Web-Based Medical Data Visualization Interface
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Solution Overview
Problem
Current systems for managing and tracking medical conditions lack personalized and interactive tools for patients to effectively monitor their metrics and interventions over time, limiting their ability to self-assess and manage their health effectively.
Innovation Solution
A web-based system and method that provides a graphical user interface for patients to input and visualize medical condition metrics and interventions, allowing them to track and correlate data over selected time intervals, enabling personalized management and self-assessment of medical conditions through a graphical display and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a web-based system is provided for patients to input and visualize medical condition metrics and interventions, then patients can effectively monitor and self-assess their health, but the system complexity and data management requirements increase
Solution Approach 1:
The system enables patients to independently input, track, and analyze their own medical metrics and interventions through a web-based interface. Patients can self-monitor their conditions, correlate data with interventions, and generate visualizations without requiring complex manual analysis or professional intervention for basic monitoring tasks.
Solution Approach 2:
The patent introduces a web-based data processing system as an intermediary between patients and their health data. This system automatically collects, stores, processes, and visualizes medical metrics and intervention data, mediating the complex data management tasks and presenting simplified visual outputs to patients.
2Loss of information
If medical condition metrics and interventions are tracked over time with detailed recording, then correlation analysis between interventions and metrics becomes possible, but the quantity of data to be managed and analyzed increases
Solution Approach 1:
The system extracts and separates different types of medical data (metrics, interventions, timestamps) into distinct data structures and storage categories. This extraction allows for efficient organization and retrieval of specific data types for correlation analysis without managing all data as a single large mass.
Solution Approach 2:
The patent segments medical data into discrete recordable units with specific fields for metrics, interventions, and temporal information. Each data point is structured as a separate record that can be individually processed, stored, and analyzed, enabling systematic correlation studies across large datasets.
3Loss of information
If a graphical user interface is provided for data input and visualization, then patient interaction and understanding improve, but the interface design and user experience requirements become more complex
Solution Approach 1:
The system replaces complex manual data analysis and interpretation mechanisms with automated computational processing. The web-based interface automatically processes raw data inputs, performs correlation analyses, and generates visualizations, substituting mechanical manual efforts with automated digital processes.
Solution Approach 2:
The patent employs visual elements in the graphical interface, including color-coded representations of medical metrics and interventions. Visualizations use color variations to indicate different data states, trends, and correlations, enhancing patient understanding through intuitive visual cues rather than complex numerical displays.
Data Source
AI summary
The invention provides a system and a method for tracking, assessing, and managing personalized data related to medical conditions, diseases, disease symptoms, treatments, body function metrics, health and well-being, education, and training. In one embodiment, a method for personalized management of a medical condition is provided. The method includes providing a graphical user interface for allowing the patient to input at least one medical condition metric and at least one intervention, receiving at least one medical condition metric for a patient for a time interval, receiving information about at least one intervention for the patient for the time interval, and displaying the at least one medical condition metric and intervention over the time interval.