter information.

16. The computing system of claim 15 wherein obtaining the encounter information of the patient encounter includes one or more of:

obtaining the encounter information from a medical professional;

obtaining the encounter information from a patient; and

obtaining the encounter information obtaining encounter information from a third party.

17. The computing system of claim 15 wherein the encounter information further includes audio encounter information.

18. The computing system of claim 15 wherein processing the machine vision encounter information to identify the one or more humanoid shapes includes:

tracking the movement of the one or more humanoid shapes within a monitored space.

19. The computing system of claim 18 wherein the one or more humanoid shapes are defined with one or more humanoid models.

20. The computing system of claim 18 wherein tracking the movement of the one or more humanoid shapes within the monitored space includes:

adding a new humanoid shape to the one or more humanoid shapes when the new humanoid shape enters the monitored space.

21. The computing system of claim 18 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.

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, 2019
From: BARREDA, DANIEL PAULINO ALMENDRO; SHARMA, DUSHYANT; PINTO, JOEL PRAVEEN; JOST, UWE HELMUT; NAYLOR, PATRICK A
To: NUANCE COMMUNICATIONS, INC.
Reel/Frame 050365/0555 →
Continuity (2)
Provisional Application 62638809 · Mar 5, 2018
Related Publication 20190272905A1 · Sep 5, 2019
Cited By (1)
US 12,321,667