Interactive GUI for Clinical Trial Simulation Parameter Adjustment
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Solution Overview
Problem
Existing systems for predicting clinical trial outcomes are limited by inaccuracy due to the inability to directly apply information from one clinical trial to another with significant variable differences, and they fail to allow users to interactively adjust models based on specific trial variables.
Innovation Solution
A computer-implemented method and system that provides an interactive and dynamic graphical user interface (GUI) for clinical trial data analysis. This system obtains historical clinical trial data, derives statistical models, computes a composite model, generates a synthetic model for a target trial, and executes virtual simulations to provide clinical trial intelligence data, allowing users to interactively configure and reconfigure simulation parameters in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional static models are used for clinical trial predictions, then the system is simple to operate, but the prediction accuracy is insufficient when trial variables differ significantly
Solution Approach 1:
The patent implements dynamic models that allow users to adjust simulation parameters in real-time based on specific trial variables. The system transitions from static pre-defined models to dynamic configurable models where parameters can be modified during the prediction process to match the actual trial characteristics, thereby improving prediction accuracy while maintaining manageable complexity through guided interaction.
Solution Approach 2:
The system enables parameter changes by allowing users to modify key trial variables such as patient population characteristics, treatment dosages, and trial design parameters. The model adapts its parameters to match the specific trial being predicted, transforming a fixed model into a flexible one that can accommodate different trial conditions and improve prediction precision.
2Adaptability or versatility
If interactive real-time adjustment of simulation parameters is enabled, then the adaptability to specific trial variables improves, but the ease of operation decreases due to increased user interaction requirements
Solution Approach 1:
The system implements self-service mechanisms where the model automatically performs complex calculations and simulations once users provide basic trial parameters. The system handles the computationally intensive tasks of running virtual simulations and generating predictions without requiring users to manually adjust every parameter, thereby maintaining ease of operation while achieving high adaptability.
Solution Approach 2:
The patent introduces an intermediary layer between user input and model execution that automatically processes and validates parameters. This intermediary handles the complexity of model configuration by providing pre-defined parameter sets, validation rules, and automated adjustments, reducing the burden on users while maintaining model adaptability to specific trial conditions.
3Reliability
If multiple virtual simulations are executed with different parameters, then the reliability of predictions improves, but the time required for analysis increases
Solution Approach 1:
The system performs preliminary actions by pre-processing trial data, pre-defining parameter ranges, and pre-configuring simulation templates before actual prediction is needed. This preparation work reduces the time required during the actual prediction process, allowing multiple simulations to be executed efficiently while maintaining high reliability through comprehensive parameter exploration.
Solution Approach 2:
The patent implements continuous simulation execution where multiple virtual trials run in parallel or sequential batches without requiring intermediate user intervention. The system maintains continuous computation flow, processing multiple simulations efficiently by optimizing resource allocation and reducing idle time between simulations, thereby improving reliability through multiple data points while minimizing total analysis time.
Data Source
AI summary
A system and method for implementing interactive graphical user interfaces (GUIs) for accelerated integration and manipulation of clinical trial data for generating clinical trial-related intelligence may include obtaining a clinical trial data corpus associated with candidate clinical trials; deriving a statistical model for each of the candidate clinical trials; computing a composite statistical model from the statistical models; generating a synthetic statistical model for a target clinical trial by adapting the composite statistical model; initializing a virtual simulation computing system with simulation parameters linked to the synthetic statistical model; executing, by the virtual simulation computing system, virtual simulations using the simulation parameters; generating clinical trial intelligence data including a graphical simulation artifact from the virtual simulations; providing the graphical simulation artifact to a first display section of an interactive GUI; and providing editable user interface input elements to a second display section of the interactive GUI for configuring simulation parameters.