Continuous Risk Management System for Dynamic Patient Profile
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Solution Overview
Problem
Conventional risk assessment and mitigation systems in healthcare are limited by their inability to continuously and adaptively integrate diverse data sources, leading to delayed responses to emerging health risks due to reliance on static or periodic assessments.
Innovation Solution
A computer-implemented system and method for generating a continuous and adaptive patient risk profile through multi-source data integration, including structured, semi-structured, and unstructured data, using real-time risk scoring algorithms with dynamic weighting based on contextual rules, and continuous recalibration of the risk profile.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If static or periodic risk assessment methods are used, then system complexity is reduced, but response time to emerging health risks increases
Solution Approach 1:
The patent implements dynamic risk assessment by continuously updating patient risk profiles in real-time based on incoming data from multiple sources. The system transitions from static periodic assessments to a dynamic continuous monitoring approach where risk scores and profiles are automatically adjusted as patient conditions change, enabling timely detection of emerging health risks without requiring complex manual intervention.
Solution Approach 2:
The system maintains continuous operation through automated real-time data processing and risk profile updates. The risk assessment function operates continuously rather than periodically, with the system constantly monitoring patient data from EHRs, monitoring devices, and external sources, ensuring no health risks are missed due to assessment gaps.
2Loss of information
If multi-source data integration is implemented, then risk assessment comprehensiveness is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the data integration process into distinct modules: structured data from EHRs, semi-structured data from monitoring devices, and unstructured data from external sources. Each data type is processed through dedicated normalization and validation procedures before integration, making the complex multi-source integration manageable through modular architecture.
Solution Approach 2:
The system applies dynamic weighting to different data sources based on their reliability and relevance to the patient's current health context. The weighting parameters are adjusted in real-time based on detected deviations from baseline values, allowing the system to optimize information completeness by prioritizing the most reliable and relevant data sources at any given time.
3Measurement precision
If real-time risk scoring with dynamic weighting is applied, then risk profile accuracy is improved, but computational resources required increase
Solution Approach 1:
The patent applies different levels of processing and weighting to different data sources and risk factors based on their local importance and reliability. Not all data points are treated equally; the system identifies and emphasizes the most critical risk indicators while applying appropriate computational resources to each component based on its impact on overall risk assessment accuracy.
Data Source
AI summary
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.