Distributed Clinical Trial Randomization and Inventory Management
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Solution Overview
Problem
Current clinical trial management systems lack configurability, reusability, and integration of randomization and inventory management across different trials and various electronic data capture (EDC) systems, leading to inefficiencies and biases in subject assignment and medication dispensing.
Innovation Solution
A distributed clinical trial system that receives subject and trial identifiers from an EDC system, retrieves and applies pre-configured randomization and treatment designs from a database to assign subjects to arms and dispense medication, enabling configurability, reusability, and integration across multiple trials and EDC systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate IVR/IWR and EDC systems are used for clinical trial management, then system functionality is maintained, but integration and data sharing between systems is poor
Solution Approach 1:
The patent merges IVR/IWR and EDC systems into a unified distributed clinical trial management system. The server receives requests from EDC systems, processes randomization and medication dispensing logic, and coordinates with IVR/IWR systems, thereby integrating previously separate functions while maintaining system versatility.
Solution Approach 2:
The server is designed as a universal platform that handles multiple functions: subject randomization, medication inventory management, dispensing coordination, and integration with various EDC systems. This multi-functional approach eliminates the need for separate specialized systems for each function.
2Adaptability or versatility
If IVR/IWR is hard-coded for each clinical trial, then trial-specific requirements are met, but configurability and reusability across different trials are reduced
Solution Approach 1:
The system uses pre-configured randomization designs and treatment protocols that are established before the clinical trial begins. These pre-configured settings are stored in the server and automatically applied to new trials, eliminating the need for hard-coding and reducing configuration effort while maintaining trial-specific requirements.
Solution Approach 2:
The server dynamically adapts to different clinical trial requirements by receiving trial-specific parameters from EDC systems and adjusting randomization and dispensing logic accordingly. This dynamic configuration allows the same system to serve multiple trials without hard-coding, improving both configurability and ease of manufacture.
3Reliability
If manual subject assignment is used in clinical trials, then control over subject allocation is maintained, but randomization quality and bias prevention are compromised
Solution Approach 1:
The system performs automated randomization and medication dispensing without manual intervention. The server automatically processes subject assignment requests from EDC systems, applies pre-configured randomization designs, and coordinates medication dispensing, thereby ensuring high randomization quality while reducing operational complexity.
4Reliability
If integrated randomization and inventory management is implemented, then coordination between subject assignment and medication dispensing is improved, but system complexity increases
Solution Approach 1:
The server integrates randomization and inventory management functions into a single coordinated system. When a subject is assigned to an arm through randomization, the system automatically checks available medication inventory and coordinates dispensing, ensuring accurate coordination while managing complexity through unified processing.
Data Source
AI summary
A distributed clinical trial system that provides configurability, reusability and integration of randomization and inventory configurations for different clinical trials with various electronic data capture (EDC) systems. The distributed clinical trial system includes a method of randomizing subjects in a multi-arm clinical trial. In accordance with a method, a subject identifier and a trial identifier are received from an EDC system. The trial identifier indicates the multi-arm clinical trial and the subject identifier indicates a subject enrolled in the multi-arm clinical trial. A randomization design previously configured for the multi-arm clinical trial is retrieved from a database based on the received trial identifier. The subject identifier is assigned to an arm identifier of the multi-arm clinical trial based on the randomization design. The arm identifier indicates an arm of the multi-arm clinical trial to which the subject has been assigned.