LSPERF07-BP01 Use a risk-based validation framework

Use risk-based validation with full validation (Installation, Operation, and Performance Qualification) for high-risk systems affecting patient safety, streamlined methods for lower-risk environments. Focus resources where critical and use automated testing to maintain regulatory adherence without slowing innovation. Revalidate based on risk assessment, not after every change.

Desired outcome: Achieve regulatory adherence while optimizing resource allocation through a balanced validation approach that maintains patient safety in critical systems yet maintains operational efficiency. Enable innovation in research environments through appropriate validation levels, resulting in fewer bottlenecks and greater productivity without compromising quality or standards.

Level of risk exposed if this best practice is not established: High

Implementation guidance

Develop a framework for classifying computational systems based on GxP impact and patient safety considerations. Risk-based stratification maintains an appropriate level of validation intensity and blocks over-validation of research systems.

Design validation approaches proportional to the established risk categories. Tiered protocols verify that critical systems receive comprehensive validation while avoiding unnecessary documentation burden for research-focused systems.

Implement ongoing verification practices integrated with development and operational workflows. Continuous validation approaches maintain regulatory adherence while supporting agility and innovation in computational environments.

Establish criteria for when systems require revalidation based on change impact rather than arbitrary rules. Intelligent triggers block unnecessary revalidation while providing proper scrutiny of significant changes.

Maintain regulatory adherence while preserving computational agility for research innovation. A balanced approach blocks validation processes from becoming bottlenecks while maintaining patient safety and data integrity in regulated contexts.

Implementation steps