Flexibility. The previous guideline was seen as very rigid in terms of a “you must do this, and never do that” framework. With R3, the goal was to introduce much greater flexibility and put GCP principles at the heart of decision-making.
Emphasis on QbD. That idea of QbD was introduced in ICH-E8(R1), and now it’s been fully integrated into E6(R3). The message is: don’t try to control everything equally – put your energy into the aspects of the trial that are most critical.
Collaboration. The guideline promotes collaboration and input from interested parties, particularly participants, advocacy groups, investigators, and site staff. Their voices are key to ensuring that trial designs are not just scientifically sound, but also operationally feasible and free from unnecessary complexity.
Proportionality. Finally – and I think this may be the most important concept – the idea of proportionality is threaded throughout the entire document. It’s about ensuring that the actions you take to manage quality are appropriate to the importance of the data and processes involved. If a process is critical to participant safety or data reliability, you apply more control. If it’s less critical, you apply less. That risk-based mindset is central to effective quality management.
What is truly fit for purpose?
What does that mean in the context of the specific trial we’re planning?
What matters most from a safety and data reliability standpoint in this protocol?