Patent ID: 11901073
Assignee: RYKOV LLC
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 16:
17. An electronic health network system comprising:
a patient controlled electronic health system comprising one or more health records, the health record shared-with a plurality of health provider systems and external databases;
one or more processors programmed to update profiles of patient users and provider users, wherein the profiles are optimized by a mathematical model;
at least one database to centralize data, to collect and analyze patient data and health provider data, alone or in combination;
one or more servers to store the patient data and the health provider data, alone or in combination, the server (a) establishing social connections to create patient communities and (b) utilizing predictive analytics to support decision-making in a data analytics platform;
the server programmed to:
create the patient user profile through a first electronic device and having access to a patient user interface, wherein the mathematical model creates a structured patient user interface that personalizes recommendations through knowledge graphs and data trends generated by artificial intelligence;
create the provider user profile associated with the patient user profile and accessible via a provider user interface, wherein the one or more health records requested from the patient are stored in a centralized database associated with the data analytics platform;
receive a request from a patient user of the social health network, for information associated with the patient user at a first external system, wherein the information requested comprises information identifying the patient user and a health provider user associated with the patient user;
determine if the first external system is authorized to transmit the information requested;
in response to a determination that the first external system is authorized to transmit the information requested, processing the request and extracting the patient record of the patient user from the first external system to provide extracted data;
transmit the extracted data directly to the social health network;
separate the extracted data into subsets, wherein a first subset comprises health information with the patient user identified and not available for sharing with a second external system, and a second subset comprises health
information of the patient user available for sharing with the second external system when the patient user is de-identified, wherein the second external system is different from the first external system;
de-identify a portion of the second subset of the extracted data to provide de-identified data of the patient user; and
in response to a query from the second external system, perform data analytics using the extracted data including the de-identified data,
wherein the step to de-identify occurs prior to the step to perform data analytics, thereby protecting privacy of the patient user, and
access the database by way of the processor to predict deep learning models in personalized health comprising one or more of—diagnosis, treatment, healthcare operations, administration and cost, and alternative healthcare solutions.