Medical Practice Analytics for Imaging Failure Cause Identification
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Solution Overview
Problem
Existing methods fail to statistically identify the main cause of imaging failures in medical practices over a certain period, limiting the ability to analyze and address the underlying factors affecting medical practice results.
Innovation Solution
A medical service support device and method that analyze medical practice information to derive an influence degree on imaging failure rates by comparing statistical values across different periods, identifying specific factors contributing to increases or decreases in these failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual determination reasons for imaging failures are provided, then specific failure causes are identified, but statistical identification of main causes over a period is not possible
Solution Approach 1:
The patent segments the analysis into two levels: individual case analysis (providing specific determination reasons for each imaging failure) and statistical analysis (aggregating data across multiple cases to identify main causes). This segmentation allows both precise individual identification and comprehensive statistical identification to coexist without conflict.
Solution Approach 2:
The patent introduces an intermediary statistical analysis layer that processes individual determination reasons and transforms them into aggregated statistical information. This intermediary layer preserves the detailed cause information while generating statistical insights about main causes over periods, preventing information loss at either level.
2Loss of information
If detailed analysis of each imaging failure is performed, then individual causes are identified, but overall statistical trends cannot be identified
Solution Approach 1:
The system segments information processing into detailed individual case analysis and aggregated statistical analysis, allowing both detailed information retention and efficient statistical trend identification to occur simultaneously through separate processing streams.
Solution Approach 2:
The patent merges individual determination reasons from multiple imaging failures into aggregated statistical data. This merging process maintains the detailed cause information while producing comprehensive statistical trends, achieving both detailed information retention and analysis efficiency.
3Reliability
If only individual failure reasons are provided, then specific cases are addressed, but systematic improvement opportunities are missed
Solution Approach 1:
The patent segments the analysis system into individual case evaluation and systematic statistical analysis components, enabling both high reliability in individual case accuracy and adaptability for systematic improvement identification through separate but complementary processing.
Solution Approach 2:
The system implements feedback loops where individual determination reasons feed into statistical analysis, and statistical results feed back to improve individual case handling. This feedback mechanism ensures both individual case accuracy and systematic analysis capability enhance each other continuously.
Data Source
AI summary
A processor acquires medical practice information including date and time related to a medical practice and information related to an index value related to the medical practice, derives a difference between a first statistical value of the information related to the index value in the comparison target period and a first statistical value of the information related to the index value in the reference target period for each of a plurality of item values of at least one item, derives an influence degree on the increase or decrease in the index value in the reference target period relative to the comparison target period for each item value of the item, based on a second statistical value based on the medical practice information in the reference target period and the difference, and performs a display process for displaying the influence degree for at least one item value included in the item.