Most clinical trial organizations today use sophisticated risk-based monitoring (RBM) algorithms to enhance data integrity while reducing effort by focusing on a narrower set of monitoring activities. Yet teams still hit a significant roadblock: costly on-site visits to complete source data verification (SDV) for critical fields, or time-consuming, unreliable, disjointed and uncontrolled processes to gain remote access to source documentation.
This webinar explores how clinical trial teams can optimize SDV by leveraging a paperless, online source document collection and processing workflow seamlessly integrated with electronic data capture and its RBM algorithms. Drawing on best practices and case study data, the featured speakers will discuss how integrated remote SDV streamlines collaboration and reduces friction by automating time-consuming manual tasks.
The session also reviews practical strategies and previews planned innovations such as AI-assisted SDV to further optimize RBM, demonstrating how integrated remote SDV improves site-monitor relationships, strengthens monitoring scalability and accelerates timelines to achieve data cleaning targets for critical fields.
Register for this webinar to learn how AI-assisted SDV can strengthen RBM execution while reducing on-site SDV burden.
Speakers
Catherine Tyner, Head of Clinical Strategy, AG Mednet
With 28 years of clinical research experience, Cathy Tyner has led multiple functional departments including clinical safety, 24×7 medical monitoring coordination, vendor management and oversight group management (which encompasses the coordination of clinical endpoint, data, eligibility and monitoring committees, core laboratories and other expert panels). Cathy has overseen the delivery of more than 500 clinical trials, including complex megatrials across diverse therapeutic areas. She has made significant contributions to industry thought leadership and best practice guidance throughout her career. Cathy is a seasoned senior business leader who is dedicated to delivering strategic insights and practical, creative solutions in the clinical trial space.
Cameron Kinnear, Principal Solutions Consultant, Medrio
Cameron Kinnear is a Principal Solutions Consultant at Medrio with over 15 years of experience in SaaS and global technology. As a strategic leader, he specializes in clinical trial technologies, data integration and business intelligence. Having operated across the USA, EMEA and Africa, Cameron delivers technology solutions for complex industries like healthcare and defense. He is a dynamic speaker and mentor dedicated to driving holistic growth and technical excellence.
Who Should Attend?
This webinar is for sponsors, CROs, AROs and their research partners running clinical trials across pharma, biotech and medical devices. It is relevant for professionals responsible for clinical monitoring and data integrity operating in countries where remote SDV can be implemented, including:
- Business Process Optimization and Enterprise Transformation Leaders
- Clinical Operations Directors, Team Leaders and Trial Monitors
- Data Management Directors and Team Leaders
- Project and Program Management Directors, Clinical Trial Managers and Trial Operations Program Leaders
- Quality Assurance and Data Compliance professionals
- Medical teams, including Medical Monitors & Advisors
What You Will Learn
Attendees will learn to:
- Identify why SDV is a high-impact point for process optimization
- Improve efficiency and data integrity by maximizing RBM plan
- Enable faster verification and cleaning of critical fields with integrated remote SDV
Xtalks Partners
AG Mednet
AG Mednet is the company behind Judi, a clinical trial process management platform designed for the AI era of regulated research. Judi provides an execution layer that structures how decisions move across people, systems, and organizations, giving AI the context and governance required to be useful in real trial workflows. By making execution observable and auditable by design, Judi turns complex trial operations into something that can be measured and improved. In addition to embedding native AI capabilities such as PHI redaction with human review, Judi serves as a governed delivery layer for internal and third-party AI point solutions, enabling them to operate inside live workflows with traceability, oversight, and control. Trusted by sponsors, CROs, and research partners worldwide, Judi supports thousands of active workflows across hundreds of trials, working alongside existing clinical systems and AI programs. For more information visit: www.judi.io.
Medrio
Medrio is the only EDC built for small and scaling life sciences teams. Trusted by sponsors and CROs worldwide, Medrio delivers validated, audit-ready clinical data backed by over 20 years of proven use across thousands of trials. Enterprise-grade clinical rigor combined with flexible, no-code control enables lean teams to run compliant studies without added complexity or overhead. Medrio supports research from early phase through post-market, and everything in between. An integrated suite of EDC, ePRO, eConsent, and RTSM solutions means teams can scale easily without switching platforms. Learn more at www.medrio.com.
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