Graph Display Apparatus Managing Examination Data Overcrowding
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Solution Overview
Problem
Conventional graph display systems face difficulties in effectively displaying examination data for both short-term and long-term patient condition monitoring due to overcrowding of vital data, making it challenging to observe changes in examination results, especially in cases where multiple examination results need to be checked frequently.
Innovation Solution
A graph display apparatus that determines an appropriate display mode for each examination item based on the number of data points within a standard examination interval and display period, switching between ordinary and low visual recognizability modes to optimize data visibility, including options like omitting marks or connecting data points, to prevent interference and enhance observability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all examination data are displayed on the graph, then complete information is provided, but visual recognizability deteriorates due to overcrowding
Solution Approach 1:
The patent segments the examination data into different categories (vital data and non-vital data) and applies different display strategies to each segment. Vital data with frequent measurements are displayed with reduced visual weight, while non-vital data with less frequent measurements are displayed with normal visual weight, allowing both types of data to be displayed without causing visual overload.
Solution Approach 2:
The patent applies different display qualities to different parts of the graph. Specifically, it adjusts the display characteristics (such as line thickness, marker size, or color intensity) based on the local properties of the examination data - frequently measured vital data receive different visual treatment compared to less frequently measured data, optimizing visual recognizability for each region.
2Productivity
If vital data with frequent measurements are displayed, then short-term condition monitoring is improved, but long-term trend observation becomes difficult
Solution Approach 1:
The patent segments the display period into short-term and long-term views, or segments the data by measurement frequency. By separating vital data (frequent measurements) from non-vital data (less frequent measurements), the system allows users to focus on short-term vital conditions without being overwhelmed by long-term trends, and vice versa.
Solution Approach 2:
The patent implements dynamic display adjustment where the graph rendering changes based on the selected display period or data category. When viewing short-term data, the system optimizes for detailed visibility of frequent measurements; when viewing long-term data, it optimizes for trend visibility by adjusting line styles, marker densities, or aggregation methods.
3Duration of action of stationary object
If examination data at long intervals are displayed, then long-term course observation is improved, but short-term vital data changes become unobservable
Solution Approach 1:
The patent segments the examination items into vital data (requiring short-term monitoring) and non-vital data (requiring long-term monitoring). By treating these segments differently in the display, the system maintains the ability to detect short-term changes in vital data while simultaneously displaying long-term trends of non-vital data without interference.
Solution Approach 2:
The patent applies different visual qualities to different data segments based on their temporal characteristics. Vital data with short-term monitoring needs receive display optimizations for change detection (such as enhanced markers or line styles), while non-vital data with long-term monitoring needs receive display optimizations for trend visualization, allowing both temporal scales to coexist effectively.
Data Source
AI summary
When line graphs are displayed on coordinates having a horizontal axis as a time axis and a vertical axis as an axis representing examination values, the number of pieces of examination data having probabilities of presence in a display period of the time axis is obtained by comparing a standard examination interval, which is a standard interval at which examination of each of the plurality of examination items is performed, and the display period. An ordinary display mode or a low visual recognizability display mode, in which visual recognizability is low, is determined, based on whether the obtained number of pieces of examination data is greater than or equal to a threshold, as a display mode of a line graph for each of the examinations. Plural line graphs overlapping with each other are displayed on the coordinates in each display mode.