Computer system validation – simply explained

As GxP-regulated sectors, the pharmaceutical and medical technology industries place great importance on computer system validation. It ensures that computer-based systems in production, research, and quality assurance function properly. Examples include:

Pharmaceutical and medical technology companies must guarantee that medicines and medical devices are safe and deliver the intended effect. Software validation ensures that the software used in manufacturing, analysis, and documentation works correctly.

These are sensitive, strictly regulated industries. Computer system validation helps companies reliably meet the demanding requirements.

By verifying that processes run correctly, CSV prevents serious consequences such as production downtime, regulatory penalties, or incorrect product effects.

21 CFR Part 11

Issued by the U.S. Food and Drug Administration (FDA), this regulation defines requirements for electronic records and electronic signatures. Computer system validation falls under this, as it covers the creation, editing, and storage of electronic records.

EU GMP guidelines

These define the standards for manufacturing medicines in the European Union. Annex 11 specifies the requirements for computer system validation.

ISO 13485

This standard sets out the requirements for a quality management system in the production of pharmaceuticals and medical devices – including computer system validation.

ISO 27001

The ISO/IEC 27001 standard defines requirements for information security management systems. It is highly relevant to data security in computer systems.

The key objectives are to:

1. Fulfill regulatory requirements in the pharmaceutical and medical technology sectors
2. Ensure product safety and quality
3. Guarantee data integrity and data security in the system
4. Identify and minimize risks to prevent malfunctions
5. Secure reliable operations to avoid interruptions and downtime
6. Document validation activities to ensure traceability
7. Strengthen confidence in the performance and reliability of computer-based systems
   
   

Qualification provides documented proof that equipment, production facilities, and premises are suitable for their intended purpose.

Validation, on the other hand, demonstrates that processes and procedures are appropriate for achieving their intended outcomes – in other words, process validation.

Comprehensive risk management plays a vital role in CSV. It identifies and evaluates potential risks that computer-based systems may pose to patient safety and product quality. By identifying and mitigating risks, companies achieve an acceptable risk level.

Typical steps include:

• Identifying risks
• Assessing and categorizing risks
• Developing risk mitigation strategies
• Integrating risk management into the testing phase
• Documenting risks and mitigation measures
• Monitoring and updating mitigation strategies

The lifecycle approach views CSV as a continuous process throughout the system’s entire lifecycle. It includes the following phases:

• Planning and specification
  System requirements are defined and the validation plan is created.
• Implementation
  The planned system is installed and configured.
• Testing
  The implemented solution is thoroughly tested and optimized.
• Validation
  The validation activities are carried out until successful completion and go-live.
• Maintenance
  Once live, the system is regularly monitored and maintained.
• Decommissioning
  Finally, the system is safely retired, including data archiving or migration to a new system.

CSV is complex and presents many challenges, for example:

• Systems are highly complex, with multiple interfaces and databases
• Technology evolves rapidly, requiring constant adaptation and flexibility
• Validation can be time-consuming and costly
• Documentation and record-keeping demand significant resources
• Change management measures require meticulous care
• Data security and data protection must be considered at every step

Read more about the challenges and pitfalls of computer system validation

To address these challenges, companies rely on proven best practices, such as:

• Risk-based approaches that focus on the system’s critical aspects
• Comprehensive validation documentation including plans, protocols, test reports, change records, etc.
• Robust change management to guide adjustments safely
• Employee training so that everyone involved understands the procedures and rules for CSV

Yaveon covers all of these areas with specialized validation consulting. With experience and expertise, we support our customers throughout the entire CSV process, guided by the proven V-model. Our solutions are developed in line with GAMP 5.