Color Gradient Patient Data Visualization for Severity Granularity
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Solution Overview
Problem
Healthcare information systems lack the ability to quickly and accurately convey the degree of severity or importance of patient data points, relying on absolute color mappings like red, yellow, and green that do not provide sufficient granularity for timely medical interventions.
Innovation Solution
A method and system that display patient data points using varying shades of colors, allowing users to input specific ranges and levels, enabling more precise indication of severity through adjustable color gradations, and aggregating data from disparate systems for comprehensive visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional red, yellow, green color mapping is used to indicate data levels, then the system is simple and easy to understand, but it cannot convey the degree of severity or importance within broad categories
Solution Approach 1:
The patent applies color changes by transitioning from traditional discrete red, yellow, green color mapping to a continuous color gradient spectrum. This allows the system to convey nuanced degrees of severity within each traditional color category, thereby increasing information granularity without significantly increasing system complexity. The color gradient visually represents different levels of abnormality while maintaining the intuitive color associations users already understand.
2Measurement precision
If detailed ranges and normal values are provided for every data point, then measurement precision is improved, but users cannot quickly determine severity due to time constraints
Solution Approach 1:
The continuous color gradient provides immediate visual feedback about the degree of severity, allowing users to quickly assess patient condition without reading detailed numerical ranges. The gradient intensity directly corresponds to severity level, enabling rapid interpretation while maintaining precise differentiation between abnormality degrees.
Solution Approach 2:
The patent replaces the mechanical process of reading and interpreting numerical values and ranges with an optical system using color gradients. This substitution allows the human visual system to rapidly process severity information through color intensity perception, significantly reducing interpretation time while maintaining measurement precision.
3Ease of operation
If absolute color values are used to indicate data levels, then the display is simple and fast, but it cannot provide the specificity needed for informed medical decisions
Solution Approach 1:
The color gradient system maintains the simplicity and speed of absolute color indication while adding severity differentiation through gradient intensity. Users can quickly interpret data through color perception while simultaneously receiving nuanced information about the degree of abnormality, thus preserving ease of operation while eliminating information loss.
Data Source
AI summary
A method of displaying information to relate level of severity or importance comprising the steps of (a) displaying data points; (b) coloring said data points in varying colors according to set levels; and (c) adjusting shades of said colors depending on further defined levels within said set levels. Another method of displaying information to relate level of severity or importance comprising the steps of (a) querying disparate information systems with a certain search parameter (b) displaying data points returned from said search parameter into a single window; (c) coloring said data points in varying colors according to set levels; and (d) adjusting shades of said colors depending on further defined levels within said set levels. A system for displaying information according to level of importance or severity comprising a database, a worklist and an interface wherein said interface conveys level of importance or severity using varying shades of colors.