Definition

A Computer System Validation (CSV) audit is a systematic, documented assessment of a computerized-systems validation program. It determines whether systems used in GxP-regulated operations consistently perform as intended and comply with applicable requirements. A CSV audit evaluates the validation lifecycle, governance, documentation, procedures, data-integrity controls, and ongoing state of control for computerized systems.

The audit may be internal, supplier-focused, project-based, or part of broader inspection-readiness activity.

The scope commonly includes requirements, risk assessment, validation planning, testing evidence, traceability, deviations, change control, access security, audit trails, backup and restore, data integrity controls, and periodic review.

Why Is a CSV Audit Important?

A CSV audit evaluates whether validation evidence, lifecycle controls, and data-integrity safeguards support a computerized system’s intended GxP use and applicable regulatory requirements.

• Identifies validation and data integrity gaps before inspection or system release.
• Confirms that validation evidence supports intended use and GxP impact.
• Helps prioritize remediation based on risk to product quality, patient safety, and records.
• Supports vendor oversight and supplier qualification expectations.
• Strengthens lifecycle control for regulated computerized systems.

What Does a CSV Audit Include?

A CSV audit typically examines the following evidence, responsibilities, and lifecycle controls based on intended use and GxP risk.

Audit scope and criteria

The audit should define which systems, records, processes, and lifecycle controls will be reviewed and what standards or procedures apply.

Validation package review

Review may include validation plan, user requirements, risk assessment, test scripts, traceability matrix, deviations, summary reports, and release approvals.

Operational controls

The audit should consider change control, access review, backup and restore, incident management, periodic review, audit trail review, and retirement planning where applicable.

Findings and remediation

Findings should be clear, risk-ranked, evidence-based, and connected to corrective actions, owners, due dates, and follow-up verification.

Common CSV Audit Challenges

• Legacy systems may lack validation documentation, audit trails, or support for current cybersecurity requirements.
• Validation documents exist but do not match actual system use.
• Requirements are too generic to support meaningful testing.
• Traceability between risk, requirements, tests, deviations, and release is incomplete.
• Supplier documentation is accepted without site-specific assessment.
• Audit trails, access controls, and backup evidence are not reviewed consistently.

Best Practices for a CSV Audit

• Use a risk-based approach to assess potential impact on patient safety, product quality, and data integrity.
• Apply Computer Software Assurance (CSA) principles to focus on critical thinking, reduce unnecessary documentation, and emphasize objective evidence.
• Audit against intended use, GxP impact, and site procedures.
• Maintain traceability among requirements, risk assessments, validation testing, deviations, and release evidence.
• Confirm remediation includes both documentation and process-control fixes.
• Use audit results to improve the CSV program, templates, and training.

How Mangan Biopharm Supports CSV Audit

Mangan Biopharm supports CSV audits, supplier assessments, validation package reviews, data integrity assessments, remediation planning, and inspection-readiness preparation for regulated computerized systems.