IP Library Granted Patent US 12,645,345
Granted Patent B2
US 12,645,345 · App. 19/193,119 · Granted Jun 2, 2026

Method and system for generating a user-sensitive user interface

Inventors: Blake Browder (Dallas, TX); Joy Figarsky (Little Rock, AR)
Assignee: Signet Health Corporation
G06F3/0482G06Q50/265G16H40/20
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Quick Facts
Patent No.
US 12,645,345
App. No.
19/193,119
Granted
Jun 2, 2026
Kind
B2
Abstract

A system for generating a user-sensitive user interface, wherein the system includes a display device; at least a computing device, wherein the computing device comprises: a memory; and at least a processor connected to the memory, wherein the memory contains instructions configuring the at least a processor to: generate an execution operation as a function of a task module; display the execution operations in a user interface; receive, through the user interface, user response data corresponding to one or more of the execution operations; determine, as a function of the user response data, an assigned status corresponding the one or more execution operations using a machine-learning model; generate a second execution operation and an assigned node as a function of the assigned status; generate an updated user interface as a function of the second execution operation and the assigned status; and transmit the updated user interface to the assigned node.

Claims (47)

1 . A system for generating a user-sensitive user interface, wherein the system comprises:

at least a computing device, wherein the computing device comprises:

a memory; and

at least a processor communicatively connected to the memory, wherein the memory contains instructions configuring the at least a processor to:

generate a graphical user interface comprising at least an interactive element associated with at least a visual element;

receive user response data by the graphical user interface corresponding to one or more execution operations;

determine, as a function of the user response data, an assigned status corresponding to the one or more execution operations using a machine-learning model;

generate a second execution operation as a function of the assigned status;

generate an updated user interface as a function of the second execution operation and the assigned status and comprises modifying the at least a visual element including a priority indicator to highlight new tasks generated from the second execution operation; and

transmit the updated user interface to an assigned node, wherein the assigned node is configured to display the updated graphical user interface and further comprises:

identifying a current task load of each of a plurality of assigned nodes by querying the plurality of assigned nodes for information on their active tasks; and

selecting an end user from at least one assigned node of the plurality of assigned nodes with a least number of pending tasks.

2 . The system of claim 1 , wherein receiving the user response data comprises receiving the user response data using a chatbot interface configured to receive a textual response style detailing an effectiveness of the one or more execution operations.

3 . The system of claim 1 , wherein determining the assigned status comprises:

determining a tone of the user response data using a tonality classifier; and

determining the assigned status as a function of the tone of the user response data.

4 . The system of claim 1 , wherein generating the second execution operation comprises generating the second execution operation as a function of a level of effectiveness of the assigned status.

5 . The system of claim 1 , wherein the updated user interface comprises contextual prompts related to the second execution operation.

6 . The system of claim 1 , wherein transmitting the updated user interface to the assigned node comprises:

classifying the second execution operation to an end user pool; and

selecting an end user from the end user pool wherein the end user is associated with the assigned node.

7 . The system of claim 6 , wherein transmitting the updated user interface to the assigned node comprises:

generating a second assigned node as a function of the second execution operation being declined by the assigned node; and

reclassifying to a second end user within the end user pool.

8 . The system of claim 1 , wherein transmitting the updated user interface comprises transmitting the updated user interface to the assigned node at specific intervals as a function of system requirements.

9 . A method for generating a user-sensitive user interface, wherein the method comprises:

generating, using at least a processor, a graphical user interface comprising at least an interactive element associated with at least a visual element;

receiving, using the at least a processor, user response data by the graphical user interface corresponding to one or more execution operations;

determining, using the at least a processor and as a function of the user response data, an assigned status corresponding to the one or more execution operations using a machine-learning model;

generating, using the at least a processor, a second execution operation as a function of the assigned status;

generating, using the at least a processor, an updated user interface as a function of the second execution operation and the assigned status and comprises modifying the at least a visual element including a priority indicator to highlight new tasks generated from the second execution operation; and

transmitting, using the at least a processor, the updated user interface to an assigned node, wherein the assigned node is configured to display the updated graphical user interface and further comprises:

identifying a current task load of each of a plurality of assigned nodes by querying the plurality of assigned nodes for information on their active tasks; and

selecting an end user from at least one assigned node of the plurality of assigned nodes with a least number of pending tasks.

10 . The method of claim 9 , wherein receiving the user response data comprises receiving the user response data using a chatbot interface configured to receive a textual response style detailing an effectiveness of the one or more execution operations.

11 . The method of claim 9 , wherein determining the assigned status comprises:

determining a tone of the user response data using a tonality classifier; and

determining the assigned status as a function of the tone of the user response data.

12 . The method of claim 9 , wherein generating the second execution operation comprises generating the second execution operation as a function of a level of effectiveness of the assigned status.

13 . The method of claim 9 , wherein the updated user interface comprises contextual prompts related to the second execution operation.

14 . The method of claim 9 , wherein transmitting the updated user interface to the assigned node comprises:

classifying the second execution operation to an end user pool; and

selecting an end user from the end user pool wherein the end user is associated with the assigned node.

15 . The method of claim 14 , wherein transmitting the updated user interface to the assigned node comprises:

generating a second assigned node as a function of the second execution operation being declined by the assigned node; and

reclassifying to a second end user within the end user pool.

16 . The method of claim 9 , wherein transmitting the updated user interface comprises transmitting the updated user interface to the assigned node at specific intervals as a function of system requirements.

Assignments (2)
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE PREVIOUSLY RECORDED ON REEL 72292 FRAME 767. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Dec 16, 2025
From: SIGNET HEALTH CORPORATION
To: BH OPERATIONS, LLC
Reel/Frame 073992/0817 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 31, 2025
From: SIGNET HEALTH CORPORATION
To: BEHAVIORAL HEALTH OPERATIONS, LLC
Reel/Frame 072292/0767 →
Continuity (2)
Continuation 18957744 · Nov 23, 2024
Related Publication 20260147445A1 · May 28, 2026
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