Diagnosis Support Apparatus Contribution Visibility
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Solution Overview
Problem
The reliability of diagnosis support information in medical diagnosis systems is unclear due to lack of system visibility, as doctors cannot observe the logic flows and processes of the diagnosis support programs, making it difficult for them to utilize the systems with confidence.
Innovation Solution
A diagnosis support apparatus and method that acquires and displays contribution information, highlighting the most significant input list items contributing to the diagnosis support information, allowing doctors to visualize the decision-making process and understand the reliability of the system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If diagnosis support programs process big data and provide comprehensive diagnosis support information, then the utility and innovation in medical diagnosis improve, but the system visibility and reliability clarity deteriorate due to hidden logic flows
Solution Approach 1:
The patent segments the black-box diagnosis support program into visible components by displaying contribution information that breaks down how input list items contribute to diagnosis support information. This segmentation makes the hidden logic flows observable while preserving the comprehensive processing capability.
Solution Approach 2:
The patent introduces contribution information as an intermediary element between the input list items and the diagnosis support information. This intermediary displays the relationship and weight of each input item, making the hidden processing logic visible without altering the core diagnostic functionality.
2Measurement precision
If diagnosis support programs use complex arithmetic processing with multiple input list items, then the diagnostic accuracy improves, but the system visibility deteriorates as the processing becomes a hidden black box
Solution Approach 1:
The patent implements feedback by displaying contribution information that shows doctors how input list items contribute to diagnosis support information. This feedback loop provides visibility into the arithmetic processing without simplifying it, allowing doctors to understand the basis of diagnostic accuracy.
Solution Approach 2:
Contribution information serves as an intermediary that translates complex arithmetic processing results into visible, understandable formats. It preserves the accuracy of complex calculations while making the information flow transparent to users.
3Productivity
If doctors rely on diagnosis support information from programs with hidden logic flows, then the productivity in medical diagnosis improves, but the reliability of decision-making deteriorates due to unclear determination processes
Solution Approach 1:
The patent segments the determination process into visible contribution information showing which input list items most influence diagnosis support information. This segmentation allows doctors to quickly assess reliability without reducing diagnostic efficiency.
Solution Approach 2:
The patent uses visual emphasis (highlighting contribution information) to draw doctors' attention to key input list items and their contributions. This visual differentiation enhances doctor confidence by making critical information stand out without complicating the diagnostic workflow.
Data Source
AI summary
A diagnosis support apparatus for diagnosis of a patient body includes a diagnosis support device, which determines diagnosis support information for use in reference for the diagnosis by running a diagnosis support program according to plural input list items related to medical care data of the patient body. An evaluator compares a contribution value of contribution of the input list items to determining the diagnosis support information with a predetermined threshold, to generate contribution information related to at least one large contribution list item of which the contribution value is equal to or more than the threshold. A display panel displays the diagnosis support information and the contribution information, so that system visibility can be high. Preferably, the input list items include at least one of list items related to medication, a vital sign, a diagnostic test and imaging.