IP Library Granted Patent US 12,651,657
Granted Patent B2
US 12,651,657 · App. 17/493,064 · Granted Jun 9, 2026

Systems and methods for initiating an updated user ameliorative plan

Inventor: Kenneth Neumann (Lakewood, CO)
Assignee: KPN INNOVATIONS, LLC
G16H20/00G06N20/00
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Quick Facts
Patent No.
US 12,651,657
App. No.
17/493,064
Granted
Jun 9, 2026
Kind
B2
Abstract

A system for initiating an updated user ameliorative plan includes a processor configured to identify a user ameliorative plan as a function of a user identifier from a user client device, obtain a periodic longevity factor, determine a user adherence factor, wherein determining further comprises identifying a progression locus as a function of the user ameliorative plan and the periodic longevity factor, receiving a user response, and determining the user adherence factor as a function of the progression locus and the adherence correlator, generate an updated user ameliorative plan as a function of the user adherence factor, and initiate the updated user ameliorative plan.

Claims (54)

1 . A system for initiating an updated user ameliorative plan the system comprising:

a processor, wherein the processor is configured to:

identify a user ameliorative plan as a function of a user identifier from a user client device;

obtain a periodic longevity factor;

generate a user adherence factor using an informed advisor, wherein generating the user adherence factor comprises:

receiving, using a graphical user interface, a spoken command from the informed advisor;

converting, using the processor, the spoken command into a textual output;

displaying, using the graphical user interface, the textual output;

identify a progression locus as a function of the user ameliorative plan and the periodic longevity factor;

determine the user adherence factor as a function of the progression locus, wherein determining the user adherence factor further comprises:

receiving an adherence training set correlating a plurality of progression locus and a plurality of user responses to adherence factors;

training an adherence machine-learning model, wherein the adherence machine-learning model is trained as a function of the adherence training set, and wherein the training includes applying domain restrictions to the adherence training set to remove artifacts in the adherence training set to improve an accuracy of the adherence machine-learning model; and

determining the user adherence factor as a function of the adherence machine-learning model;

generate an updated user ameliorative plan as a function of the user adherence factor; and

initiate the updated user ameliorative plan.

2 . The system of claim 1 , wherein obtaining the periodic longevity factor further comprises receiving at least a health measurement as a function of a sensor.

3 . The system of claim 1 , wherein obtaining the periodic longevity factor further comprises receiving an informed advisor input.

4 . The system of claim 1 , wherein identifying the progression locus further comprises:

determining a buffer zone as a function of the user ameliorative plan; and

identifying the progression locus as a function of the buffer zone and the periodic longevity factor.

5 . The system of claim 1 , wherein generating the updated user ameliorative plan further comprises:

identifying an optimized user adherence factor; and

generating the updated user ameliorative plan as a function of the optimized user adherence factor.

6 . The system of claim 5 , wherein identifying the optimized user adherence factor further comprises determining a modification element and identifying the optimized user adherence factor as a function of the modification element.

7 . The system of claim 1 , wherein initiating the updated user ameliorative plan further comprises transmitting the updated user ameliorative plan to the user client device.

8 . The system of claim 1 , wherein determining the user adherence factor further comprises identifying a compliance element.

9 . The system of claim 1 , wherein generating the user adherence factor further comprises receiving a user response, wherein the user response further comprises identifying a routine element.

10 . A method for initiating an updated user ameliorative plan the method comprising:

identifying, by a processor, a user ameliorative plan as a function of a user identifier from a user client device;

obtaining, by the processor, a periodic longevity factor;

generating, by the processor, a user adherence factor using an informed advisor, wherein generating the user adherence factor comprises:

receiving, using a graphical user interface, a spoken command from the informed advisor;

converting, using the processor, the spoken command into a textual output;

displaying, using the graphical user interface, the textual output;

identifying, by the processor, a progression locus as a function of the user ameliorative plan and the periodic longevity factor;

determining, by the processor, the user adherence factor as a function of the progression locus, wherein determining the user adherence factor further comprises:

receiving an adherence training set correlating a plurality of progression locus and a plurality of user responses to adherence factors;

training an adherence training set correlating a plurality of progression locus and a plurality of user responses to adherence factors;

training an adherence machine-learning model, wherein the adherence machine-learning model is trained as a function of the adherence training set, and wherein the training includes applying domain restrictions to the adherence training set to remove artifacts in the adherence training set to improve an accuracy of the adherence machine-learning model; and

determining the user adherence factor as a function of the adherence machine-learning model;

generating, by the processor, an updated user ameliorative plan as a function of the user adherence factor; and

initiating, by the processor, the updated user ameliorative plan.

11 . The method of claim 10 , wherein obtaining the periodic longevity factor further comprises receiving at least a health measurement as a function of a sensor.

12 . The method of claim 10 , wherein obtaining the periodic longevity factor further comprises receiving an informed advisor input.

13 . The method of claim 10 , wherein identifying the progression locus further comprises:

determining a buffer zone as a function of the user ameliorative plan; and

identifying the progression locus as a function of the buffer zone and the periodic longevity factor.

14 . The method of claim 11 , wherein generating the updated user ameliorative plan further comprises:

identifying an optimized user adherence factor; and

generating the updated user ameliorative plan as a function of the optimized user adherence factor.

15 . The method of claim 14 , wherein identifying the optimized user adherence factor further comprises determining a modification element and identifying the optimized user adherence factor as a function of the modification element.

16 . The method of claim 10 , wherein initiating the updated user ameliorative plan further comprises transmitting the updated user ameliorative plan to the user client device.

17 . The method of claim 10 , wherein determining the user adherence factor further comprises identifying a compliance element.

18 . The method of claim 10 , wherein generating the user adherence factor further comprises receiving a user response, wherein the user response further comprises identifying a routine element.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 22, 2021
From: NEUMANN, KENNETH
To: KPN INNOVATIONS, LLC.
Reel/Frame 057875/0957 →
Continuity (2)
Continuation In Part 16668369 · Oct 30, 2019
Related Publication 20220028511A1 · Jan 27, 2022
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