Choosing Validation Scope Based on Risk Tiers



Choosing Validation Scope Based on Risk Tiers

Published on 08/12/2025

Choosing Validation Scope Based on Risk Tiers

In the pharmaceutical and biologics industries, validation is a critical component of quality assurance (QA) systems. It ensures that processes, methods, and systems produce consistent, high-quality products that meet regulatory expectations. This tutorial aims to guide QA, QC, validation, and regulatory teams in establishing a risk-based validation strategy in line with current regulations and industry best practices.

Step 1: Understand Regulatory Frameworks

To effectively implement a validation strategy aligned with risk tiers, it’s essential to have a deep understanding of the regulatory frameworks governing process validation. The United States Food and Drug Administration (FDA), European Medicines Agency (EMA), and other international guidelines outline critical requirements. For instance, the FDA Process Validation Guidance emphasizes the three stages of process validation: Process Design, Process Qualification, and Continued Process Verification (CPV).

The European Union’s GMP Annex 15 further supports these principles by encouraging a lifecycle approach to validation. Understanding these guidelines helps QA teams structure their processes effectively and ensures that the company remains compliant while meeting quality

standards.

Step 2: Define User Requirements Specification (URS) & Conduct Risk Assessment

The User Requirements Specification (URS) outlines the expectations from the validation process and serves as a foundation for risk assessment. This document should be comprehensive, detailing all necessary features, functionalities, and compliance requirements.

Risk assessment can be conducted using tools such as Failure Mode and Effects Analysis (FMEA) or other systematic methodologies to identify potential risks associated with each process or equipment. Here, the goal is to categorize risks into tiers that indicate their severity and likelihood, informing decisions on the level of validation required.

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Documenting the risk assessment is crucial; it must include identified risks, ratings, justifications for the risk levels, and action plans. This documentation not only contributes to your validation strategy but also forms a key part of your quality assurance documentation.

Step 3: Develop a Validation Strategy and Protocols

Once the URS and risk assessments are established, the next step is to develop a detailed validation strategy that integrates risk management principles. This strategy should identify which processes require full validation and which may only need verification based on their risk tier classification.

The validation protocol should outline the objectives, scope, methodologies, acceptance criteria, and responsibilities for each validation task. Important aspects to consider include:

  1. Types of Validation: Different processes may require different types of validation, including design validation, process validation, test method validation, and cleaning validation.
  2. Sampling Plans: Clearly define sampling plans for each validation. Statistical methods can guide the number of samples taken to ensure the robustness of the validation.
  3. Data Integrity: Ensure that all data collected during validation complies with FDA 21 CFR Part 11 regulations, incorporating measures for data recording, retention, and confidentiality.

Documenting the validation strategy and protocols effectively is imperative to maintain compliance with Good Manufacturing Practices (GMP) and provide clear guidance for validation execution.

Step 4: Execute Validation Protocols

Execution of validation protocols is a critical step, where theories translate into practice. Key activities include:

  • Performing Equipment Qualification: This involves three phases: Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ). Each phase ensures the equipment functions as intended and that it meets documented specifications.
  • Data Collection: During the execution phase, meticulous data collection is vital. This includes monitoring critical process parameters, performing necessary testing, and recording deviations and anomalies encountered. Data should be collected in accordance with previously defined sampling plans and should be statistically evaluated against acceptance criteria.
  • Documentation: Comprehensive documentation of all activities performed ensures a suitable audit trail. All findings, and any observed deviations, should be recorded accurately within the validation report, alongside justifications for any deviations and corrective actions taken.
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Step 5: Performance Qualification (PQ) and Process Verification

Performance Qualification (PQ) is the final validation phase, confirming that the process operates within specified limits and produces the desired quality attributes under normal operating conditions. PQ typically incorporates a large-scale production run, thereby reflecting typical manufacturing conditions.

Calibration of instruments, maintenance of equipment, and appropriate environmental controls should be verified during this stage. It is also crucial that the results of PQ are statistically assessed to ensure consistency and reliability.

Continued Process Verification (CPV) should begin during PQ; this involves monitoring process performance at regular intervals under real-time conditions. Appropriate data should be collected to support the consistent quality of products. Regulatory guidelines emphasize that CPV is an ongoing activity that should include periodic reviews of the validation results to ensure adherence to quality standards.

Step 6: Review and Approval

The final step in the validation lifecycle is the review and approval of the validation documentation. This should include a thorough analysis of all validation activities, results, and any deviations. The review committee typically comprises members from various departments, including QA, QC, production, and engineering.

Critical components are ensured to be validated in a timely manner, and an approval process should be established that outlines the necessary signatures and clearance required for compliance. Effective communication of the validation results to relevant stakeholders ensures an organized approach to maintaining verification and compliance.

Step 7: Continued Process Verification (CPV) and Revalidation

Revalidation is a necessary process to adapt to changes that may affect product quality. Changes in manufacturing processes, equipment, raw materials, or regulatory expectations can necessitate revalidation. Regulations and guidance documents underscore the importance of establishing revalidation protocols shaped by risk assessments.

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Throughout CPV, sufficient data is collected to evaluate product quality over time, and to ensure that the initial validation remains valid. This information is crucial during revalidation, as it helps teams determine what processes have remained stable and where adjustments may be necessary. Proper documentation must accompany the revalidation to keep alignment with regulatory expectations.

Finally, ongoing training and education of validation and QA teams ensure continued compliance and awareness of new regulatory developments that affect validation methodologies in the pharmaceutical industry.

Validation in quality assurance is an essential and evolving discipline in the pharmaceutical sector. By systematically applying the steps outlined in this tutorial, organizations can create efficient and compliant validation strategies that mitigate risk while ensuring the delivery of high-quality products to the market.