IQD

Intelligent Query Detection (IQD) is a CluePoints tool that automates data discrepancy detection in clinical trials using high-precision, specialized large language models (LLMs). Designed for Data Managers who face the challenge of processing vast amounts of clinical data while maintaining query accuracy, IQD streamlines manual query detection throughout the trial lifecycle — enhancing efficiency, accuracy, and consistency in query identification and resolution. By reducing manual workload and improving oversight, IQD gives Data Managers a more powerful role in driving data quality and trial success.

CluePoints serves a broad range of organizations including Contract Research Organizations (CROs), pharmaceutical companies, medical device firms, and the academic community. With over 11,700 platform users, more than 2,000 studies de-risked, and upwards of 220,000 potential issues detected, CluePoints provides Sponsors and CROs with a smarter approach to automating data discrepancy detection and streamlining future data cleaning.

Key Features of IQD

• Adaptive Learning Model: The LLM is continuously refined through user interaction, ensuring ongoing accuracy in identifying and resolving data issues over time.
• Expandable Across Trials: IQD identifies data anomalies across multiple trials, seamlessly handling diverse naming conventions and protocols with no custom programming required.
• High-Precision Accuracy: Advanced LLMs minimize false positives in manual query detection, achieving superior precision in identifying data anomalies.
• Automated Query Suggestions: IQD suggests standardized query text to enable faster query raising, reduce duplicate queries, and speed up resolution through consistent communication.
• EDC System Integration: IQD integrates seamlessly with Electronic Data Capture (EDC) systems, ensuring data discrepancies reach the right person promptly and allowing queries to be raised and managed within a single platform.
• Intuitive User Interface: Users can view and share suggested queries alongside supporting evidence, streamlining communication and resolution workflows.

How IQD Addresses Key Data Management Challenges

• Streamlined Query Processes: By automating data discrepancy detection and reducing time spent on manual data review, IQD allows Data Managers to focus on higher-priority tasks and accelerate issue resolution across sites — leading to cost savings, faster trials, and stronger regulatory compliance.
• Higher Precision, Fewer False Positives: IQD's advanced LLMs accurately detect data discrepancies, significantly minimizing false positives and reducing the burden of unnecessary queries, helping teams maintain trial integrity and ensure higher-quality regulatory submissions.
• Lower Query Costs: Automated query detection enables users to raise queries with just a few clicks, reducing resource strain, improving efficiency, and freeing up teams for more strategic, high-value tasks.
• Consistent and Clear Query Descriptions: IQD suggests standardized query text that reduces redundancy, minimizes miscommunication, and enables faster query resolution while strengthening site relationships.
• Smarter, Automated Query Listings: By leveraging AI-driven models that continuously improve at detecting and highlighting data discrepancies, IQD eliminates manual programming and frees Data Managers to focus on data quality oversight rather than manual updates.

The Future of Query Detection

• Clinical data is growing at an unprecedented scale, with increasing volume, variety, velocity, veracity, and value — yet traditional query detection methods leave Data Managers buried in manual work.
• IQD is designed to address this gap, positioning early adopters to shape the future of clinical data oversight.
• CluePoints invites organizations to gain early access, provide feedback, and explore upcoming capabilities as the platform continues to evolve.

IQD is part of CluePoints' broader platform of AI-powered solutions that leverage advanced statistics and machine learning to transform clinical development outcomes. The tool is built to support sponsors and CROs across pharmaceutical, medical device, and academic sectors as they work to develop innovative therapies and improve patient lives worldwide.