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This complimentary Solution Provider Webinar is brought to you by DIA in cooperation with Quintiles.

In the early stages of a clinical study, getting off to the right start is critical. Yet, up to 70% of clinical trials experience study start up delays, and almost half are completed late. Each day a timeline slips can keep new products from patients and put millions in future revenue at risk.

Imagine if you could decrease your study start timelines by up to 30%. What if you could recruit as many as 50% more patients per month at a given site? By combining proprietary data-driven tools and processes, deep industry expertise, and global relationships, these results are possible with Quintiles Right Start program.

In this webinar we will discuss best practices for assessing the best fit countries and associated sites for particular trials. We will present methods for identifying key success factors for each country, options for measuring key success factors, and how to determine an optimal country strategy to ensure successful delivery of clinical trials. Highlighted will be determining data type and analysis methods and  developing the right algorithm to establish the best fit countries and sites for your trial / program with a special emphasis on Infinata and how their BioPharm Clinical Platform compliments and supports optimal strategies.

The approaches will be demonstrated through case studies showing how the appropriate tools and insight from data are applied in a real world setting.


Who should attend?

Executives and managers involved with clinical operations:

  • Project Managers
  • Clinical Operations
  • Outsourcing/Procurement
  • Trial Planning
  • Country Selection and Site identification
  • Regulatory
  • Product or Program Managers

Learning objectives

At the conclusion of this webinar, participants should be able to:

  • To challenge current methods for selecting countries
  • Best practices for objectively selecting countries
  • How to determine appropriate data for inclusion and leverage data  and technology
  • How to avoid costly delays and quality issues, ultimately saving  time and money

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