Implementing data quality and integrity to improve decision making throughout the entire trial lifecycle

Registration is open

Rapid world growth, globalization and advanced technologies are emphasizing the need for high standards of data quality and integrity. Good data practices will enrich the quality of data, enabling life science companies to make strategic decisions based on trustable data and analytical insights.

Join us for this complimentary 60-minute webinar as we delve into the support process around data activities being deployed by sponsors. We will discuss how clinical trial and data science professionals are identifying and mitigating risks for reliability, quality, integrity, and traceability of data while following a set of guiding principles: ALCOA.

Learning Objectives:

• Ensuring data quality through Attributable, Legible, Contemporaneous, Original, and Accurate (ALCOA) attributes
• Establishing and monitoring the support processes around data activities for continuous improvement and overall quality
• Identifying and mitigating risks for reliability, quality, integrity, and traceability of data
• Employing source data verification when needed to verify the origin and accuracy of information

Speakers :

• Jennifer Lee, Senior Strategic Advisor, ClinAI
• Jay Russak, MBA, Sr. Director, Clinical Operations, Keros Therapeutics
• Matthew Addis, Co-Founder and CTO, Arkivum
• Tom Lynam, Marketing Director, Arkivum