Live Webinar: September 25 at 11am EDT
Data Harmonization Driving Trusted Evidence Management Throughout the Product Life Cycle
Shelley Jambresic
Group Lead Science and Evaluation at Geistlich Pharma AG
Vardhini Ganesh
Associate Bioinfomatician, Immunology - Vaccine at Sanofi
Sara Garbin
Senior Clinical Development Scientist at Philips
Joe Mullen
Director of Science & Professional Services at SciBite
Sara Paquette
Clinical Consultant and Expert in Medical Writing and Clinical Claims Management
Join us on September 25 at 11 am EDT for a live webinar to learn how data harmonization enhances data quality, reduces errors, and inconsistencies thereby improving the reliability and accuracy of analytical insights for decision-making processes.
Key Learning Objectives
- Understand the role of data harmonization in evidence management and how it enhances the reliability, accuracy, and traceability of evidence throughout the medical device and pharmaceutical drug life cycle.
- Explore the impact of harmonized data to streamline regulatory submissions, reduce the risk of rejection, and ensure compliance across global markets.
- Discover the benefits of data harmonization for cross-functional collaboration while facilitating seamless collaboration across clinical, regulatory, and medical affairs teams, enabling efficient data sharing and decision-making.
- Examine how harmonized data prepares organizations for successful integration with AI-enabled solutions, predictive analytics tools, and data-driven insights, ensuring long-term competitiveness and innovation.
- Learn the benefits of centrally storing and managing literature evidence, enhancing accessibility, and organization-wide visibility.
Register for the Session
“One important step is to include clinical evaluation, state of the art, all of those points at the very beginning. And there you already start the data harmonization by looking at how are things actually named, what are the medical terms that apply to your device indications. Taking the time to look at this thoroughly is the crucial step in getting to successful data that you can use throughout the lifecycle of the device.”