Failed Image Management Index Calculation for Imaging Menu Prioritization
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Solution Overview
Problem
Medical staff face challenges in efficiently identifying and addressing imaging failure menus with high failure frequencies, as existing systems rely solely on occurrence and rate data, which are insufficient for accurately determining the imaging failure state, leading to potential misidentification of menus that require improvement.
Innovation Solution
A failed image management apparatus that calculates a quantitative index value based on the number of times and rate of imaging failure for each menu, along with additional variables such as participant performance and imaging order, to automatically extract target menus for consideration, thereby prioritizing the review of images that require improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If medical staff manually extract and designate imaging menus with high failure frequencies, then they can identify menus requiring improvement, but it imposes a heavy burden on busy medical staff
Solution Approach 1:
The system automatically extracts imaging menus with high failure frequencies using calculated index values, enabling the system to serve itself by identifying problematic menus without requiring manual intervention from medical staff
Solution Approach 2:
The patent replaces the manual mechanical process of reviewing and selecting imaging menus with an automated computational system that calculates index values and automatically extracts target menus based on failure data
2Productivity
If only the rate of occurrence of imaging failure is used to identify problematic menus, then the data is easy to process, but it is insufficient to accurately judge the imaging failure state
Solution Approach 1:
The patent merges multiple data elements including the number of times of occurrence of imaging failure, rate of occurrence of imaging failure, and increasing rate of frequency of imaging failure into a comprehensive index value calculation, combining quantitative and qualitative aspects of failure data
Solution Approach 2:
The index value functions as a composite metric that integrates multiple failure rate components (occurrence count, occurrence rate, and increasing rate), creating a more robust and accurate measure of imaging failure state than any single component alone
Data Source
AI summary
A first calculator calculates a first index value quantitatively indicating an imaging failure state for each imaging menu using a first calculation formula having a variable based on the number of times of occurrence of imaging failure for each imaging menu and a variable based on the rate of occurrence of imaging failure for each imaging menu. A first extractor automatically extracts a target menu as an imaging menu to be considered to prevent occurrence of imaging failure based on the first index value. A second extractor extracts a consideration image as a failed image associated with the target menu. A screen output controller generates a conference screen for displaying the target menu and the consideration image. A client terminal displays the conference screen on a display panel.