Data Residency and Access in SaaS-Based Validation



Data Residency and Access in SaaS-Based Validation

Published on 07/12/2025

Data Residency and Access in SaaS-Based Validation

1. Understanding the Validation Lifecycle

The validation lifecycle in the pharmaceutical industry, especially concerning process validation medical device, is structured into sequential steps that align closely with regulatory expectations, including FDA guidelines and EU GMP Annex 15. This lifecycle involves multiple phases: process design, qualification, Performance Qualification (PQ), Continuous Process Verification (CPV), and revalidation. Each phase is critical for ensuring that products are manufactured consistently, meet quality standards, and comply with the regulations set forth by governing bodies.

The validation process begins with understanding user requirements and associated risks. This foundational step is essential for guiding the validation strategy, ensuring that all stakeholders have clear expectations, and facilitating compliance with international standards like ISO 11137 1, which addresses sterilization processes. Proper identification of these requirements sets a solid groundwork for the development of effective validation protocols throughout the lifecycle.

2. User Requirements Specification (URS) & Risk Assessment

The User Requirements Specification (URS) is a critical document that articulates the necessary functionalities and performance

attributes of the system or process being validated. It serves as the foundation for developing a successful validation strategy. A thorough assessment of risks associated with the intended use must accompany the URS. This is where a risk assessment based on principles outlined in ICH Q9 can be performed.

In conducting a risk assessment, it is essential to identify potential failure modes, assess their impact on product quality, and implement appropriate measures to mitigate these risks, aligning your approach with the ISO 14971 standard for risk management in medical devices. The precision in documentation during this stage cannot be overstated; properly recorded assessments provide traceability and justification for subsequent validation activities.

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Documentation of URS and risk assessments should include:

  • A clear delineation of functional requirements.
  • Categorization of risks linked to each functional requirement.
  • Mitigation strategies for identified risks.
  • Sign-off from relevant stakeholders, including QA and regulatory teams.

3. Protocol Design and Development

With the URS and risk assessments established, the next step in the validation process is protocol design. Documented protocols lay out the framework for conducting the validation studies. These protocols must align with regulatory expectations, encapsulating details regarding the scope, objectives, methodologies, and responsibilities.

Effective protocol development should include the following elements:

  • Scope and Objectives: Clearly define what the protocol is meant to achieve, including specific parameters to be verified.
  • Methodology: Describe the tests and procedures that will be performed, detailing both the execution process and any statistical methods to be used for data analysis.
  • Sample Size and Selection: The protocol should specify how sample sizes are determined, ensuring they are statistically valid and adequately power the project to detect any discrepancies.

In addition, design protocols that account for all stages of the product lifecycle, ensuring comprehensive validation. It is essential to include a section on data requirements and integrity aligned with 21 CFR Part 11, considering electronic records and signatures.

4. Execution of Validation Testing

During this phase, the designed protocols are executed to validate the manufacturing process or system. This process should be meticulously planned and controlled to ensure reliable outcomes. It is imperative that all activities are performed per the established protocol, and any deviations must be documented and assessed.

Key activities at this stage include:

  • Running the Tests: Carry out testing as outlined in the validation protocol. Compliance with Good Manufacturing Practices (GMP) should be maintained throughout this phase.
  • Data Collection: Gather all resultant data methodically, ensuring it is organized and meets the documentation standards required for regulatory submission.
  • Analyzing Results: Perform statistical analysis to ascertain whether the data meets pre-determined acceptance criteria. This may involve using statistical software or tools specifically designed for validation analysis.
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5. Performance Qualification (PQ) and Documentation

Performance Qualification (PQ) is a critical part of the validation process, where the operational capability of the system or process is tested under practical conditions. PQ serves to confirm that the system performs effectively within the defined limits of operation, in line with user requirements. The results from the PQ must be comprehensively documented.

Standard PQ documentation should include:

  • Summary of Testing Conditions: Detail the environment and conditions under which the performance tests were conducted.
  • Test Result Overview: Present all collected data, ensuring each dataset corresponds with acceptance criteria outlined in the validation protocol.
  • Analysis and Conclusions: Draw conclusions from the results, providing a thorough assessment of system performance and deviations, if any.

6. Continuous Process Verification (CPV)

Continuous Process Verification (CPV) is a system for ensuring ongoing compliance and performance assurance post-validation. With regulations increasingly emphasizing the need for continuous monitoring of production processes, the execution of CPV becomes essential to ensure that systems are operating within validated parameters.

Establishing a CPV strategy involves:

  • Data Monitoring: Continuously collect quality-related data during routine production to assess and maintain product quality.
  • Control Charts and Trends Analysis: Employ statistical process control tools to identify deviations and trends that may require investigation.
  • Regular Review of Data: Conduct periodic reviews to ensure that the process remains in a state of control, with documentation appropriately recorded for regulatory authorities.

7. Revalidation Strategies

Revalidation is a necessary component of the validation lifecycle, whereby previously validated systems are re-evaluated to ensure continued compliance with user requirements and regulatory standards. Revalidation may be triggered by significant changes in processes, equipment, or production environments, as well as after predefined time intervals.

Revalidation processes should include:

  • Evaluation of Changes: Assess any completed modifications to processes, equipment, or materials that may impact product quality or compliance.
  • Reassessment Criteria: Clarify the criteria for determining whether revalidation is required, ensuring documentation reflects regulatory requirements.
  • Documenting Findings: Maintain comprehensive records tracking changes, decisions made, and actions taken during revalidation efforts, reinforcing transparency and compliance with regulations.
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Conclusion

In summary, effective validation of SaaS-based systems in relation to process validation medical device involves a detailed understanding of the entire validation lifecycle. From initial user requirements through continuous monitoring and periodic revalidation, pharmaceutical companies must adhere to stringent documentation practices and compliance measures outlined by authorities such as the FDA, EMA, and ISO standards. Maintaining a strong focus on regulatory expectations ensures high-quality outcomes, aligning product integrity with customer safety and satisfaction.

For further exploration of guidance on validation processes, refer to the FDA Process Validation Guidance.