Diagnosis assisting system with segmented tab interface
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Physicians face challenges in diagnosing ailments as they need to manually interpret complex blood analysis data and seek additional information for accurate diagnosis, with existing systems only providing limited assistance by displaying potential ailments without further details or references.
Innovation Solution
A diagnosis assisting system that includes a blood cell analyzing section, a determining section for disease possibility, and a notification section, along with a diagnosis assisting information display section to provide comprehensive information related to the analyzed disease, using a blood analyzer that performs measurements and data processing to display analysis results and diagnosis assisting information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a comprehensive medical diagnosis assisting apparatus displays only the specified ailment name and region, then the device complexity is reduced, but the loss of information increases as physicians must personally seek further information
Solution Approach 1:
The diagnosis assisting information is segmented into multiple functional tabs including summary, example case, lab result, underlying disease, and additional information. Each tab presents specific types of information separately, allowing physicians to access comprehensive details without overwhelming the interface with all information simultaneously.
Solution Approach 2:
The system transitions from a single-dimension display (ailment name only) to a multi-dimensional information architecture using tabs as a spatial organization method. This allows comprehensive information to be presented in an structured, navigable format that maintains low device complexity while preventing information loss.
2Loss of information
If the system displays comprehensive diagnosis assisting information including characteristics, examples, and references, then the loss of information is reduced, but the device complexity increases
Solution Approach 1:
Comprehensive diagnosis information is divided into distinct tabs (summary, example case, lab result, underlying disease, additional information), each handling specific types of content. This segmentation manages complexity by organizing information into manageable, independently accessible units.
Solution Approach 2:
The display section serves multiple functions through the tab interface: it can display summary information, detailed characteristics, example cases, lab results, underlying diseases, and additional references. This multi-functionality is achieved within a single unified interface structure, managing complexity while providing comprehensive information.
3Ease of operation
If the system provides only ailment names without detailed information, then the ease of operation is improved, but the productivity decreases as physicians must seek additional information manually
Solution Approach 1:
The system performs preliminary action by pre-organizing comprehensive diagnosis information across multiple tabs before the physician needs it. All relevant information (characteristics, examples, lab results, references) is prepared and structured in advance, allowing physicians to access it immediately without manual searching, thus maintaining ease of operation while improving productivity.
Solution Approach 2:
The tab interface acts as an intermediary between the simple ailment name display and the comprehensive information repository. Physicians interact with the simple tab structure (easy operation) while the system mediates to provide access to detailed information (improved productivity) without requiring manual information seeking.
4Productivity
If the system displays detailed diagnosis assisting information across multiple tabs, then the productivity is improved by reducing manual information seeking, but the device complexity increases
Solution Approach 1:
The system segments comprehensive information into five distinct tabs (summary, example case, lab result, underlying disease, additional information), each managing specific content types. This segmentation enables the system to handle and present large amounts of information in an organized manner, improving productivity while controlling complexity through modular information architecture.
Solution Approach 2:
The system uses tabs as an additional spatial dimension to organize information. Instead of presenting all information in a single linear view, the tab interface creates a layered, multi-dimensional structure that allows comprehensive information delivery without increasing the complexity of the base display mechanism.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A diagnosis assisting system comprising: an analyzing section for analyzing a sample collected from a subject; a determining section for determining whether there is a possibility that a subject has a pred-66etermined disease based on an analysis result obtained by the analyzing section; a notification section for notifying the possibility when the determining section has determined that there is the possibility; and a diagnosis assisting information display section for displaying a diagnosis assisting information screen which displays diagnosis assisting information related to the predetermined disease, is disclosed. A diagnosis assisting information providing device and a computer program product are also disclosed.