Clinical Data: A Step-by-Step Approach to Remediation

Biotech, Clinical Trials, Drug Discovery & Development, Life Science, Pharma,
  • Thursday, October 09, 2025 | 12pm EDT (NA) / 5pm BST (UK) / 6pm CEST (EU-Central)
  • 60 min

Clinical systems are only as good as the data that powers them. This webinar shares lessons from a large-scale clinical data remediation program and demonstrates how these lessons can be applied today to address fragmented metadata, inconsistent standards and legacy integrations that hinder inspection readiness, accurate reporting and scalable clinical operations.

In this webinar, the featured speakers will walk through a real-world clinical data remediation program, from initial profiling through remediation execution and long-term governance. Attendees will learn a phased, wave-based approach to identifying and resolving data discrepancies across systems such as clinical trial management system (CTMS), electronic trial master file (eTMF) and master data management (MDM), all while maintaining business continuity.

Organizations preparing for a system migration, navigating the aftermath of an acquisition or struggling with unreliable reporting, this session offers practical steps and frameworks that can be utilized immediately.

Register for this webinar to learn practical frameworks for cleaning up clinical data across enterprise systems.

Speakers

Raju Rayavarapu, DNAnexus

Raju Rayavarapu, Principal Regulatory Solutions Architect at DNAnexus

Raju Rayavarapu is a Principal Regulatory Solutions Architect at DNAnexus where he works on Trusted Regulatory Spaces, AI integration, and data transformation. Raju has applied expertise in complex data systems and implementation of best practices and standards for data systems. Before joining DNAnexus, he worked at the U.S. Food and Drug Administration where he served as Senior Technical Advisor and Lead Data Scientist to the Chief Data Officer. Raju drove projects focused on data modernization, built automated analytics pipelines, and developed interactive dashboards used by FDA partners such as USDA and the White House. He has co-chaired the FDA Scientific Computing Board, advised the FDA AI Governance Board, and led agency-wide upskilling programs that have trained dozens of scientists. Raju is passionate about advancing data literacy, fostering innovation, and making complex analytics accessible to diverse communities.

Message Presenter
Neel Patel, Epista Life Sciences

Neel Patel, Director of Technology, Epista Life Sciences

Neel Patel is the Director of Technology at Epista Life Sciences, where he spearheads digital transformation and modernization initiatives for top pharmaceutical companies. With deep technical expertise across enterprise architecture, SaaS, low-code automation and AI, Neel is recognized for architecting innovative solutions that address industry-wide challenges and deliver measurable business outcomes. Throughout his career, Neel has partnered with global business leaders to align technology strategies with organizational goals, driving operational efficiency, compliance and cost savings.

Neel has led the implementation of critical systems such as Veeva Vault RIM, Oracle Siebel CTMS, Medidata Rave EDC and proprietary labeling platforms, ensuring they are fit-for-purpose and seamlessly integrated with business processes. Neel’s portfolio includes transformative projects such as clinical data integration across CROs and internal platforms, the automation of HAQ processing using machine learning and the development of strategic technology roadmaps. His leadership in change management and governance frameworks has enabled successful cloud migrations and enterprise-wide adoption of new technologies.

Message Presenter

Who Should Attend?

This webinar will appeal to clinical research professionals in biotech and pharma.

What You Will Learn

By the end of this session, attendees will be able to:

  1. Identify common clinical data quality issues across CTMS, eTMF and related systems, and trace likely root causes
  2. Apply a phased, wave-based methodology to scope, prioritize and execute remediation without disrupting operations
  3. Define clear remediation rules, reference data models and decision logs that support auditability and compliance
  4. Leverage automation, data profiling and dashboards to reduce manual effort and sustain data quality over time
  5. Connect remediation efforts to business outcomes such as inspection readiness, accurate metrics reporting and CTMS upgrades

Xtalks Partner

DNAnexus®

DNAnexus® has built the world’s most secure cloud platform and global network for scientific collaboration and accelerated discovery. We embrace challenges and partnership to tackle the world’s most exciting opportunities in human health.

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