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Clinical trial site management, and the selection of appropriate sites matching the protocol and the sponsors’ regulatory goals and strategies, has a direct impact on the quality of clinical data elicited, study duration, primary trial objectives, and budget of the overall project.

Recommended Buyer's Guides

Clinical trial site selection and management companies help pharmaceutical and biopharmaceutical companies to reduce the burden related to clinical research by offering support in patient enrolment, tackling activities associated with clinical trial site-specific study, optimising expenditure, monitoring site operations, and timely and successful completion of a study.

Finding the top clinical trial site management and selection companies in clinical research

Clinical Trials Arena has listed some of the leading trial site selection and management companies in clinical research based on its intel, insights, and decades-long experience in the sector. The list includes companies that provide a variety of services including, but not limited to:

· Clinical site evaluation and selection

· Study planning and site optimisation

· Study design and protocol writing

· Ethical and biosafety review

· Patient engagement

· Country-specific feasibility studies

· International and local clinical trial monitoring and management, and

· Scientific and regulatory services

The information contained within the download document is intended for principal investigators, study coordinators, feasibility and site engagement directors, regulatory coordinators, research scientists, clinical trial managers, clinical field advisors, clinical site payments specialists, and any other individual involved in clinical research and clinical trials.

The document contains detailed information on the suppliers and their service offerings, alongside contact details to aid your hiring decision.

Related Buyer’s Guides which cover an extensive range of clinical trials equipment manufacturers, solutions providers and technology, can also be found here.

Data-driven clinical trial site selection

Site identification using data from the real world, machine learning and predictive modelling provide insight to identify the best performing clinical sites.

Data-driven solutions for clinical trial site selection allow combining internal and external data sources to generate a complete site profile to enable evidence-based site selection processes.

For full details (including contact details) on the leading companies within this space, download the free Buyer’s Guide below:

Frequently asked questions

  • What is clinical trial site management?

    Clinical trial site management involves overseeing all activities at a trial site, including patient recruitment, data collection, and regulatory compliance. Effective management ensures that trials are conducted smoothly and in line with the sponsor's goals, reducing trial duration and costs.

  • Why is site selection crucial for clinical trials?

    Selecting the right clinical trial site is critical as it impacts patient enrolment, data quality, and trial timelines. An optimal site aligns with the study's protocol, regulatory requirements, and has access to the right patient populations.

  • How do companies support clinical trial site selection?

    Companies providing site selection services offer data-driven solutions, feasibility assessments, and geographic analysis to ensure that sites meet the study’s specific needs. These services help optimise patient recruitment and resource allocation.

  • What factors are considered during site evaluation?

    Site evaluation involves assessing factors such as patient demographics, investigator experience, facility capabilities, and historical trial performance. These evaluations help ensure that the site can meet the demands of the trial efficiently.

  • How does data-driven site selection benefit clinical trials?

    Data-driven site selection utilises real-world data, predictive modelling, and machine learning to identify high-performing sites. This approach reduces trial delays, improves patient recruitment, and enhances data accuracy, ensuring a more efficient trial process.