Modular Context Suite for Unified Clinical Image Analysis
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Solution Overview
Problem
Current clinical applications provide limited assistance in holistic clinical decision-making due to their focus on specific sub-questions, requiring multiple tools that increase workflow complexity and time pressure for medical staff.
Innovation Solution
A dynamically extendable web application, or context suite, consolidates multiple clinical applications, including AI algorithms, into a single tool for flexible access to relevant image analysis results at the point of care, enabling easy onboarding of new algorithms and decoupling from X-ray system releases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple separate clinical applications are used to answer different aspects of a clinical question, then comprehensive clinical assessment is achieved, but workflow complexity increases and time pressure on medical staff worsens
Solution Approach 1:
The patent combines multiple separate clinical applications into a single integrated clinical decision support system. The system consolidates various AI algorithms and clinical tools that previously required separate applications, allowing medical staff to access comprehensive clinical assessment capabilities through one unified interface rather than switching between multiple applications.
Solution Approach 2:
The clinical decision support system is designed with multi-functionality to handle diverse clinical assessment needs. It can simultaneously perform multiple clinical analyses, answer different aspects of clinical questions, and adapt to various clinical scenarios within a single platform, eliminating the need for multiple specialized applications.
2Adaptability or versatility
If multiple separate clinical applications are embedded in clinical workflow, then comprehensive clinical assessment is achieved, but time pressure on medical staff increases
Solution Approach 1:
The patent merges multiple clinical applications into one integrated system that can perform comprehensive clinical assessments simultaneously. This eliminates the time required for medical staff to sequentially access and switch between multiple separate applications, reducing overall time pressure while maintaining comprehensive assessment capabilities.
3Measurement precision
If AI algorithms are offered as separate tools, then specific clinical sub-questions are answered accurately, but integration complexity increases
Solution Approach 1:
The patent integrates multiple AI algorithms into a unified clinical decision support system. Each AI algorithm maintains its specialized functionality for answering specific clinical sub-questions accurately, while the integration layer manages their coordination automatically, reducing the integration complexity that would otherwise burden users.
Solution Approach 2:
The system introduces an intermediary integration layer that manages the coordination between multiple AI algorithms. This mediator handles the complexity of integrating different algorithms, allowing them to work together seamlessly without requiring users to manage the integration complexity directly.
4Adaptability or versatility
If multiple clinical applications are used for holistic patient assessment, then comprehensive decision support is achieved, but ease of operation decreases
Solution Approach 1:
The patent combines multiple clinical applications into a single easy-to-use interface. Medical staff can perform holistic patient assessment through one unified system rather than navigating multiple separate applications, significantly improving ease of operation while preserving comprehensive assessment capabilities.
Data Source
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AI summary
A selection of one of a plurality of potential contextual display applications is received for the display of a processed image at a local device. An image from an imaging device is received at a server, and the image at the server is processed by applying an image processing routine based on the selected one of the plurality of potential contextual display applications. Typically, each potential contextual display application has an associated distinct processing routine. The processed image is then transmitted to the local device for display and displayed at the local device in the context of the selected contextual display application.