Find the hardest working trial sites.

Evidence-based site selection can help eliminate costly failed sites and shorten trial times. The Clinical Operations Suite from IQVIA helps drive efficiencies in site selection and activation so you can get needed therapies to patients faster.
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The science of site selection

Choosing trial sites that are well positioned to support your trial can move it forward faster and on budget. In some cases, it can even be the difference that gets a product to market ahead of competition.

IQVIA's Clinical Operations Suite lets you take an objective, evidence-based approach using search tools and feasibility assessments informed by machine learning, to better analyze site and patient data. The result? The ability to better predict which sites are the best fit with your drug and trial design, and to more easily identify sites at risk for underperformance.

 

Costs are growing faster than returns

Findings based on IQVIA analysis of more than 10,000 product launches in the top 8 development markets (U.S., Japan, EU5 and Canada) between 2003 and 2016.

Site Selection

From planning through closeout, clinical services have been rigorously tested and improved by sponsors, CROs and sites of all sizes in more than 60 countries.

It's a key reason why 9 of the top 10 pharmaceutical companies, 4 of the top 5 CROs, and the biggest industry collaborations have chosen IQVIA's Clinical Operations Suite. Features include

  • A proprietary network of more than 80,000 self-selected global investigators
  • Site feasibility surveys and mobile patient pre-screening tools
  • Country-by-country, multilingual phone support for global sites
  • Comparison using the Golden Number, the same universal site facility and staff identifier used by the TransCelerate Investigator Registry and the Investigator Databank
Site Start Up

Activate and engage sites in less time with a suite of clinical operations technologies.

The case for evidence-based site selection

Identifying sites with the right patients and support for your protocol can result in faster start-up. For example, comprehensive, linked patient data can widen the referral net by providing insight on nearby providers with eligible patients.

Data-driven predictive forecasting can enable more precise planning and goal-driven site recruitment. And patient-centric recruitment methods can leverage social and consumer data to inform both messaging and targeting. In combination, data and machine learning can optimize site selection and performance, while giving you a higher level of visibility and control at every decision point.

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