Data Integrity: FDA/EU Requirements and Implementation

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Data integrity has been a focus for pharmaceutical regulatory inspections for a number of years and look set to remain of concern to regulators and manufacturers for many years to come. Many inspection reports from regulatory agencies around the world cite data integrity as a cause of observations and enforcement action, and actions taken by regulators to restrict the commercial activities of manufacturers on the grounds of data integrity violations have obvious serious consequences for the company concerned.

This 2-day on-line course explains the background to the data integrity regulations and sets out the expectations of pharmaceutical regulators. All the current data integrity guidances emphasise a risk-based approach to compliance, and the course explains how to evaluate and control data integrity risks. A key resource in relation to electronic records is GAMP 5, which deals with controlling risk and managing computerised systems over their life cycle. The practices recommended by GAMP 5 will be dealt with in detail, and practical advice on the appropriate use of Excel spreadsheets given. Data integrity should not be thought of as an exclusively analytical problem, and examples of data integrity violations in production will highlight the risks during manufacturing.

Learning Objectives:

Attendees will:

Understand what data integrity is and why it is so important for patient safety
Recognise that there are many causes of data integrity breaches
Know the current regulatory expectations
Appreciate the difference between static and dynamic records, and be able to apply acceptable strategies for the retention of both types of record
Be able to categorise and validate GxP computerised systems according to GAMP 5
Understand the importance of training and quality culture in avoiding regulatory enforcement action
Learn how to respond to data integrity observations in inspection reports
Learn how to prevent, detect and remedy data integrity problems

Who will Benefit:

QA managers and personnel
Laboratory managers and supervisors
Production managers and supervisors
Analysts
IT/IS managers and system administrators
Software developers
Regulatory affairs
Training departments
Documentation departments
Consultants
Auditors

Companies and departments:

Pharmaceutical development and Quality control laboratories
API manufacturers
Medical device companies
Contract laboratories
Clinical research organisations
Suppliers and service providers of instruments and computer systems

In-Person Seminar going Virtual with increased learner satisfaction.

Yes, attend this seminar from anywhere. We are making it real and more interactive – Here's a sneak peek:

Our enhanced delivery process and technology provides you an immersive experience and will allow you to access:

The real-time and live presentation as in in-person events
Private chat for company-specific conversation – the same as you would get in an in-person seminar
Opportunities to connect with your peers to share knowledge at a different time and have group discussions
Live workshop activities
Live Q&A during the event and offline Q&A assistance after the event
As usual more content, activities and case studies and now adding homework for a comprehensive understanding
Certification

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Day 01(10:00 AM - 5:00 PM EDT)

10.00 AM: Session Start
Day 1 – Lectures and Workshop Exercises
Module 1: Historical background and data integrity definitions
- Data integrity and patient safety/product efficacy
- The evolution of GxP regulations – driven by both criminal activity and honest mistakes
- The US FDA’s debarment policy
- Evolution of data integrity guidances
- Introduction to GAMP 5
- Early data integrity cases
Module 2: Regulatory expectations
- ALCOA and ALCOA+
- Static and dynamic records
- Essential elements of data governance
- Non-conformance trends
- Data integrity controls
- Data integrity risks in sample analysis and production
- Investigating data integrity problems
- Metadata, audit trails and audit trail review
Module 3: Data integrity risk assessment
- Quality risk management: ICH Q9
- Risk management process
- Approaching a data integrity risk assessment
- Controlling risk in computerised systems
- Configuration and life cycle management
- Operating system and application software considerations
Module 4: Computerised systems
- Audit trails, access controls and user permissions
- Excel spreadsheets
- Introduction to computerised data system validation
Module 5: Day 1 conclusions
- Extracts from regulatory enforcement letters
- Addressing data integrity problems

Day 02(10:00 AM - 5:00 PM EDT)

Day 2 - Lectures and Workshop Exercises
Module 6: Managing computerised data systems
- Guidance
  - 21 CFR Part 11
  - EU Annex 11
  - GAMP 5
- Life cycle management and risk assessment
- Supplier assessment
Module 7: Computerised system validation
- Validation planning
  - Policy
  - Plans
  - Documentation
- System description
- Introduction to software testing
Module 8: Conducting a data integrity audit
- Planning the audit
- Conducting the audit
  - Policies, procedures, practices
  - Training
  - Quality culture
- Evaluating quality risk
- Mitigating data integrity risks
Module 9: Managing client audits and regulatory inspections
- The importance of data integrity risk assessments/action plans
- The audit/inspection process
- Client audits
  - Confidentiality
  - Result checking and reporting
- Regulatory inspections
  - Behaviour during inspection
  - Responding to non-conformance observations

Mark Powell
Director, Mark Powell Scientific Limited

Dr Mark Powell is a Fellow of the Royal Society of Chemistry (RSC) with over thirty years’ experience as an analytical chemist. Mark was Honorary Treasurer of the RSC’s Analytical Division and led a working group on continuing professional development until July 2016, when his term of office ended. Between 2003 and 2013, he was the Analytical Development Manager, and later Scientific Manager, of a UK-based contract research organization which specialized in early-stage oral drug development. During this time, he was responsible for method validation, verification and transfer activities, as well as the qualification of laboratory instruments and computerized data systems. In 2013, he set up Mark Powell Scientific Limited, which provides training and consultancy services to pharmaceutical companies. Mark has since enjoyed working with companies of all sizes around the world on a variety of training and consultancy assignments, and has recently co-authored a White Paper on Pharmaceutical Data Integrity for the laboratory supply company VWR.

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