2014 - EMEA Industry Session - Life Sciences
A Recipe Driven Approach to Support Data Visualization from Lab to Commercial
Introducing state of the art automated lab reactor (ALR) and process analytical technology (PAT) equipment in the process development laboratories of API small enables scientists to generate and capture persistent process data in a standard recipe context to generate information and knowledge from experiments. By streamlining products and processes along the continuum of development, Janssen enables efficient transfer from the lab through pilot plants, commercial operations and ultimately to their patients, capturing and building knowledge throughout.The PI System is the standard data historian across the development and commercial platforms in Janssen. This allows Janssen to visualize data coming from the ALRs and in combination with the application of the S88 recipe structure standards using event frames will allow for comparison between the lab and commercial processes. This forms the foundation of day to day data management, perfectly fitting into a strategy of going towards one Integrated Data Management system.
- Pharmaceuticals & Life Sciences
BARRY HIGGINS is a Senior Engineer in PDMS (Pharmaceutical Development and Manufacturing Sciences) in Strategic Operations division of Janssen Biologics at Ringaskiddy, Ireland.
TQS Integration Ltd.
KOEN PAESHUYSE has 18 years' experience in the Analytical and API small development organization of Janssen, Pharmaceutical companies of Johnson & Johnson, implementing various IT systems as LIMS, CDS and ELN. He currently works as a systems engineer in the Strategic Operations department of Pharmaceutical Development Manufacturing Sciences based in Beerse (Belgium), managing the “Lab of Tomorrow” project for API Small Development , implementing Automated Lab Reactor and Process Analytical Technology systems and interfacing these systems to the PI System utilizing Recipe Context , Event Frames and Asset Frame work to develop an automation culture where decisions are data driven, ensuring availability of harmonized batch context for data analysis from development through commercial.