A change in the Quality paradigm to reduce the burden of retrospective, time-consuming traditional QA activities, and ultimately accelerate approval and patient access to innovative products.

Goal

  • To ensure quality maintains pace with technological advances, using an outcomes-based approach enabled by Quality Briefs* (QBs), supporting innovation to support risk-based assessment and decision making to get new products to patients without delays. To create QBs as a living entity, serving from molecule, filing, through to post-approval and inspections across the pipeline.
  • To influence & engage Health Authorities through building trust and confidence via proactive provision of QBs with clear Quality Position conclusions based on risk-assessed Critical to Quality (CtQ) Factors ; ultimately reducing compliance delays on route to approval.
  • To create a future of quality professionals acting as enablers of innovation rather than traditional gatekeepers.

Expected Outcomes

  • Establish agreed Quality Brief methodology and template available for IMPALA members to pilot
  • Establish implementation toolkit & guidance for QBs for IMPALA members to pilot implementation
  • Pilot use of QBs with selected Health Authorities to engage, influence & ensure fit for purpose: building trust & confidence.
  • White paper on QB methodology, including risk assessment of Critical to Quality Factors, associated Quality Strategy, evidence-based Quality Position Conclusions and outcomes-focus published for open-source availability to industry and Health Authorities
  • Long term: Influence Policy so QBs are understood by Health Authorities in both a filing & inspection context

Lead(s)

  • Kiernan Trivett

Resources

Coming soon…

Related Work Products

  • With the increasing use of Generative AI in the pharmaceutical industry, and the evolving regulations and guidance from various regulatory authorities, IMPALA aims to outline some key principles and guidelines helping the industry to adopt GenAI while assessing the risks and establishing the right controls to ensure safe use.

  • Real-time Audit Package informed by Data (RAPID) is a data-driven approach that follows a pre-defined methodology to assess processes and identify systemic issues efficiently.

  • New workstream focused on leveraging Generative AI (GenAI) to support the drafting of audit findings . This initiative is part of a broader shift from exploratory discussions to structured implementation of GenAI in quality assurance.