IP Library Granted Patent US 11,321,834
Granted Patent B2
US 11,321,834 · App. 16/802,369 · Granted May 3, 2022

Method and system for computer-aided triage

Inventors: Christopher Mansi (San Francisco, CA); David Golan (San Francisco, CA)
Assignee: Viz.ai Inc.
G06T7/0012A61B5/4064G06T7/11G16H30/20G16H30/40G16H40/20G16H50/20G16H80/00H04L67/12A61B5/002A61B5/02007A61B5/7264G06T2207/10016G06T2207/10081G06T2207/10088G06T2207/20072G06T2207/20076G06T2207/20081G06T2207/30016G06T2207/30101G06T2207/30172
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Quick Facts
Patent No.
US 11,321,834
App. No.
16/802,369
Granted
May 3, 2022
Kind
B2
Abstract

A system for computer-aided triage can include a router, a remote computing system, and a client application. A method for computer-aided triage can include determining a parameter associated with a data packet, determining a treatment option based on the parameter, and transmitting information to a device associated with a second point of care.

Claims (46)

1. A method for computer-aided triage, the method comprising:

during a triage process of a patient, wherein the patient arrives initially at a first point of care during the triage process:

at a computing system, receiving a set of images associated with the patient from the first point of care;

at the computing system, detecting a potential pathology from the set of images based on a processing of the set of images;

upon detecting the potential pathology from the set of images, automatically:

determining, at the computing system, a specialist associated with a second point of care;

notifying the specialist of the potential pathology;

displaying a compressed version of the set of images on a first device associated with the specialist;

displaying a high-resolution version of the set of images on a second device associated with the specialist; and

in response to notifying the specialist, receiving an input from the specialist from at least one of the first and second devices, wherein the input communicates information related to a transfer of the patient to the second point of care.

2. The method of claim 1 , wherein the compressed version of the set of images is absent of patient metadata.

3. The method of claim 1 , further comprising, at the computing system, determining a procedure associated with the potential pathology, wherein the specialist associated with the second point of care is selected, at least in part, based on an association with the procedure.

4. The method of claim 3 , wherein the procedure comprises a mechanical thrombectomy.

5. The method of claim 1 , wherein the first device is a mobile user device.

6. The method of claim 1 , wherein notifying the specialist comprises sending an email to an account associated with the specialist.

7. The method of claim 1 , wherein the first device comprises at least one of a mobile device and a workstation.

8. The method of claim 7 , wherein the first device is a mobile device.

9. The method of claim 1 , wherein notifying the specialist comprises presenting a notification on the first device, the method further comprising:

monitoring for an input associated with the notification;

displaying the compressed version of the set of images on the first device after receipt of the input; and

when the input is not received within a predetermined time threshold, determining a second specialist and presenting the notification on a third device associated with the second specialist.

10. A method for computer-aided triage, the method comprising:

during a triage process of a patient, wherein the patient arrives initially at a first point of care during the triage process:

at a computing system, receiving a set of images associated with the patient from the first point of care;

at the computing system, detecting a potential pathology from the set of images based on a processing of the set of images;

upon detecting the potential pathology from the set of images, automatically:

determining, at the computing system, a specialist associated with a second point of care;

notifying the specialist of the potential pathology;

monitoring for an input associated with the notification;

when the input is not received within a predetermined time threshold, determining a second specialist and presenting the notification to the second specialist;

in response to presenting the notification to the second specialist, receiving an input from the second specialist from a device associated with the second specialist, wherein the input communicates information related to a transfer of the patient to the second point of care.

11. The method of claim 10 , wherein the detecting a potential pathology from the set of images based on a processing of the set of images supplements a standard radiology workflow.

12. The method of claim 10 , wherein determining the specialist associated with the second point of care comprises determining a specialist associated with a procedure associated with the potential pathology.

13. The method of claim 12 , wherein the procedure comprises a mechanical thrombectomy.

14. The method of claim 10 , wherein notifying the specialist comprises sending an email to an account associated with the specialist.

15. The method of claim 10 , wherein the device comprises at least one of a mobile device and a workstation.

16. The method of claim 15 , wherein the device is a mobile device.

17. The method of claim 16 , further comprising displaying a high-resolution version of the images on a second device associated with the second specialist.

18. The method of claim 11 , wherein the standard radiology workflow takes a first amount of time and wherein the specialist is notified in a second amount of time shorter than the first amount of time, wherein the second amount of time is less than 8 minutes.

19. The method of claim 1 , wherein the second device is the first device.

20. The method of claim 11 , wherein the automatically detecting a potential pathology from the set of images based on an automated processing of the set of images is not an official diagnosis.

21. The method of claim 17 , wherein the second device is the first device.

22. The method of claim 1 , wherein the computing system comprises a remote computing system remote from the first point of care.

23. The method of claim 10 , wherein the computing system comprises a remote computing system remote from the first point of care.

24. The method of claim 1 , wherein the detecting a potential pathology from the set of images based on a processing of the set of images supplements a standard radiology workflow.

25. The method of claim 24 , wherein the standard radiology workflow takes a first amount of time and wherein the specialist is notified in a second amount of time shorter than the first amount of time, wherein the second amount of time is less than 8 minutes.

Assignments (2)
SECURITY INTEREST Recorded Feb 8, 2023
From: VIZ.AI, INC.
To: CANADIAN IMPERIAL BANK OF COMMERCE
Reel/Frame 062633/0161 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 26, 2020
From: MANSI, CHRISTOPHER; GOLAN, DAVID
To: VIZ.AI INC.
Reel/Frame 051941/0991 →
Continuity (7)
Continuation 16418908 · May 21, 2019
Continuation 16012495 · Jun 19, 2018
Continuation 16012458 · Jun 19, 2018
Provisional Application 62535970 · Jul 24, 2017
Provisional Application 62535973 · Jul 24, 2017
Provisional Application 62521968 · Jun 19, 2017
Related Publication 20200193599A1 · Jun 18, 2020