The cost and complexity of data management continue to increase due to the proliferation of data sources and types of data captured during clinical trials. As a result, data is becoming more difficult to manage, clean, and make available for analysis and insight.
We will share how technology in data management can be a foundation for digital clinical trials. Veeva is redefining electronic data collection to offer a better EDC, and developing a clinical database and workbench, Veeva CDB, to aggregate and harmonize data from multiple sources for a complete and concurrent view of all study data in one place.
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Location: Clarion Hotel & Congress Copenhagen Airport Comfort Hotel
Agenda
9:00 - 9:30 – Registration and Breakfast
9:30 - 9:45 – Introductions and Opening remarks - Richard Young, Vice President of Vault CDMS Strategy at Veeva Systems
Veeva will share how technology in data management can be a foundation for digital clinical trials. Veeva is redefining electronic data collection to offer a better EDC, and developing a clinical database and workbench, Veeva CDB, to aggregate and harmonize data from multiple sources for a complete and concurrent view of all study data in one place.
9:45 - 10:30 – Centralized Data Strategy: Foundation for Clinical Trials - Trevor Griffiths, Senior Director of Data Management at Syneos Health
Syneos will share how a focus on process development and alignment between sponsor and CRO partners can be used to establish a reproducible level of leading performance in Clinical Data Management. The opportunity to extend this into co-development to drive innovation is discussed.
10:30 - 10:50 – Break
10:50 - 11:30 – Roundtable: Modernizing Data Management
Hear from industry leaders and experts about how they align their technology and organizational activities (people and processes) to modernize their approach to data management to better face the growing challenges of data proliferation in digital clinical trials.
11:30 - 12:15 – Deep Machine Learning: Automation of Medical Coding and Detection of Data Anomalies - John Hall, SVP EMEA and Asia Pacific, CluePoints
Results from prototype deep learning algorithms have shown they have the ability to significantly improve the process of detecting data anomalies and medical coding and reduce overall manual effort. This session will discuss these results and how machine learning can be leveraged practically now and in the future
Optional Lunch Demo - 12:15 - 13:30 - Andrew Gebbie, Principal Solution Consultant, Veeva Systems
Showcase the capabilities of how Veeva Vault CDMS helps to efficiently design studies as well as capture, aggregate, harmonize and clean data across EDC and non-EDC data sources to better manage your clinical data
Speakers
