Pre-course Session Statistical Process Evaluation and Reporting PLUS Improve your Quality Reviews
16-18 March 2022, Hamburg, Germany
Course No. 18913
Objectives
This course examines regulatory requirements, provides insight into inspectors’ expectations and explains tools for improving your documented review processes.
Based on real examples you will learn how you can implement and improve your Quality Reviews and use them more efficiently.
Background
Quality Reviews and Metrics are critical GMP elements. They are an integral part of a pharmaceutical quality system and provide an opportunity to assess and control relevant processes.
Both parts of the EU-GMP Guidelines require the Product Quality Review (PQR) to verify the consistency and appropriateness of existing processes, but also to identify product and process improvement opportunities.
The FDA 21CFR 211 requires an Annual Product Review (APR) to evaluate annually the quality standards of each drug product.
All relevant guidance do also consider a Management Review to be an appropriate instrument to assess adequacy and effectiveness of quality systems.
All these different reviews could result in a tremendous work load or they can be performed in an efficient way with useful results – depending on how they are organised. Therefore it is very important to understand the requirements and the idea behind it and to see how these tools can be used more efficiently.
Target Group
This Education Course is designed for managers, supervisors and all other staff members in the pharmaceutical and API industry who are involved in preparing and compiling Quality Reviews and Metrics.
Programme
Requirements and Expectations
EU-GMP: which types of Quality Reviews are required?
EU Quality System Review (overview)
How to achieve EU-GMP compliance
ICH/US-FDA view on the situation (overview)
EU Product Quality Review (PQR) - Technical terms and aims of PQR - What documents and data should be reviewed? - Are EU-requirements the same for APIs & medicinal products? - What about US-FDA and ICH?
EU Product Quality Reviews in the Light of Inspections – Expectations of the Agencies
Inspectors view on critical parts of EU-PQR
Practical implementation and inspection
PQR and contract manufacturing
Comparison EU-PQR and US-APQR (inspectors point of view)
PQR and APR
How to combine PQR and APR in an efficient way
Well-proven PQR/APR designs
Interface to Regulatory Affairs
Certainties (PQR/APR in Custom Manufacturing, how to deal with limited numbers of batches …)
Set up of efficient PQRs and APRs
How to profit from existing QA Systems in PQR/APR and vice versa
Best practices
Time/efforts needed
Ongoing data collection
Foreseeable complications/advantages
Well-proven examples
Workshop: Evaluation of given PQR-Examples Evaluate with other delegates the content and lay-out of given PQR-examples and discuss it with the speakers:
What is useful?
What is ambiguous?
What could be improved?
Management Review
Definition, scope, objectives
Organisation
Participants, responsibilities
Topics to be presented: input and output
KPIs per System
Examples and experience
Kite Pharma Case Study: Management Review - from Data Collection to Evaluation and Reporting
Collection and preparation of data: time/efforts needed, automatic vs. manual data capture
Evaluation of deviations and changes
Interpretation of data: what is the data telling us?
Using KPI in Quality Reviews and in Communication with Authorities
Current status of the requirements
Key areas and data to be submitted
How industry can prepare to meet the expectations
Review Management: Bringing them all together in an efficient Way
How to set up an integrated data, review and Report management
How to avoid double work
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Programme pre-course Session: Statistical Process Evaluation and Reporting
This pre-course session will provide you with recommendations, tools and examples to apply statistical principles in your day-to-day business and it will help you to meet future challenges. You will gain understanding of the consequences of appropriate and inappropriate performance parameters and a sound evaluation of data also by working with statistical simulation tools.
The Application of statistical Tools in Data Review
Introduction - Ongoing/data collection and Management - Interpretation, comparison and presentation of data - Describing process capability and performance - Control Charts; what is a trend and how to deal with it? - Quality Metrics - Documenting the outcomes; are we in control?
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