Catheter Complication Risk Scoring via Similar Case Retrieval
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for evaluating complications during catheter treatment lack accuracy in predicting potential risks, relying on simple pattern matching and distance-based evaluations.
Innovation Solution
An information processing device and method that acquires medical information during catheter treatment, calculates a comprehensive score for each potential complication using attribute and measurement data, and identifies at-risk complications by retrieving similar cases from a database based on calculated scores, providing detailed information for medical professionals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If simple pattern matching based on distance is used to evaluate complication risk, then the evaluation process is simple and fast, but the accuracy of complication risk assessment is insufficient
Solution Approach 1:
The patent transforms the complication risk assessment from simple distance-based evaluation to a multi-parameter scoring system. It calculates scores based on multiple parameters including distance from prosthetic valve to peripheral tissue, angle of peripheral tissue, and other anatomical features. This parameter transformation enables more accurate risk assessment while maintaining computational efficiency through structured scoring algorithms.
Solution Approach 2:
The patent creates a composite evaluation model that integrates multiple assessment dimensions (distance, angle, anatomical structure, patient-specific factors) into a unified complication risk score. This composite approach combines various parameters weighted by their clinical significance, producing a comprehensive risk assessment that is both accurate and clinically actionable.
2Measurement precision
If comprehensive medical information is collected and analyzed to calculate prognosis scores for multiple complications, then the accuracy of risk assessment is improved, but the complexity of the information processing system increases
Solution Approach 1:
The patent segments the complication risk assessment into distinct modules: data acquisition module, score calculation module for each complication type, risk identification module, and similar case retrieval module. Each module handles specific tasks independently, processing different aspects of medical information separately before integrating results. This segmentation reduces system complexity while maintaining comprehensive analysis capabilities.
Solution Approach 2:
The patent introduces a scoring system as an intermediary that transforms complex multi-dimensional medical information into standardized numerical scores. This intermediary layer simplifies the processing of diverse medical data by converting it into comparable metric forms, enabling systematic analysis without requiring direct complex processing of all raw medical information simultaneously.
3Reliability
If similar cases are retrieved from stored historical data based on calculated scores, then the reliability of risk assessment is improved through real-world validation, but the time required for case retrieval and comparison increases
Solution Approach 1:
The patent performs preliminary organization and indexing of historical complication cases during data storage, structuring them by complication type, score ranges, and key anatomical parameters. This preliminary action enables efficient retrieval operations by pre-processing the data into searchable formats, reducing the time required for similar case matching while maintaining comprehensive comparison capabilities.
Solution Approach 2:
The patent implements selective retrieval of similar cases based on the specific complication being assessed, retrieving only relevant historical cases that match the current assessment context. Rather than comparing against all historical data, the system focuses on locally relevant cases with similar anatomical features and complication types, reducing retrieval time while maintaining assessment reliability.
Data Source
AI summary
An information processing device, information processing method, and program which, acquire medical information collected when catheter treatment is performed on a patient; calculate a score related to a prognosis for each of a plurality of complications that may occur according to the catheter treatment on the basis of the acquired medical information; identify one or a plurality of complications at risk among the plurality of complications on the basis of the calculated score; retrieve a similar case having a score similar to the score calculated from a storage unit configured to store information regarding a complication that has occurred in the past and a score related to the prognosis calculated for the complication in association with each other; and output information on the complication identified by the identification unit and information on the similar case retrieved from the storage unit.


