Digital Technologies
Labmatrix® Clinical Trial Sample Management and Consent Tracking
Clinical trial success depends on maintaining the integrity, visibility, and compliance of every biospecimen throughout the study lifecycle. Labmatrix is a comprehensive, cloud-based clinical trial sample management platform that helps sponsors, CROs, laboratories, and biobanks track samples, manage consent, improve chain of custody, and streamline clinical trial operations from collection through long-term storage.
Labmatrix is a comprehensive, cloud-based sample management system designed to streamline clinical trial operations and maximize the value of biospecimens.
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Configurable data model, workflows, and user interfaces.
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Detailed chain of custody tracking for regulatory compliance.
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Integration with Qiagram, a patented graphical query and analysis tool for advanced data interrogation and visualization.
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Configurable dashboards and reporting tools that deliver data-driven insights, intelligent alerts, and natural language processing capabilities.
Labmatrix® Can Help
Labmatrix provides clear visibility into study subjects, samples, and consent while improving the tracking, shipping, and management of clinical research specimens. By centralizing sample information across sites, laboratories, vendors, and biobanks, organizations can reduce operational risk, improve sample integrity, strengthen chain of custody, and ensure compliance with evolving regulatory requirements. The result is greater operational efficiency, improved study oversight, and increased confidence in sample-driven research decisions.
Improve Clinical Trial Sample Integrity
Ensuring the integrity of clinical samples requires more than accurate collection procedures. Study teams need complete visibility into sample location, handling history, shipment status, storage conditions, and consent information. Manual processes and disconnected systems can create risks that affect sample quality, compliance, and study timelines.
Labmatrix provides centralized sample management, detailed tracking records, and comprehensive chain of custody documentation to help organizations maintain sample integrity from collection through analysis and long-term storage. By providing a single source of truth for biospecimen data, Labmatrix helps reduce errors, improve accountability, support regulatory readiness, and streamline operations by minimizing manual reconciliation activities and replacing fragmented, Excel-based workflows with a configurable, enterprise-grade platform.

Centralized Clinical Trial Sample Management
Track and manage biospecimens throughout their lifecycle with a single platform that supports collection, processing, shipping, storage, utilization, and destruction activities. Gain real-time visibility into sample status across global clinical trial operations.

Integrated Sample and Consent Governance
Maintain complete oversight of patient consent and sample usage requirements while ensuring samples are utilized in accordance with approved protocols and regulatory obligations.

Detailed Chain of Custody Tracking
Improve chain of custody for clinical trial samples with end-to-end traceability, audit trails, and comprehensive documentation that supports quality assurance, compliance, and study oversight.

Enhanced Sample Logistics and Shipping Visibility
Monitor sample shipments, identify delays, automate notifications, and improve coordination across sites, laboratories, vendors, and biobanks to reduce operational bottlenecks and improve efficiency.
TESTIMONIAL
"[The Delayed Shipment Report] is a very nice report, very clean, very functional. It serves an exact purpose and it serves that purpose perfectly. It provides a snapshot to indicate that your shipments are moving in the way you expect them to move. Once the samples ship, they are no longer on the report."
EJ K.
Global Biopharmaceutical Company
What is clinical trial sample management?
Clinical trial sample management is the process of tracking, monitoring, and governing biospecimens throughout the lifecycle of a clinical study. Activities include sample collection, processing, shipment, storage, consent tracking, chain of custody documentation, reconciliation, and reporting.
Effective sample management helps organizations maintain visibility into sample status, support regulatory compliance, reduce operational risk, and maximize the long-term value of biospecimens. Labmatrix provides a centralized platform for managing study subjects, samples, and consent information across sites, laboratories, vendors, and biobanks.
What are the best practices for managing clinical trial samples?
Successful clinical trial sample management relies on maintaining complete visibility and traceability throughout the sample lifecycle. Best practices include implementing standardized workflows, maintaining detailed chain of custody records, monitoring sample shipments, reconciling planned versus actual collections, tracking consent requirements, and centralizing data from multiple sources.
Labmatrix helps organizations support these best practices through configurable workflows, detailed chain of custody tracking, automated reporting, consent management, and centralized biospecimen oversight.
What capabilities should a clinical trial sample management system provide?
A comprehensive clinical trial sample management system should provide centralized sample tracking, consent management, chain of custody documentation, data integration, reporting, workflow automation, and operational visibility across the sample lifecycle.
Labmatrix combines these capabilities with key capabilities including:
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Clinical trial sample and consent tracking
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Detailed chain of custody tracking
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Automated biospecimen reconciliation
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Integration with clinical and laboratory data sources
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Configurable reporting and dashboards
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Email alerts and operational notifications
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Search and analysis capabilities across sample data
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Visibility into sample collection, shipment, storage, and utilization activities
These capabilities help organizations reduce compliance risks, improve operational efficiency, and gain greater visibility into sample-driven clinical research
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