Gene Variant Visualization Interface for Clinical Data Interpretation
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Solution Overview
Problem
Current systems lack efficient methods for interpreting and visualizing clinically relevant information related to interacting gene variants, leading to inconsistencies and inaccuracies in therapeutic recommendations, which complicates patient care decisions.
Innovation Solution
A computing device and method that provide an improved user interface for visualizing clinically relevant information, including therapeutic recommendations, by obtaining and displaying data on interactions between gene variants, utilizing a curated database to facilitate rapid analysis and identification of variants, and enabling quick retrieval of relevant data for medical professionals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current systems are used to interpret and visualize clinically relevant information related to interacting gene variants, then the existing infrastructure can be maintained, but inconsistencies and inaccuracies in therapeutic recommendations occur
Solution Approach 1:
The patent introduces a curated database as an intermediary component that stores pre-validated interactions between gene variants and their clinical implications. This database acts as a mediator between the complex genomic data and the interpretation system, providing standardized, accurate therapeutic recommendations without requiring the interpretation system to directly process all possible variant interactions, thus improving reliability while managing complexity.
Solution Approach 2:
The system performs preliminary actions by pre-curating and storing known gene variant interactions, their clinical significance, and associated therapeutic recommendations in a structured database before actual clinical interpretation is needed. This advance preparation eliminates the need for real-time complex analysis of all possible interactions, ensuring consistent and accurate recommendations while reducing system complexity during actual use.
2Loss of information
If comprehensive analysis of all gene variants and their interactions is performed, then complete clinical information is obtained, but time-consuming analysis delays medical decisions
Solution Approach 1:
The system extracts only the clinically relevant gene variant interactions and therapeutic recommendations from the vast universe of possible genetic variations. By curating a focused database of proven interactions rather than analyzing all possible variants, the system obtains complete clinical information for decision-making while dramatically reducing analysis time through selective extraction of pertinent data.
Solution Approach 2:
The system performs preliminary curation and validation of gene variant interactions in advance, organizing them into a structured database with predefined clinical interpretations. When a patient's variants are identified, the system quickly queries this pre-prepared database rather than performing comprehensive real-time analysis, thus obtaining complete clinical information rapidly without time delays.
3Measurement precision
If manual interpretation of gene variants is performed, then detailed analysis can be conducted, but inconsistencies and inaccuracies occur in therapeutic recommendations
Solution Approach 1:
The system implements feedback mechanisms where the curated database of gene variant interactions is continuously updated and refined based on clinical outcomes and new research findings. This feedback loop ensures that therapeutic recommendations become increasingly precise over time while the automated querying system maintains high productivity by efficiently retrieving updated information without manual re-analysis.
Solution Approach 2:
The curated database serves as an intermediary that encapsulates expert knowledge and clinical guidelines, translating complex interpretation rules into standardized queries and responses. This intermediary layer ensures precise, consistent therapeutic recommendations by filtering and structuring information before it reaches the clinical decision-making process, while maintaining high productivity through automated access to curated knowledge.
4Reliability
If specialized knowledge about gene variant interactions is required for accurate interpretation, then accuracy improves, but accessibility for medical professionals is reduced
Solution Approach 1:
The system enables self-service by automatically querying the curated database and generating therapeutic recommendations without requiring medical professionals to manually search through complex gene variant interaction data. The system handles the specialized knowledge retrieval and interpretation automatically, maintaining high accuracy through curated data while improving ease of operation by presenting ready-to-use recommendations to clinicians.
Solution Approach 2:
The curated database and automated querying system act as intermediaries that bridge the gap between specialized genomic knowledge and clinical practice. They translate complex gene variant interaction data into user-friendly therapeutic recommendations, preserving accuracy through curated scientific knowledge while enhancing accessibility by presenting information in an easily consumable format for medical professionals.
Data Source
AI summary
The present disclosure provides, in some embodiments, a computing device comprising an improved user interface. In some embodiments, the improved user interface enables the visualization of clinically relevant information pertaining to interacting gene variants, including therapeutic recommendations. In some embodiments, the improved user interface facilitates the contemporaneous visualization of clinically relevant information pertaining to individual gene variants and the visualization of clinically relevant information pertaining to an interaction between gene variants, including therapeutic recommendations. In some embodiments, the visualization(s), through the improved user interface, facilitates the rapid interpretation of clinically relevant information by a medical professional such that decisions regarding patient care may be made accurately and efficiently.