Effectively using Real-World Data in clinical research
There is an increasing interest in using real-world data for clinical trials. And that is for a reason. New technologies, data availability, insights, and better options for privacy protection make it achievable to use this type of data more and more.
During the workshop, the different options for using real-world data will be discussed ranging from feasibility assessments to follow-up monitoring and including synthetic control arms. We will focus on data relevance, availability and reliability and link this to existing and new (draft) regulatory guidelines. Invited guest speakers will explain more about the different data sources they utilise, such as GP, hospital and pharmacy data.
In interactive breakout sessions, you as a participant will have the opportunity to discuss and explore the topic in more detail in small groups and meet fellow industry professionals. This inspiring and interactive 2-hour workshop will take place on Wednesday 7 September 2022 16:00 CET / 10:00 EST. Register for free using the registration fields below.
For more information about our services regarding real-world data utilisation click here.
Reactions of previous participants:
“Thank you very much for your training, I learnt a lot and I realized I need to learn even more ! It was very informative and well done.”
“Thanks for such a well run and interesting workshop. I learnt loads – especially about synthetic control arms. It was also great to see everyone participating.”
““The breakout sessions are good for networking, like speed dating”
About the trainer(s):
Berber Snoeijer started in clinical research in 1997 as a junior biometrician and has since then worked with clinical data in many different positions. In 2001 she started a CRO aiming at the data management, data analysis and reporting of clinical trials. She switched in 2011 to work as an R&D manager dedicated to investigate and utilize the potential of real-world data from electronic health records. This resulted in many different solutions including a full reporting system to give feedback information to healthcare caregivers. For efficient processes and use of the data, she experienced and used the skills of technical (software and database) engineering, process engineering, efficient data utilization, appreciative inquiry and management drives.
Nowadays, she uses these skills and knowledge to assess, design and improve business solutions and processes on smaller and larger scale. She has an chairing role in the PHUSE real-world evidence working group and acts as a product owner in the TransCelerate Digital Data Flow project.