Data Integrity FDA/EU Requirements and Implementation 2017

What topics are covered by the course?

Day 1 Schedule

Lectures and Workshop Exercises
Lecture 1:
Definitions, requirements and approaches for data integrity

Definition of data integrity: ALCOA+
The importance of data integrity for public health
Main reasons for non-compliance
Regulations and guidelines
FDA's inspection and enforcement strategy of Part 11
Lessons from recent FDA Warning Letters and how to avoid them
Lecture 2:
Introduction to FDA 21 CFR Part 11 and EU/PICS Annex 11

Objective, scope, current situation and future of Part11
Requirements for electronic records
Requirements for electronic and digital signatures
Additional requirements from the PICS/EU Annex 11,
Developing a gap analysis
Upgrading existing or purchasing new systems:
Six steps for implementation of Part11/Annex 11
Lecture 3:
Strategies to detect and avoid integrity issues

Recruit, train and retain employees who will be responsible for ensuring data integrity
Preventing data integrity issues: Going through details of ALCOA+
Possible causes for data integrity breaches
Understand system vulnerabilities, motivation and likelihood operators might compromise data
Understand the company's quality culture
Understand high risks in the data lifecycle
Learning from internal audits and FDA inspections
Lecture 4:
The Quality System as Prerequisite for Data Integrity

Contributing factors to poor quality
Consequences of poor quality systems
Recommendations from the FDA
Developing a Quality Culture
ICH Q10 - The quality system for pharma industry
Implementing key requirements: e.g., CAPA system, failure investigations, training, audits
Assessment of data integrity risks
Steps for on-going improvement
Day 2 Schedule

Lectures and Workshop Exercises
Lecture 5:
Cost effective Validation of software and computer systems

Selecting the right validation lifecycle model
Going through examples of a complete computer system validation from beginning to end
How risk assessments can help to determine the type and extent of validation
Defining user requirements based on risk
Vendor assessment and supplier agreements
Testing and documenting installation
Going through examples for OQ and PQ testing
Maintaining the validated state
Lecture 6:
Definition and Handling of Raw Data

Definition of Raw Data
Examples of raw data
Raw data for paper based and electronic systems
Criteria for electronic raw data with paper print-outs
Raw data management along the data lifecycle
Changing of raw data
Archiving of raw data from electronic and hybrid systems
Going through examples
Lecture 7:
Good documentation practices to ensure data integrity

Requirements for documentation ( ALCOA+)
Documents that must be readily available
Examples for good and bad documentation
Good practices for paper and electronic data
How to avoid common documentation mistakes
The importance of global documentation
Examples
Lecture 8:
Data Integrity Auditing: Internal and FDA inspections

Going through a typical FDA inspection as a model for internal audit
FDA's new approaches to data integrity inspections
Typical audit questions
Identifying systems that must be audited based on risk
Typical audit findings
The importance of the exit meeting
Writing a corrective and preventive action plan to fix data integrity audit findings

Who should attend?

Understand what data integrity is and why it is so important for public health
Learn why there are so many data integrity issues
Learn about the FDA/EU/PICS/MHRA/WHO requirements for data integrity
Understand how to define and archive raw data from hybrid systems: electronic vs. paper
Be able to specify and validate Part 11 compliant software functionality
Learn how to ensure and document integrity of raw data and other records according to Part 11 and Annex 11
Understand FDA's New and ongoing Part 11 inspection and enforcement practices
Learn how to develop and implement corrective and preventive action plans in response to inspection reports
Learn how to avoid and/or respond to FDA inspectional observations and warning letters
Learn how to prevent and detect data integrity issues

What will I be able to do on completion?

Understand what data integrity is and why it is so important for public health
Learn why there are so many data integrity issues
Learn about the FDA/EU/PICS/MHRA/WHO requirements for data integrity
Understand how to define and archive raw data from hybrid systems: electronic vs. paper
Be able to specify and validate Part 11 compliant software functionality
Learn how to ensure and document integrity of raw data and other records according to Part 11 and Annex 11
Understand FDA's New and ongoing Part 11 inspection and enforcement practices
Learn how to develop and implement corrective and preventive action plans in response to inspection reports
Learn how to avoid and/or respond to FDA inspectional observations and warning letters
Learn how to prevent and detect data integrity issues

How will I be assessed?

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

Contact us today!

NetZealous LLC DBA GlobalCompliancePanel
john.robinson@globalcompliancepanel.com
support@globalcompliancepanel.com
Toll free: +1-800-447-9407
Phone: +1-510-584-9661
Website: http://www.globalcompliancepanel.com

Registration Link - http://www.globalcompliancepanel.com/control/globalseminars/~product_id=901060SEMINAR?coursesplus-September-2017-SEO

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Guide Price: 1695

Delivery: Classroom
Category: Event Management »
Duration: 2 days
Qualification: N/A

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