Centralized Clinical Trial Data Management System
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Solution Overview
Problem
Current data management systems for clinical trials are inefficient and prone to errors, particularly when managing data across multiple practice sites and sponsors, as they require tedious and time-consuming processes for querying and updating patient information, and lack centralized solutions for communication and data interaction.
Innovation Solution
A centralized system that allows sponsors to create and manage queries related to patient data through a graphical user interface, transmitting queries to practice sites and updating databases with responses, while enabling access to electronic health records and providing audit records for trial data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individual communication methods (email, trial-specific systems) are used to contact practice sites, then sponsors can obtain patient information, but the process becomes tedious, time-consuming, and error-prone
Solution Approach 1:
The patent merges multiple separate communication channels (email systems, trial-specific systems) into a single centralized data management system. This consolidation allows sponsors to query patient information across all practice sites through one unified interface, eliminating the need to contact each site individually through multiple systems, thereby reducing time and improving data accuracy.
Solution Approach 2:
The centralized data management system provides universal functionality to handle various communication and data retrieval needs across different practice sites and trials. It serves as a multi-functional platform that can query patient information, track responses, and manage data from multiple sources through a single system, reducing the time and effort required for data collection.
2Productivity
If centralized data management systems are implemented to handle multiple sponsors and practice sites, then data management efficiency improves, but system complexity increases
Solution Approach 1:
The centralized system is segmented into distinct functional modules: a user interface layer for sponsors to input queries, a processing layer that routes queries to appropriate practice sites, and a data layer that stores and retrieves patient information. This segmentation allows the system to handle multiple sponsors and practice sites efficiently while keeping the architecture manageable through clear separation of concerns.
Solution Approach 2:
The patent introduces a centralized data management system as an intermediary between sponsors and practice sites. This mediator handles all communication, query routing, and data aggregation, simplifying the interaction model. Instead of sponsors directly contacting multiple practice sites through various systems, the intermediary centralizes these functions, improving productivity while managing complexity through a single point of control.
3Reliability
If manual tracking of query responses from multiple practice sites is performed, then sponsors can monitor data collection, but the process becomes tedious and error-prone
Solution Approach 1:
The centralized data management system implements automated feedback mechanisms that track query responses from practice sites in real-time. The system automatically monitors whether responses have been received, flags missing or incomplete responses, and provides status updates to sponsors. This automated feedback loop eliminates manual tracking efforts and reduces errors by systematically monitoring all responses across multiple sites.
Solution Approach 2:
The system provides self-service capabilities where the data management process automatically handles query distribution, response collection, and status tracking without requiring manual intervention from sponsors. The system independently manages the entire query-response cycle, reducing operational effort and improving reliability through automated, consistent processing of all practice site communications.
Data Source
AI summary
Systems and methods may manage one or more clinical trials. In one implementation, a system for creating a query for a trial includes at least one processor programmed to: cause a computing device associated with a sponsor of the trial to display a graphical user interface comprising a plurality of patient identifiers associated with the trial; receive, from the computing device, a selection of one of the plurality of patient identifiers; receive, from the computing device, a query comprising an inquiry relating to the selected patient identifier; and transmit the query to a practice site associated with the selected patient identifier.