With costs rising, patent cliffs fast approaching and increased regulatory scrutiny on innovative, cost efficient quality processes, the pharmaceutical industry faces challenges never before seen. Companies are being forced to look for pioneering methodologies and technology in the pursuit of quality data; in finding those ‘errors that matter’. If we are going to meet the increasing challenges of conducting clinical trials then data has to be at the heart of it.
Clinical trials are all about the data. Not just the data captured within the clinical database but also the vast reservoirs of additional data that are typically underused as indicators of potential quality issues. Begin to integrate and interrogate some of these disparate data sources, and you start to gain deeper insight and intelligence; you start to understand the origin of errors.
In this webinar, we will look at the types of error typically found during a clinical trial. We will categorize these errors and look to see how utilizing non-traditional data sources and techniques provides proactive identification of quality issues. Centralized analytics is a foundation of any risk or adaptive monitoring strategy, and we can no longer rely on traditional methods to meet the challenges posed to the industry.
The clinical research industry is rapidly moving into a new era – the era of Data. Join this webinar for new insight into the power that analytics and intelligence can bring to your organization.
Gareth Adams,
Senior Director, Central Analytics
Gareth Adams is Senior Director of Central Analytics at PRA Health Sciences. With nearly 20 years experience, he has held several Senior Management positions within the CRO industry and since 2010 has been deeply involved in process optimization, strategic visioning, talent management and change leadership. Gareth graduated with honors in Biological Sciences from the University of Plymouth before starting his career as a Data Analyst in a predominantly paper-based environment. Since then Gareth has passionately strived to introduce innovative technology, process and analytics solutions in each of the roles he has held during his career.
- Learn about the quality/cost paradox
- Address the information gap within your organization
- Define and categorgize typical origins of error within a clinical trial
- Learn how to build out analytics and methodologies to identify and mitigate these errors
- Data Managers
- Clinical Operations
- Clinical Trial Managers
- Clinical Research Associates
- Project Managers
