Process Analytical Technology (PAT) and lifecycle control strategy are umbrella terms covering a range of essential components for other innovative initiatives, such as quality by design, real-time release, and continuous manufacturing.
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Guidance Documents
Biotechnology (1)
Commissioning & Qualification (1)
Critical Utilities (1)
Knowledge Management (1)
Lifecycle Management (3)
Manufacturing Operations (2)
Oral Solid Dosage (1)
Process Analytical Technology (8)
- Good Practice Guide: Continuous Manufacturing of Biological Products
- Good Practice Guide: Control Strategy Development for CM of OSD Forms
- Good Practice Guide: C&Q of Water & Steam Systems 3rd Edition
- Good Practice Guide: Validation 4.0
- PQLI Guide: Part 1 - Product Realization using QbD: Concepts & Principles
- PQLI Guide: Part 2 - Product Realization using QbD: Illustrative Example
- APQ Guide: Process Performance & Product Quality Monitoring System (PPPQMS)
- PQLI Guide: Part 4 - Process Performance & Product Quality Monitoring System
Quality by Design (3)
Validation (1)
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Professional Development Training
Quality Risk Management (QRM) Workshop Training Course
This interactive advanced workshop uses case studies to provide practical tools and techniques to identify solutions for applying QRM principles to current challenges and provides hands-on experience with preparing for and facilitating risk assessments.
Implementing Process Analytical Technology Training Course
This course is designed to help pharmaceutical manufacturing professionals chart a new course for innovation based on PAT. The course provides an overview to the tools and principles outlined in the FDA guidance, PAT - A Framework for Innovative Pharmaceutical Development, Manufacturing and Quality Assurance.
GAMP® 5 GxP Process Control Training Course
This highly interactive classroom course describes how the GAMP Good Practice Guide: A Risk-Based Approach to Compliant GxP Process Control Systems, and GAMP RDI Good Practice Guide: Data Integrity - Manufacturing Records may be applied to achieve process control systems that are fit for intended use, incorporate data integrity and meet current regulatory requirements.
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