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LSREL04-BP02 Implement risk-based reliability testing for regulated systems - Life Sciences Lens
Implementation guidance

LSREL04-BP02 Implement risk-based reliability testing for regulated systems

Develop a risk-based approach to reliability testing that prioritizes critical system components based on patient safety, data integrity, and regulatory impact. For high-risk components in GxP systems, implement more rigorous testing including fault injection, recovery testing, and performance under stress. Document test results as part of your evidence package.

Desired outcome: A comprehensive testing program that verifies reliability requirements are met, with testing depth proportional to risk. The testing approach provides documented evidence that systems can maintain reliability under various conditions, supporting both regulatory adherence and operational confidence.

Common anti-patterns:

  • Applying the same level of testing to each component regardless of risk.

  • Focusing only on functional testing while neglecting reliability aspects.

  • Not documenting test procedures and results for regulatory evidence.

  • Testing only in development environments without validating production configurations.

Benefits of establishing this best practice:

  • Focuses testing resources on components with the highest risk assessment.

  • Provides documented evidence of reliability for regulatory submissions.

  • Identifies potential failures before they impact operations.

  • Builds confidence in system resilience under adverse conditions.

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

Implementation guidance

Use AWS Fault Injection Service to safely test system resilience through controlled experiments.

Consider implementing AWS Resilience Hub to assess and improve application resilience.

Implement chaos engineering principles using AWS Fault Injection Service for GxP-critical systems.

Use AWS CloudWatch Synthetics to create canaries that continuously verify critical paths.

Implementation steps

  1. Perform a risk assessment to categorize system components by regulatory impact.

  2. Define testing protocols with depth and frequency based on risk categories.

  3. Implement automated testing using Amazon CloudWatch Synthetics for continuous verification.

  4. Use AWS Fault Injection Service to test recovery mechanisms for high-risk components.

  5. Document test procedures, results, and remediation actions in a format suitable for regulatory review.

  6. Establish a regular cadence for reviewing and updating testing protocols.