# US20250157609A1: Computer-Controlled Smart Referrals System And Method

- Kind: Published application
- Family: Computer-Controlled Smart Referrals System And Method (https://www.intellectualfrontiers.com/patents/computer-controlled-smart-referrals-system-and-method)
- USPTO status: Final Rejection Mailed (as of 2026-09-17; record read 2026-09-27)
- Application: 19026240
- Filed: 2025-01-16
- Published: 2025-05-15
- Inventor: Shahid N. Shah
- Rights holder: Intellectual Frontiers LLC
- Classifications (CPC): G16H 20/00, G16H 30/20, G16H 50/30, G16H 30/40, G06F 21/602, G06F 21/6245

## Licence or acquisition

Available for an exclusive or non-exclusive licence, field-of-use licences included, or for acquisition. Terms on inquiry. Write to hello+ip@intellectualfrontiers.com.

## Abstract

An embodiment herein provides a system and method for generating hyper-personalized care pathways. The system includes a data ingestion module configured to receive and process computer executable data from one or more data sources. The system includes a profile generation module operatively coupled to the data ingestion module. The profile generation module is configured to synthesize the computer executable data into a hyper-personalized computer executable profile by applying a machine learning algorithm and predictive analytics. The profile generation module is configured to generate a multi-dimensional computer executable representation of current health status and predicted future healthcare needs of the subject. The system includes a pathway generator module that is configured to determine a set of next best actions for the subject based on the hyper-personalized computer executable profile.

## Independent claims

1. A system for generating hyper-personalized care pathways for a subject, the system comprising: a data ingestion module configured to: receive and process computer executable data from one or more data sources through encrypted communication channels, wherein the computer executable data includes at least one of electronic health records (EHRs), real-time health monitoring data, laboratory results, imaging data, patient preferences, and socio-economic parameters; implement blockchain-based verification protocols to ensure data integrity during transmission; a profile generation module operatively coupled to the data ingestion module, wherein the profile generation module is configured to: generate encrypted data containers for storing the computer executable data; synthesize the computer executable data into a hyper-personalized computer executable profile by applying a machine learning algorithm and predictive analytics while maintaining HIPAA-compliant access controls; generate a multi-dimensional computer executable representation of current health status and predicted future healthcare needs of the subject within the encrypted data containers; and a pathway generator module operatively coupled to the profile generation module, wherein the pathway generator module is configured to: determine a set of next best actions for the subject based on the hyper-personalized computer executable profile while maintaining data privacy through role-based access controls; transmit the next best actions through secure communication protocols, the next best actions comprising dynamically generated computer traceable interventions tailored to one or more clinical and non-clinical parameters associated with the subject; and update the set of next best actions in real-time as new data becomes available with the data ingestion module while maintaining an encrypted audit trail of all updates.

13. A method for generating hyper-personalized care pathways for a subject, comprising: receiving, by a data ingestion module, computer executable data from one or more data sources, wherein the computer executable data includes at least one of electronic health records (EHRs), real-time health monitoring data, laboratory results, imaging data, patient preferences, and socio-economic parameters; synthesizing, by a profile generation module operatively coupled to the data ingestion module, the computer executable data into a hyper-personalized computer executable profile, wherein the synthesis includes: applying a machine learning algorithm to identify patterns within the computer executable data; and generating a multi-dimensional representation of current health status and predicted future healthcare needs of the subject; determining, by a pathway generator module operatively coupled to the profile generation module, a set of next best actions for the subject based on the hyper-personalized computer executable profile, wherein the next best actions comprise dynamically generated computer traceable interventions tailored to one or more clinical and non-clinical parameters associated with the subject; and updating the set of next best actions in real-time as new data becomes available with the data ingestion module.

Source: https://www.intellectualfrontiers.com/patents/computer-controlled-smart-referrals-system-and-method/us20250157609a1