FDA Compliance and Clinical Trial Computer System Validation


Upon completing this course participants should:   

  • Understand FDA requirements for clinical trial Computer System Validation (CSV)
  • Understand the System Development Life Cycle (SDLC) approach to validation
  • Utilize GAMP 5 system classification and risk methodologies for categorizing systems and developing a validation pathway
  • Understand how to build a complete validation strategy and program for clinical trial systems
  • Know how to manage the validation process and create FDA-compliant documentation
  • Know how to monitor a clinical trial system that is in production, governing the data and system through retirement
  • Understand the roles and responsibilities required to validate a clinical trial system
  • Know how to measure cost vs. compliance risk for a clinical trial system
  • Understand good project management principles, incorporating business process re-engineering and organizational change management into the process
  • Know the policies and procedures that must be developed and maintained to support the clinical trial system in operation
  • Understand how to leverage the vendor and other external resources to apply the best industry practices and avoid potential pitfalls when validating a clinical trial system
  • Know about FDA trends in oversight and audit of clinical trial systems and how to keep abreast of these

This webinar is intended for those working in the FDA-regulated industries, including pharmaceutical, medical device, biological, animal health, organ donation and tobacco. Functions that are applicable include research and development, clinical sample manufacturing, packaging, labeling and distribution, clinical testing and management, adverse events management and post-marketing surveillance. You should attend this webinar if you are responsible for planning, executing or managing the implementation of any clinical trial system governed by FDA regulations, or if you are maintaining or supporting such a system. Examples of who will benefit from this webinar include  

  • Data “Owners”
  • Data “Stewards”
  • Information Technology Analysts
  • Information Technology Developers and Testers
  • QC/QA Managers and Analysts
  • Clinical Data Managers and Scientists
  • Analytical Chemists
  • Compliance and Audit Managers
  • Laboratory Managers
  • Automation Analysts
  • Computer System Validation Specialists
  • GMP Training Specialists
  • Business Stakeholders/Subject Matter Experts
  • Business System/Application Testers

This webinar will also benefit any consultants working in the life sciences industry who are involved in computer system implementation, validation and compliance.

Carolyn Troiano has more than 35 years of experience in computer system validation in the pharmaceutical, medical device, tobacco and other FDA-regulated industries.   She has worked directly, or on a consulting basis, for many of the larger pharmaceutical and tobacco companies in the US and Europe. Carolyn developed validation programs and strategies and participated in the review of 21 CFR Part 11, or the FDA’s electronic record/electronic signature (ER/ES) regulation. Carolyn is currently active in the Association of Information Technology Professionals (AITP), and Project Management Institute (PMI) chapters in the Richmond, VA area.

The FDA governs the computer systems used to collect, analyze, transfer and report data that is in support of human clinical trials required for drug approval. FDA oversight is based on a Predicate Rule, known as “Good Clinical Practices,” or simply, “GCPs.” Computer systems subject to GCP requirements must be thoroughly and appropriately validated in accordance with FDA’s guidance on computer system validation. This involves a rigorous set of phases and steps to ensure that, in the language of FDA, “a system does what it purports to do.”

The cost of adequately validating a clinical trial computer system can be high, and must be weighed against system risk and usage. GAMP 5 system classification guidelines can help ensure that a clinical trial system is categorized appropriately, based on the type of system and technology involved. Along with risk, system classification can provide a clear-cut pathway for validating a system, based on the appropriate level of testing and validation effort. In this webinar you will learn about FDA’s expectations for classifying, assessing the risk, testing, and validating a computer system used in clinical trial work. You will learn in detail about the System Development Life Cycle (SDLC) methodology used to approach Computer System Validation (CSV), including all of the phases, sequencing of events, deliverables, and documentation. Ongoing maintenance of the system in a validated state will be discussed, as well as governance, archival and retirement.

  • $200.00