IP Library Granted Patent US 11,488,299
Granted Patent B2
US 11,488,299 · App. 16/917,415 · Granted Nov 1, 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 11,488,299
App. No.
16/917,415
Granted
Nov 1, 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 (44)

1. A method for computer-aided triage, the method comprising, during triage of a patient:

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

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

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

determining, at the computing system, a clinical trial associated with the potential pathology;

selecting, at the computing system, a research coordinator from a set of multiple research coordinators based on the clinical trial;

notifying the research coordinator on a first mobile device associated with the research coordinator;

displaying a compressed version of the set of DICOM images on the first mobile device;

receiving an input from the research coordinator at the first mobile device; and

establishing a communication between the research coordinator and a specialist via a first client application executing on the first mobile device and a second client application executing on a second mobile device of the specialist.

2. The method of claim 1 , further comprising:

determining, at the computing system, the specialist:

notifying the specialist at the first mobile device; and

displaying the compressed version of the set of images on the first mobile device.

3. The method of claim 2 , wherein the specialist is associated with a second point of care.

4. The method of claim 3 , wherein the first input initiates a transfer request of the patient from the first point of care to the second point of care upon transfer request receipt.

5. The method of claim 4 , wherein the communication comprises a notification to the first client application, wherein the notification comprises information associated with the transfer.

6. The method of claim 5 , wherein the information associated with the transfer comprises an estimated time of arrival of the patient at the second point of care.

7. The method of claim 1 , wherein the input comprises a trigger, wherein the trigger initiates a consent form to be transmitted to the patient.

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

9. A method for computer-aided triage, the method comprising, during triage of a patient:

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

detecting a potential pathology from the set of images;

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

determining, at the computing system, a clinical trial associated with the potential pathology;

determining, at the computing system, a research coordinator associated with the clinical trial;

notifying the research coordinator on a first mobile device associated with the research coordinator;

receiving an input from the research coordinator at the computing system, wherein the input comprises an acceptance of enrolling the patient in the clinical trial; and

in response to receiving the acceptance, establishing a communication between a specialist and the research coordinator, wherein establishing the communication comprises enabling messaging between the specialist and the research coordinator via a first client application executing on the first mobile device and a second client application executing on a second mobile device associated with the specialist.

10. The method of claim 9 , further comprising establishing communication between the first research coordinator and a second research coordinator.

11. The method of claim 9 , further comprising displaying a second set of images on the first mobile device, wherein the second set of images is a compressed version of the first set of images.

12. The method of claim 9 , further comprising displaying a second set of images on the first mobile device, wherein the second set of images is an annotated version of the first set of images.

13. The method of claim 9 , wherein the input comprises a trigger, wherein the trigger initiates a consent form associated with the clinical trial to be transmitted to the patient.

14. The method of claim 13 , wherein the input is received from the research coordinator at the first client application.

15. The method of claim 9 , further comprising calculating, at the computing system, a value of a parameter associated with the potential pathology and comparing the value with a set of predetermined criteria.

16. The method of claim 15 , wherein the potential pathology comprises an intracerebral hemorrhage, and wherein the parameter comprises a volume.

17. The method of claim 9 , further comprising, upon detecting the potential pathology from the set of images, automatically:

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

notifying the specialist at a mobile device associated with the specialist, wherein the specialist is notified in a second amount of time shorter than the first amount of time.

18. The method of claim 9 , further comprising receiving an input from the specialist, wherein the input initiates a transfer request.

19. The method of claim 9 , wherein detecting the potential pathology comprises, at the computing system, automatically detecting the potential pathology from the set of images based on an automated processing of the set of images.

20. The method of claim 7 , further comprising:

receiving a signed version of the consent form; and

in response to receiving the signed version of the consent form, enabling access to additional patient information at the first mobile device.

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 Jun 30, 2020
From: MANSI, CHRISTOPHER; GOLAN, DAVID
To: VIZ.AI INC.
Reel/Frame 053092/0678 →
Continuity (8)
Continuation 16688721 · Nov 19, 2019
Continuation In Part 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 20200334811A1 · Oct 22, 2020