This domain defines the framework that ensures process validation is executed consistently across the lifecycle. It establishes how risk management, control strategy, sampling, and documentation are applied to link process design, qualification, and continued process verification into a controlled and traceable system aligned with ICH Q9 and 21 CFR Part 11.
1. Purpose Process validation documentation and deliverables define the structured set of records used to plan, execute, evaluate, and maintain validation activities. They ensure that validation is traceable, reproducible, and inspection-ready, and that all conclusions are supported by documented evidence….
1. Purpose Data integrity in process validation defines how data used to evaluate process performance and product quality are ensured to be complete, consistent, and reliable. Validation conclusions are only valid if the underlying data are trustworthy. Control of CPPs,…
1. Purpose Sampling strategy and statistical methodology define how process and product data are collected and evaluated to demonstrate and maintain process control. They establish how data represent the process, how variability is quantified, and how decisions are made regarding…
1. Purpose Control strategy defines how process knowledge is translated into operational control during manufacturing to ensure consistent product quality. It establishes how CPPs are controlled to maintain CQAs within defined limits under routine production conditions. This article defines how…
1. Purpose Process risk management defines how risks to product quality and process performance are systematically identified, evaluated, and controlled throughout the process validation lifecycle. It ensures that validation activities are scientifically justified and proportionate to the level of risk,…