FDA Compliance and Clinical Trial Computer System Validation

Speaker

Instructor: Carolyn Troiano
Product ID: 705358

Location
  • Duration: 60 Min
This webinar will discuss FDA requirements for clinical trial Computer System Validation (CSV) including System Development Life Cycle (SDLC) approach to validation. It will help attendees 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.
RECORDED TRAINING
Last Recorded Date: Jul-2017

 

$199.00 $249.00 (20%)SAVE: $50.00
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$399.00
Downloadable file is for usage in one location only. info Downloadable link along with the materials will be emailed within 2 business days
(For multiple locations contact Customer Care)

 

 

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Why Should You Attend:

This webinar will cover FDA’s expectations for classifying, assessing the risk, testing, and validating a computer system used in clinical trial work. Attendees 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 requirements.

All types of clinical trial systems will be discussed, including in-house developed code, configurable systems and custom designed systems. Best industry practices and potential pitfalls in validating clinical trial systems, along with examples, will be covered in detail.

Ongoing maintenance of the system in a validated state will be discussed, as well as governance, archival and retirement.

The webinar will also discuss the importance of applying good project management, business process re-engineering and organizational change management principles through the validation process and beyond.

Learning Objectives: 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

Areas Covered in the Webinar: This course includes the following key areas of learning:

  • FDA GxPs
  • Computer System Validation (CSV) Methodology
  • System Development Life Cycle (SDLC) Framework
  • Risk Management
  • GAMP 5
  • Compliance Strategy
  • Cost vs. Compliance
  • Industry Best Practices
  • Policies and Procedures
  • Training
  • Leveraging Vendors

Who Will Benefit:

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.

  • 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.

Instructor Profile:
Carolyn Troiano

Carolyn Troiano
ERP Project Manager, City of Richmond

Carolyn Troiano has more than 30 years of experience in the tobacco, pharmaceutical, medical device 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, developing and executing compliance strategies and programs.

Carolyn is currently active in the Association of Information Technology Professionals (AITP), and Project Management Institute (PMI) chapters in the Richmond, VA area.

Topic Background:

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.

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