# US20250095861A1: Collaborative, Continuous, And Comprehensive Risk Management System

- Kind: Published application
- Family: Collaborative, Continuous, And Comprehensive Risk Management System (https://www.intellectualfrontiers.com/patents/collaborative-continuous-and-comprehensive-risk-management-system)
- USPTO status: Response to Non-Final Office Action Entered and Forwarded to Examiner (as of 2026-07-17; record read 2026-09-27)
- Application: 18963451
- Filed: 2024-11-27
- Published: 2025-03-20
- Inventor: Shahid N. Shah
- Rights holder: Intellectual Frontiers LLC
- Classifications (CPC): G16H 50/30, G16H 10/60

## 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

A system and method for generating a continuous and adaptive risk profile through multi-source data integration is provided. The system includes a processor and a memory operatively connected to the processor. The memory stores instructions that, when executed by the processor, cause the system to retrieve and integrate structured data, semi-structured data, and unstructured data. The processor is further configured to generate the risk profile by executing a real-time risk scoring algorithm. The processor is further configured to monitor and recalibrate the risk profile continuously at predefined time intervals. The system is coupled to a computer-implemented risk mitigation apparatus that is configured to continuously adapt interventions in response to the continuous and dynamic risk profile.

## Independent claims

1. A computer-implemented system for generating a continuous and adaptive patient risk profile through multi-source data integration, the system comprising: a processor; and a memory operatively connected to the processor, the memory storing instructions that, when executed by the processor, cause the system to: retrieve and integrate patient data from structured data from Electronic Health Records (EHRs), semi-structured data from monitoring devices, and unstructured data from external sources, wherein each category of patient data is subjected to a source-specific normalization and validation process prior to integration; generate a patient risk profile by executing a real-time risk scoring algorithm, wherein the patient risk profile is derived from the aggregated and pre-processed patient data; apply a dynamic weighting to each type of patient data, said weighting being determined by predefined contextual rules, wherein said contextual rules incorporate reliability factor of the data source and relevance of the data to the patient's current health context in determining the weighting; adjust the applied weighting in real-time based on detected deviations from baseline values within the patient data; and monitor and recalibrate the patient risk profile continuously at predefined time intervals, wherein the frequency and timing of recalibration are dynamically adjusted based on a duration and magnitude of deviations in the patient data from baseline values.

17. A computer-implemented method for generating a continuous and adaptive patient risk profile through multi-source data integration, the method comprising: retrieving and integrating patient data from structured data from Electronic Health Records (EHRs), semi-structured data from monitoring devices, and unstructured data from external sources, wherein each category of patient data is subjected to a source-specific normalization and validation process prior to integration; generating a patient risk profile by executing a real-time risk scoring algorithm, wherein the patient risk profile is derived from the aggregated and pre-processed patient data; applying a dynamic weighting to each type of patient data, wherein said weighting is determined by predefined contextual rules, said rules incorporating a reliability factor of the data source and relevance of the data to the patient's current health context; adjusting the applied weighting in real-time based on detected deviations from baseline values within the patient data; and monitoring and recalibrating the patient risk profile continuously at predefined time intervals, wherein the frequency and timing of recalibration are dynamically adjusted based on the duration and magnitude of deviations in the patient data from baseline values.

20. A computer-implemented patient risk mitigation apparatus for continuously adapting healthcare interventions in response to a dynamic multi-dimensional patient risk profile, the computer-implemented patient risk mitigation apparatus comprising: a risk profile acquisition interface configured to securely ingest and interpret the multi-dimensional patient risk profile from an external risk assessment engine, wherein the multi-dimensional patient risk profile includes an aggregated clinical and social risk score to collectively indicate a dynamic patient's real-time health risk status; an adaptive treatment protocol synthesizer in operative connection with the risk profile acquisition interface, configured to autonomously generate and recalibrate patient-specific one or more treatment protocols in real-time in response to variations in the received multi-dimensional patient risk profile, the one or more patient treatment protocols being specifically targeted at mitigating identified one or more risk factors indicative through the multi-dimensional patient risk profile; and a machine learning-driven next-best-action computational module, in communication with the adaptive treatment protocol synthesizer, configured to analyze the multi-dimensional patient risk profile and the one or more treatment protocols, and produce one or more hyper-personalized next best actions tailored to address the identified one or more risk factors, with each of the one or more next best actions dynamically adjusted to align with updates in the multi-dimensional patient risk profile.

Source: https://www.intellectualfrontiers.com/patents/collaborative-continuous-and-comprehensive-risk-management-system/us20250095861a1