戻る Agenda
Detection of Anomalies in eCOA Data and Metadata for More Pre-Emptive, Evidence-Based Risk Management
Session Chair(s)
Jill Platko, PHD
Vice President, Scientific Services
Suvoda, United States
The purpose of this forum is to explore how anomalies can be detected in eCOA data and metadata with a view to implementing improved risk-based approaches to the monitoring of clinical trials and to share experiences.
Learning Objective : Describe the utility of eCOA data and metadata in safeguarding data quality; Identify different risk-based approaches to monitoring clinical trials.
Speaker(s)
Panelist
Willie Muehlhausen, DVM
SAFIRA Clinical Research, Ireland
Co-Founder
Panelist
Ian O'Shaughnessy
ICON plc, Ireland
Director, Business Development, Global Biometrics