Ambient clinical intelligence system and method

Patent metadata

Field	Value
Publication number	US-11227679-B2
Application number	US-201916442247-A
Country	US
Kind code	B2
Filing date	Jun 14, 2019
Priority date	Jun 14, 2019
Publication date	Jan 18, 2022
Grant date	Jan 18, 2022

Abstract

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.

First claim

What is claimed is:

1. A computer-implemented method, executed on a computing device, comprising:
obtaining encounter information during a patient encounter, wherein the encounter information includes machine vision encounter information and audio encounter information;
processing the machine vision encounter information and the audio encounter information of the encounter information to detect the execution of a physical event during the patient encounter, thus defining a detected physical event, wherein the detected physical event is associable with a verbal component identified in the audio encounter information and the physical event identified in the machine vision encounter information, wherein the detected physical event is identified, at least in part, by comparing the machine vision encounter information to a physical events datasource; and
deriving information for the detected physical event, wherein the information derived for the detected physical event includes the machine vision encounter information and the audio encounter information, and wherein deriving information for the detected physical event includes:
generating a text-based description of the detected physical event identified in the machine vision encounter information and the physical events datasource;
generating a text-based transcription of the verbal component identified in the audio encounter information associated with the detected physical event; and
annotating a medical record to include the text-based description of the detected physical event identified in the machine vision encounter information and the text-based transcription of the verbal component identified in the audio encounter information associated with the detected physical event.

2. The computer-implemented method of claim 1 wherein obtaining encounter information during a patient encounter includes:
utilizing a machine vision system to obtain machine vision encounter information during the patient encounter.

3. The computer-implemented method of claim 1 wherein deriving information for the detected physical event includes:
associating the detected physical event with a defined procedure; and
memorializing the execution of the defined procedure.

4. The computer-implemented method of claim 1 wherein deriving information for the detected physical event includes:
determining the appropriateness of the detected physical event.

5. The computer-implemented method of claim 4 wherein determining the appropriateness of the detected physical event includes one or more of:
determining whether the detected physical event violates any professional rules;
determining whether the detected physical event violates any civil rules; and
determining whether the detected physical event violates any criminal laws.

6. The computer-implemented method of claim 1 wherein the detected physical event includes the use of a physical device.

7. 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 during a patient encounter, wherein the encounter information includes machine vision encounter information and audio encounter information;
processing the machine vision encounter information and the audio encounter information of the encounter information to detect the execution of a physical event during the patient encounter, thus defining a detected physical event, wherein the detected physical event is associable with a verbal component identified in the audio encounter information and the physical event identified in the machine vision encounter information, wherein the detected physical event is identified, at least in part, by comparing the machine vision encounter information to a physical events datasource; and
deriving information for the detected physical event, wherein the information derived for the detected physical event includes the machine vision encounter information and the audio encounter information, and wherein deriving information for the detected physical event includes:
generating a text-based description of the detected physical event identified in the machine vision encounter information and the physical events datasource;
generating a text-based transcription of the verbal component identified in the audio encounter information associated with the detected physical event; and
annotating a medical record to include the text-based description of the detected physical event identified in the machine vision encounter information and the text-based transcription of the verbal component identified in the audio encounter information associated with the detected physical event.

8. The computer program product of claim 7 wherein obtaining encounter information during a patient encounter includes:
utilizing a machine vision system to obtain machine vision encounter information during the patient encounter.

9. The computer program product of claim 7 wherein deriving information for the detected physical event includes:
associating the detected physical event with a defined procedure; and
memorializing the execution of the defined procedure.

10. The computer program product of claim 9 wherein deriving information for the detected physical event includes:
determining the appropriateness of the detected physical event.

11. The computer program product of claim 10 wherein determining the appropriateness of the detected physical event includes one or more of:
determining whether the detected physical event violates any professional rules;
determining whether the detected physical event violates any civil rules; and
determining whether the detected physical event violates any criminal laws.

12. The computer program product of claim 7 wherein the detected physical event includes the use of a physical device.

13. A computing system including a processor and memory configured to perform operations comprising:
obtaining encounter information during a patient encounter, wherein the encounter information includes machine vision encounter information and audio encounter information;
processing the machine vision encounter information and the audio encounter information of the encounter information to detect the execution of a physical event during the patient encounter, thus defining a detected physical event, wherein the detected physical event is associable with a verbal component identified in the audio encounter information and the physical event identified in the machine vision encounter information, wherein the detected physical event is identified, at least in part, by comparing the machine vision encounter information to a physical events datasource; and
deriving information for the detected physical event, wherein the information derived for the detected physical event includes the machine vision encounter information and the audio encounter information, and wherein deriving information for the detected physical event includes:
generating a text-based description of the detected physical event identified in the machine vision encounter information and the physical events datasource;
generating a text-based transcription of the verbal component identified in the audio encounter information associated with the detected physical event; and
annotating a medical record to include the text-based description of the detected physical event identified in the machine vision encounter information and the text-based transcription of the verbal component identified in the audio encounter information

Assignees

• Nuance Communications Inc

Inventors

• Owen Donald E
• Gallopyn Guido Remi Marcel
• Vozila Paul Joseph
• Öz Mehmet Mert
• Hebert Matthieu

Classifications

• G16H10/60

  for patient-specific data, e.g. for electronic patient records · CPC title

• G16H10/20

  for electronic clinical trials or questionnaires · CPC title

• G16H30/40

  for processing medical images, e.g. editing · CPC title

• G06V20/41

  Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items (segmenting video sequences G06V20/49) · CPC title

• G16H40/20

  for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms · CPC title