Dynamic Sepsis Visualization via Weather Radar Metaphor
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Solution Overview
Problem
Current methods for detecting sepsis are complex and difficult for healthcare professionals to interpret, leading to delayed detection and poor outcomes due to oversimplification of pathophysiological processes.
Innovation Solution
A processor-based system generates dynamic visualizations of sepsis using a weather radar metaphor, presenting pathophysiologic cascades and recoveries as motion images, allowing for easier understanding and interpretation of sepsis progression and severity through a condition-centric storm tracking map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current methods for detecting sepsis are used, then detection accuracy is maintained, but interpretation difficulty increases and detection time is delayed
Solution Approach 1:
The patent creates a simplified visual copy of complex pathophysiological data using weather radar metaphors. The system generates dynamic visual representations that replicate essential sepsis information in an intuitive format, allowing healthcare professionals to interpret complex data quickly without losing detection accuracy. The visual copy maintains the critical information while presenting it in an easily understandable manner.
Solution Approach 2:
The patent utilizes color-coded visual representations to indicate different severity levels and states of sepsis. Color changes in the dynamic visualizations provide immediate visual feedback about patient condition, enabling rapid assessment while maintaining detection precision. Different colors represent different pathophysiological states, making complex data interpretable at a glance.
2Measurement precision
If current methods for detecting sepsis are used, then detection accuracy is maintained, but detection speed decreases
Solution Approach 1:
The patent employs dynamic visualizations that update in real-time, creating a continuous flow of visual information similar to weather radar. This dynamic presentation allows healthcare professionals to detect sepsis progression rapidly while maintaining accuracy through continuous monitoring. The visual system vibrates or updates continuously to reflect current patient status.
Solution Approach 2:
The color-coded dynamic visualizations provide immediate visual cues about sepsis detection and progression. Colors change in real-time to reflect current patient status, enabling rapid detection without sacrificing accuracy. The visual system translates complex numerical data into instantly recognizable color patterns.
3Ease of operation
If complex pathophysiological processes are simplified, then ease of interpretation improves, but information completeness may be lost
Solution Approach 1:
The patent segments complex pathophysiological information into distinct visual components that can be independently interpreted. The weather radar metaphor divides the clinical picture into separate but related visual elements, each representing specific aspects of sepsis. This segmentation maintains information completeness while improving interpretability through organized presentation.
Solution Approach 2:
The patent adds a visual dimension to traditional numerical data presentation. By transforming complex pathophysiological parameters into spatial and visual representations, the system preserves all essential information while making it accessible through a new dimensional framework. The visualizations maintain data fidelity while adding interpretive depth.
Data Source
AI summary
A system for converting biologic particle density data into a motion image of at least one clinical condition such as sepsis, wherein the system comprises a processor programmed to detect a plurality of perturbations of the biologic particle densities associated with the clinical condition, detect or determine features of the perturbations, and detect or determine patterns of the perturbations. The processor can also be programmed to generate an image of the clinical condition comprised of time image components comprising a two dimensional user-facing map, wherein time extends along an axis away from the user facing map such that the map may be scrolled forward or backward over time to view different two dimensional images of the clinical condition.