WEBINAR: 5 Strategies to Dramatically Improve Data Quality in Clinical Trials
Advances in clinical research over the last decade have given rise to an intricate patient data ecosystem, presenting enormous opportunities for clinical research professionals to create a more complete view of the patient. How do we overcome integrating and managing those different data sources to deliver high-quality data, faster?
Discover how to unify data management and risk-based quality management approaches with AI to fix manual data entry errors more efficiently while ensuring overall quality end-to-end.
What you will learn:
- Move from manual, reactive data review and cleaning to proactive, risk-based approaches based on integrated data
- Provide clinical data management and monitoring teams with workflows and analytics that support their day-to-day functions
- Leverage technologies that incorporate AI to automate manual tasks and identify potential issues sooner
Who should attend?
Leaders and Sr. Managers in Clinical Data Management, Clinical Data Scientists, Clinical Programmers, Biostatistics