Bridging Silos to Enable End-to-End Traceability: A Case Study in Optimising Pharmaceutical Batch Operations with Digital Transformation

Synopsis

In the pharmaceutical industry, outdated technology and fragmented systems have resulted in disjointed processes and increased potential for errors. Particularly in batch review and release, disparate systems hinder efficient data-exchange, leading to delays and inefficiencies.

This presentation highlights the need for integrated solutions to enable end-to-end traceability, emphasising the importance of breaking down silos and fostering cross-functional collaboration. We advocate for the adoption of emerging AI-based technologies to automate these processes, outlining their potential to streamline QA reviews, reduce regulatory risks, and deliver tangible benefits to organisations, fostering a more efficient and reliable industry. Case studies will be presented to illustrate this transformative impact.