US 2023/0410223 A1Published application

Digital platform for health users

AssigneeRykov LLC

InventorsOwen N. Dobson, Melissa K. Dobson, Austin S. Dobson

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Abstract

The system disclosed allows a user to specify an illness, disease, or health condition, mental or physical or otherwise, and interconnect with other users having similar diagnoses, symptoms, conditions, complications, treatments, or otherwise. The patient user may be connected to a caregiver who links into the system to connect with other caregivers as well. The digital platform is a health web designed to interconnect patients, friends, families, doctors or others who seek personalized medical information pertaining to the experiences of others, creating models for treatment of persons within and external to medical settings. Such models may be real or simulated by artificial intelligence (AI). In creating decision trees within the digital platform, real and synthetic data can be incorporated. The system creates an AI-driven large learning model (LLM) to impact persons health and provider care, globally.

Claims20

Dependent claims

A digital platform comprising:

one or more servers including a plurality of health data;
one or more processors programmed to create profiles of one or more users, each profile including data tailored to a designated person, wherein the data includes parameters input by the user and extracted data from digital profiling, wherein the parameters comprise user demographics and health status;
and
a shared database directed by the server to store the data and the updated data;
wherein the server is programmed to:
(a) receive a request from the user at a user interface to create or join at least one online patient community categorized by one or more health conditions, (b) receive a first request from the user to delineate personal identifiable information (PII) and de-identify the PII as de-identified data, (c) receive a second request from the user to authorize release of the de-identified data to the shared database, and (d) access the data by way of the processor, wherein the processor uses machine learnings and artificial intelligence (AI) driven analytics to predict outcomes, treatments, and disease progression using user-derived data.

3 more elements

Dependencies are inferred from the claim text.

Facts

Application: 18/241,284Filed 1 Sep 2023
Priority: 23 Apr 2018
Published: 21 Dec 2023
Term ends: Not estimatedThe source records don’t support an estimate.

Classification13 codes

G16H 50/20
ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or…: for…
G06Q 10/42
Business processes related to social networking or social networking services: determination of affinities or common interests between users
G06Q 10/44
Business processes related to social networking or social networking services: identification of trends within social networks, e.g.…
G06Q 10/48
Business processes related to social networking or social networking services: using social graphs

Family

Application62/661,163Us provisional application · filed 23 Apr 2018
Application16/392,623Continuation · filed 24 Apr 2019
Application16/634,896Continuation in part · filed 29 Jan 2020
Application18/241,284Continuation in part
Application16/634,896Continuation
US 11,901,073 B2Related patent
US 2020/0234825 A1Published application
US 2020/0342545 A1Published application
US 2023/0410223 A1This patent

From the US filing history. Foreign family members aren’t listed.

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