Automated Risk Assessment System for Flexible Reproducible Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current risk management systems lack flexibility and reproducibility, often relying on manual processes and inflexible spreadsheet structures, leading to inaccurate risk assessments and difficulties in understanding complex interactions between risks.
Innovation Solution
A distributed data-processing system comprising a central server and end-user devices, capable of processing, storing, and transmitting data, which includes a condition-state determining component to assess and aggregate risk data, and a condition-node processing component to model and analyze risk relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual risk assessment processes are used, then flexibility in performing assessments is maintained, but reproducibility and accuracy of results deteriorate
Solution Approach 1:
The patent replaces manual mechanical assessment processes with an automated computer-based system that processes risk data through standardized algorithms. The system automatically collects risk data from multiple sources, processes it through defined methodologies, and generates consistent results without human intervention in the calculation phase, thereby ensuring reproducibility while maintaining flexibility through configurable parameters.
Solution Approach 2:
The system enables self-service risk assessment where the automated platform independently performs data collection, processing, and analysis without requiring manual execution of assessment procedures. The system serves itself by automatically updating risk models, recalculating assessments when new data is available, and generating reports without human intervention, ensuring consistent reproducible results.
2Ease of manufacture
If spreadsheet-based risk management systems are used, then ease of implementation is improved, but flexibility in modeling complex dependencies deteriorates
Solution Approach 1:
The patent implements a universal risk assessment platform that can handle multiple risk types, dependency structures, and assessment methodologies within a single system. The platform is designed to accommodate various risk models and can be configured for different industries and applications, providing both ease of implementation through standardized interfaces and flexibility through customizable parameters and models.
Solution Approach 2:
The system transitions from static spreadsheet structures to dynamic automated processes that can adapt to changing risk conditions. The platform allows real-time updates of risk data, automatic recalculation of assessments, and dynamic adjustment of models based on new information, providing flexibility in modeling complex dependencies while maintaining ease of use through automated workflows.
3Loss of information
If human experts perform risk assessments, then understanding of complex risk interactions is improved through experience, but cognitive burden and subjectivity increase
Solution Approach 1:
The patent introduces an automated computer-based intermediary system that handles the complex processing of risk data and interactions. The system acts as a mediator between raw risk data and decision-makers, performing the cognitively demanding tasks of data integration, analysis, and synthesis while providing clear, objective results. This reduces the cognitive burden on human experts while maintaining or improving understanding of complex risk interactions through systematic analysis.
Solution Approach 2:
The system implements feedback mechanisms where risk assessments are continuously updated based on new data and outcomes. The automated platform provides feedback loops that allow systematic learning from past assessments, improving the understanding of risk interactions over time through accumulated data and refined models, while eliminating subjectivity through consistent application of analytical methods.
Data Source
AI summary
The present invention is directed to a system, comprising a first data-processing system and at least one second data-processing system, a processing component, and data-storage component. The system is configured to perform for each condition-state of at least a subset of the condition states: comparing each condition-state value and the respective condition-state threshold, thus generating a comparison result for each of these condition-states, and further assigning each comparison result to the respective condition-state. The system is further configured for generating a condition-node modifier for each condition-node of at least a subset of condition-nodes by aggregating the comparison results of the condition-states of at least the subset of the condition-states which condition-states are assigned to the respective condition-node. The invention is further directed to a corresponding computer-implemented method.