Dates: March 25, 2021 Location: virtual From understanding the patient journey to supporting the clinical development to understanding the current market for treatment options, there is a growing use of real-world data analytics. This development is driven by an increasing abundance of medical data on the one hand, and a clear call from Regulators to make better use of that data on the other. Another reason why increasingly we may turn to real world data research to advance biopharma business deliverables, is the current pandemic. It is having a clear impact on clinical research, global study activity dropping by as much as 60%1) In this webinar, datametrix presented several different real-world data analytics use cases, and engaged with the participants in
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discussing what suits their own business needs. 1) https://www.fiercebiotech.com/cro/cancer-trials-a-major-victim-pandemic-as-global-studies-dropped-by-60-jama-study
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Speakers
Leon Van Wouwe, Clinical Operations & BD Léon is a versatile clinical operations leader with broad experience across a wide range of TA’s (including oncology and autoimune diseases). He has a strong cross functional focus and deep understanding of project functional requirements of organisations. He has worked in a variety of organisations, including large, midsize and small biotech and also in the health technology space. Léon likes to build the bridges for wellbeing, between biotech, health tech, clinical researchers, clinicians and patients. | |
Ahmed El Rhali, CEO Ahmed El Rhali is an expert in Data Science, Clinical Trials and Biotechnology. Since 2015 he is President and CEO of datametrix AG, supporting companies in generating the information they need, for making better and faster decisions driving business and clinical benefits and results. With extensive knowledge and experience in those fields thanks to the numerous years he spent working in senior positions (MD, VP) for large pharma organizations and CRO’s, Ahmed knows your challenges as a decision maker and knows the importance of data to help taking the best, most informed decisions, accelerate timelines and save money to a business unit and even to your organization as a whole. |