Aviation is a prime example of an industry where lives are at stake, and it shares striking similarities with pharmacovigilance—the science of monitoring and ensuring drug safety. Both operate in highly regulated, complex environments where human factors and automation play critical roles. Here are key lessons pharmacovigilance can learn from aviation’s extensive experience.

1. Safety First: A Shared Philosophy

Aviation has long embraced a “Safety First” culture, supported by global treaties, harmonized standards, and open communication about errors. In pharmacovigilance, despite being regulated under frameworks like the GVP, fragmented global practices persist. Adopting aviation’s transparent error-reporting culture could enhance learning and prevent harm.

2. Human Factors: The Weakest Link or Greatest Asset?

Both pilots and pharmacovigilance professionals encounter challenges such as fatigue, stress, and cognitive overload. Aviation has implemented Crew Resource Management (CRM) to address these risks through teamwork, situational awareness, and decision-making models. Pharmacovigilance teams could benefit from CRM-inspired approaches that emphasize collaboration among Qualified Person for Pharmacovigilance (QPPVs), safety scientists, and vendors.

3. Automation: Friend or Foe?

Aviation’s experience with automation—from autopilot to glass cockpits—illustrates that while automation can reduce routine errors, it may also introduce new risks, such as mode confusion and over-reliance. The tragic AI-171 crashes highlight these dangers. Pharmacovigilance is entering a similar phase with AI-driven case processing and signal detection. Key lessons include training humans to supervise machines effectively, maintaining manual override capability, and validating algorithms while monitoring for unexpected behavior.

4. Complexity and Cognitive Load

Pilots often face multiple alarms and unexpected automation behavior, similar to the data overload experienced by pharmacovigilance professionals from Individual Case Safety Reports (ICSRs), literature, and benefit-risk management.

5. Key Takeaways for Pharmacovigilance

– Automation complements, not replaces the humans.

– Supervisors of automated systems need deep competence and authority.

– Build an open communication culture for error reporting.

– Apply aviation-style safety audits (similar to LOSA) to Pharmacovigilance operations.

Conclusion

Both industries aim for zero harm, yet perfection is elusive. Aviation’s proactive approach to human factors, automation, and organizational learning offers a roadmap for pharmacovigilance. As Pharmacovigilance embraces AI and global harmonization, let’s ensure we don’t just fly high—but land safely.