Diagnosis Supporting System Change Point Extraction
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Solution Overview
Problem
Medical professionals face challenges in efficiently processing and understanding vast amounts of patient information, making it difficult to identify key changes and interventions effectively.
Innovation Solution
A diagnosis supporting system that includes a database and an apparatus capable of extracting change points, calculating change amounts, and displaying information in a user-friendly manner, using techniques such as machine learning and statistical analysis to facilitate the identification of significant changes in patient and intervention data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If medical information is comprehensively recorded and stored, then the completeness and reliability of patient data is improved, but the complexity of processing and understanding the information increases
Solution Approach 1:
The patent segments medical information into distinct categories (patient information, intervention information, change points) and processes them separately through specialized functions. The extracting function identifies change points, the calculating function computes change amounts for specific parameters, and the display function presents processed information. This segmentation reduces processing complexity by handling large datasets through structured division rather than monolithic processing.
Solution Approach 2:
The patent extracts key information from comprehensive medical records by identifying change points and calculating significant changes. The extracting function isolates change points from continuous medical data, and the calculating function extracts meaningful change amounts for specific parameters. This extraction process filters out redundant information while preserving critical data, reducing the information processing burden on medical professionals.
2Loss of information
If all medical information is presented to medical professionals, then the completeness of information is improved, but the time required to process and understand the information increases
Solution Approach 1:
The system performs preliminary processing of medical information by automatically identifying change points and calculating change amounts before medical professionals need to review the data. The extracting function pre-identifies significant change points, and the calculating function pre-computes change amounts for relevant parameters. This preliminary action filters and pre-processes information, allowing professionals to review only critical data rather than processing entire datasets manually.
Solution Approach 2:
The system provides feedback to medical professionals by highlighting specific change points and their associated change amounts in the displayed information. The display function presents processed medical information with clear indicators of significant changes, enabling professionals to quickly identify and focus on critical data. This feedback mechanism reduces information processing time by directing attention to the most relevant data points.
3Measurement precision
If detailed medical information is displayed, then the precision of diagnostic information is improved, but the ease of operation decreases
Solution Approach 1:
The patent applies local quality by displaying different levels of detail for different aspects of medical information. The display function presents change points with their associated change amounts in a structured format, providing detailed information for specific parameters while maintaining an organized, easy-to-navigate interface. Critical information such as change points and change amounts is highlighted with appropriate emphasis, while less critical information is presented in a condensed manner. This localized differentiation of information density maintains precision for diagnostic purposes while preserving ease of operation.
Data Source
AI summary
A diagnosis supporting system according to embodiments includes a memory that stores medical information including patient information relating to a condition of a patient, and intervention information relating to an intervention for the patient; and processing circuitry that extracts a change point in the medical information, that calculates a first change amount indicating a change in the patient information between before and after the change point, and a second change amount indicating a change in the intervention information between before and after the change point, and that performs display based on the first change amount and the second change amount in a display mode set according to at least one of the first change amount and the second change amount.