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 1. Eventura World
 2. Courses
 3. CSV vs CSA - Waterfall vs. Agile Methodology, Documentation and
    Implementation


CSV VS CSA - WATERFALL VS. AGILE METHODOLOGY, DOCUMENTATION AND IMPLEMENTATION

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AGENDA:

DAY 1 (10 AM to 3 PM)
 * Identifying “GxP” Systems
 * Current state of CSV approach based on FDA requirements
 * Agile approach to System Development Life Cycle (SDLC)
 * Pros and Cons of an Agile vs. Waterfall approach
 * Cloud computing and Software as a Service (SaaS) systems
 * Agile continuous validation approach
 * Policies and procedures needed to support your validation process
 * Q&A


DAY 2 (10 AM to 3 PM)
 * CSA Gap Assessment
 * Keys to a Successful CSA Implementation
 * Documentation using a Waterfall or Agile approach
 * Implementing CSA Across the organization – Avoiding disorientation
 * Applicability of CSA Guidance to Data Integrity
 * IT Supplier Assessments While Adopting CSA Principles
 * Risk Assessment to optimize your validation approach
 * Q&A

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ABOUT THE COURSE:

Advancements in technology have forced organizations to rethink business models.
Once controlled and orderly, these organizations are now more chaotic and
complex, serving patients and customers that are better informed and with higher
expectations than ever before. Work practices and tools must change to meet
these challenges.

The approach to developing software, performing validation and maintaining a
system in a validated state through its entire life cycle should be carefully
considered in order to meet changing needs. This seminar will include a
comparison of the Agile and Waterfall methodologies, along with the pros and
cons of each. There may not be one size that fits all, and so it is important to
understand what needs to be considered when making such a determination.

As part of the Case for Quality program US FDA Center for Devices and
Radiological Health noted how an excessive focus by industry on compliance
rather than quality may be diverting resources and management attention toward
meeting regulatory compliance requirements vs. adopting best quality practices.
There has also been a lower than anticipated investment in automation and
digital technologies, which could greatly improve quality and process control. A
key element is a risk-based, product quality and patient-centric approach to
Computer System Assurance (CSA) vs. the traditional Computer System Validation
(CSV) Waterfall approach. This encourages critical thinking based on product and
process knowledge and quality risk management over prescriptive documentation
driven approaches.

This is where FDA determined that “WHAT” is required can be done (the “HOW”) in
different ways and does not have to be according to the “checklist” mindset of
most CSV work, where you crank out documents without specifically addressing the
risk of potential failure of each requirement.

GAMP5 supports the use of incremental, iterative, and evolutionary approaches
including Agile, for development of custom applications. Keys to success include
a robust Quality Management System and well trained and highly disciplined teams
following well-defined processes supported by tools and automation.

Why You Should Attend :

The attendee will learn about FDA’s approach to modernizing technology, and how
that will benefit both the Agency and industry. We will discuss ways to
modernize the System Development Life Cycle (SDLC) approach to Computer System
Validation (CSV) by using automated testing tools that will result in a
continuous validation of software products. This approach is amenable to the
Agile software development methodology, which can be adapted for use in
validation.

We will also discuss the important aspects of CSV and how to apply them in a new
and modern technological environment.

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SEMINAR OBJECTIVES
WHO SHOULD ATTEND
 * “GxP” Systems
 * Computer System Validation (CSV)
 * Computer Software Assurance (CSA)
 * System Development Life Cycle (SDLC)
 * CSV regulations and guidance, such as 21 CFR Part 11 and Annex 11
 * Validation deliverables, including the Validation Plan, Requirements
   Specification, Test Plan, Validation Tests (IQ, OQ, PQ), Requirements
   Traceability Matrix, Test Summary, and Validation Report, etc.
 * Develop a cohesive and comprehensive validation rationale
 * Comprehend a risk-based validation technique
 * Learn appropriate validation strategies for Cloud/SaaS, COTS, spreadsheets,
   and custom developed systems
 * Learn how to apply an agile methodology to implementation and validation
   work, including automated testing
 * Learn best practices for documenting validation, both for a traditional CSV
   and an agile approach
 * Maintain a system in a validated state
 * Learn about continuous validation through automated testing
 * Assure the integrity of data that supports GxP work
 * Policies and procedures needed to support validation
 * FDA’s current thinking and trends
 * FDA inspection or audit preparation
 * Vendor Audit
 * Finally, understand the industry best practices that will enable you to
   optimize your approach to validation and compliance, based on risk
   assessment, to ensure data integrity is maintained throughout the entire data
   life cycle
 * Q&A


IT, QA, & Business Managers and Professionals who need to:
 * Manage or participate on computer system projects requiring validation
 * Create or approve CSV project deliverables, such as requirements documents,
   validation protocols (IQ, OQ, PQ), Test Plans, and Test Reports.
 * Understand the process of computer system validation
 * Author, implement, or upgrade CSV policies and procedures that utilize a
   risk-based approach to meeting the latest regulatory expectations
 * Understand the FDA and international regulatory landscape around CSV

This seminar is intended for those involved in planning, execution and support
of computer system validation activities, working in the FDA-regulated
industries, including pharmaceutical, medical device, biologics, tobacco and
tobacco-related products (e-liquids, e-cigarettes, pouch tobacco, cigars, etc.).
Functions that are applicable include research and development, manufacturing,
Quality Control, distribution, clinical testing and management, sample labeling,
adverse events management and post-marketing surveillance.
Examples of who will benefit from this seminar include:
 * Information Technology Analysts
 * Information Technology Developers and Testers
 * QC/QA Managers and Analysts
 * Analytical Chemists
 * Compliance and Audit Managers
 * Laboratory Managers
 * Automation Analysts
 * Manufacturing Specialists and Managers
 * Supply Chain Specialists and Managers
 * Regulatory Affairs Specialists
 * Regulatory Submissions Specialists
 * Clinical Data Analysts
 * Clinical Data Managers
 * Clinical Trial Sponsors
 * Computer System Validation Specialists
 * GMP Training Specialists
 * Business Stakeholders/Subject Matter Experts
 * Business System/Application Testers

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

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COURSE DIRECTOR: CAROLYN TROIANO



Carolyn Troiano has more than 30 years of experience in computer system
validation in the pharmaceutical, medical device, animal health, tobacco and
other FDA-regulated industries. She is currently an independent consultant,
advising companies on computer system validation and large-scale IT system
implementation projects.
During her career, Carolyn worked directly, or on a consulting basis, for many
of the larger pharmaceutical companies in the US and Europe. She developed
validation programs and strategies back in the mid-1980s, when the first FDA
guidebook was published on the subject, and collaborated with FDA and other
industry representatives on 21 CFR Part 11, the FDA’s electronic
record/electronic signature regulation.
Carolyn has participated in industry conferences. She is currently active in the
PMI, AITP, and RichTech, and volunteers for the PMI’s Educational Fund as a
project management instructor for non-profit organizations.




2 Days Seminar CSV CSA Documentation


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