CluePoints Introduces Medical & Safety Review Tool to Optimize Clinical Data Management

by Roman Kasianov       News

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Topics: Clinical Trials   
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CluePoints has launched the Medical & Safety Review (MSR) software, a new tool aimed at addressing inefficiencies in clinical data review and enhancing the transparency of safety assessments during clinical trials. The software centralizes and standardizes data management, providing customizable dashboards and query management features to support better oversight and analysis of clinical trial data.

Traditionally, the process of analyzing clinical trial data from sources like electronic health records (EHRs) and lab results relies heavily on manual methods, which are prone to errors and inefficiencies. This often results in delayed identification of safety issues and complicates collaboration between different teams. CluePoints’ MSR tool addresses these pain points by providing a centralized platform that integrates multiple functionalities to enhance efficiency and transparency.

Key Features of MSR

  1. Change Monitoring
    MSR allows users to track any changes made to clinical data records, including modifications, comments, status updates, and assignee changes. This ensures complete traceability and helps maintain high-quality records.

  2. Frequent Data Refreshes
    The tool supports continuous data refreshes, enabling reviewers to detect emerging trends and potential safety concerns in near real-time.

  3. Self-Service Dashboards
    Users can select from a pre-built library of dashboards or create custom dashboards tailored to specific study needs. This flexibility simplifies the exploration of complex datasets and accelerates visualization preparation.

  4. Detection Rules
    MSR uses rule-based criteria to flag records of interest, improving the efficiency of data review and enabling teams to focus on high-priority issues.

  5. Integrated Query Management
    The software integrates query management into a single platform, allowing electronic data capture (EDC) queries to be logged, updated, and documented seamlessly.

  6. Review Workflow Management
    Users can comment on records, assign them to other reviewers, and track the status of each record in a unified platform, facilitating efficient communication and collaboration.

Leveraging AI and Machine Learning to Streamline Data Analysis

The MSR tool utilizes artificial intelligence and machine learning to automate certain aspects of data review. According to CluePoints, these technologies enable the software to identify data anomalies more effectively and reduce the time spent on manual review processes. This approach is intended to improve overall data accuracy and facilitate quicker identification of potential safety concerns, which may contribute to better decision-making during clinical trials.

Centralized and Standardized Data Review

CluePoints reports that the MSR tool has been used in over 1,700 studies by 9,500 users, and has identified more than 200,000 potential data issues. By centralizing data review, the software is designed to provide a consistent framework for analyzing medical data across different studies, reducing variability in data interpretations and supporting more uniform oversight processes.

Integration with Risk-Based Quality Management

MSR is part of CluePoints’ broader platform that includes Risk-Based Quality Management (RBQM) and the Site Profile & Oversight Tool (SPOT). The integration of these tools enables sponsors and contract research organizations (CROs) to adopt a comprehensive risk management strategy, enhancing data integrity and optimizing study outcomes.

Topics: Clinical Trials   

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