CSA vs. CSV: FDA's New Approach to Computerized System Validation

In 2022, the FDA published a draft guideline introducing a new approach to validating computerized systems: Computer Software Assurance (CSA) . This methodology represents an evolution of the traditional Computer System Validation (CSV) , which has been used for years in the pharmaceutical industry to ensure regulatory compliance.

The main difference between CSV and CSA lies in the operational focus : while CSV places great emphasis on producing extensive documentation, often perceived as a bureaucratic burden, the CSA approach is based on critical thinking and risk assessment. The goal is to focus resources on tests that are truly significant for product quality and patient safety, reducing redundant activities and lightening the documentation burden.

With CSA, the required level of assurance is determined based on the impact the software or system has on the product and process. This allows companies to adopt a more agile approach without compromising quality requirements or regulatory compliance.

To effectively implement this new paradigm, it is advisable to:

• clearly define the risk associated with each system;

• adopt targeted tests, proportionate to the criticality;

• train the team in critical thinking and the new mindset required by the FDA.

The transition from CSV to CSA is not just a technical change, but a cultural evolution: it means moving from a documentation-centric approach to one focused on true quality assurance.

Want practical examples and checklists for adopting the new model? Browse our guides and learn how to apply critical thinking to validating your systems.