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Integrated Clinical & Laboratory Solutions

A seamless experience from study startup through project execution, site support, and data management

As protocols become more complex—adding more endpoints, biomarker‑driven eligibility criteria, intricate sample‑handling requirements, and larger multi‑country footprints—the coordination burden across clinical and laboratory teams grows exponentially. This presents challenges when working with separate clinical and lab partners:

  • Fragmented communication and accountability
  • Delays in study start-up
  • Increased site burden
  • Data integration challenges
  • Risk management limitations

Operational speed

ICON unifies clinical and laboratory operations under a single global project manager, eliminating silos, reducing delays, and ensuring seamless coordination across all study phases. Our proprietary Resource Management Tool (RMT) assigns lab project‑management hours based on study complexity and shares these allocations transparently with sponsors, creating a clearer, more predictable model. This integrated approach has driven a 15% year‑on‑year increase in client satisfaction. 

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Faster study start-up

Early alignment on protocol, sample flow, and logistics accelerates study start‑up by enabling streamlined contracting, parallel clinical–lab setup, and faster kit and logistics readiness. This coordinated approach brings earlier risk identification and more efficient issue resolution. ICON Laboratories accelerates setup timelines through SOLAR’s advanced automation, cutting database build times to five weeks or less and reducing study‑setup and amendment cycles by 40%, while improving quality by minimising manual effort. 

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Scientific, end point and protocol alignment

Engaging scientific and therapeutic experts throughout the study enables smarter trial design, ensuring scientific rigor, operational feasibility, and streamlined workflows. This close collaboration also improves agility when responding to protocol amendments, many of which involve laboratory biomarkers.

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Optimised sample management

An integrated clinical–laboratory model streamlines end‑to‑end sample management by enabling clinical, laboratory, data, and logistics teams to co‑design a unified sample‑flow. Kits and labels are aligned to protocol needs, and a single escalation path and data stream - supported through LabView360.  Critical‑sample turnaround times are accelerated through integrated operations, allowing coordinated communication and prioritisation of urgent biomarker tests.

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Efficient query management

Efficient query management is achieved through close collaboration among labs, clinical project management, CRAs, and sites—ensuring that sample‑related queries are quickly identified, communicated, and resolved without delays or handoff gaps.

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Data quality and integration

An integrated approach strengthens data quality by unifying sample workflows, harmonising data‑cleaning rules, and enabling rapid, coordinated issue resolution. Real time data integration ensures that discrepancies are resolved faster, errors are reduced, and data is more reliable.

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Integrated global logistics & kit management

Laboratory logistics costs frequently exceed initial estimates. ICON addresses this challenge with advanced forecasting and real‑time tracking tools that more accurately predict spend and reduce logistics costs. Centralised oversight, standardised kit design, and continuous monitoring improve delivery reliability, reduce errors, and strengthen sample integrity. In parallel, ICON’s active kit‑management program cuts kit waste by up to 20%. 

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Robust governance

ICON’s model delivers one QMS, one PMO, a single escalation path, and a unified KPI dashboard—delivering streamlined governance and clear accountability across the trial.

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An integrated approach benefits everyone. Clinical, lab, data, and logistics teams can work from the same assumptions, escalate issues through a single path, and resolve risks earlier—reducing variability and protecting timelines. As complexity accelerates, the value of shared workflows, single data flows, and coordinated decision‑making becomes even greater, making an integrated approach not just beneficial but essential for maintaining quality, speed, and operational resilience in modern trials.

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