How data integrity is your first step toward a Pharma 4.0 strategy
ABOUT THIS WEBINAR
Organisations are often at different points on their digital transformation journey. Data integrity is a critical consideration which typically requires some element of digital transformation to achieve. Ensuring data is accurate, consistent and secure throughout all laboratory processes can increase efficiencies as well as productivity.
As technological advancements are made and the use of electronic data rises, it is imperative that organisations understand the value of data integrity and how to achieve it. A recent report by the National Academies discusses technical challenges and regulatory issues around innovations in pharmaceutical manufacturing, and provides recommendations to the industry and related organisations on how to facilitate the adoption of innovative technologies.
Powerful data management is critical in a system that is reliant upon advanced process control and automation, as well as artificial intelligence (AI) and machine learning. A complete, integrated laboratory software system provides streamlined processes and drives data integrity to advance organisations toward a Pharma 4.0 strategy.
In this on-demand webinar Nicola Gardner (Marketing Manager, Digital Science, Thermo Fisher Scientific) explored why organisations cannot continue to advance with only technology and must also understand the evolution of data integrity.
Key learning outcomes:
- Why manufacturing innovation is critical to maintaining a robust global supply chain
- The importance of data integrity in achieving Pharma 4.0
- How to overcome technical challenges to innovation in pharmaceutical manufacturing
- Digital transformation insights from a world leading CDMO.
Register
Speaker
Nicola Gardner, Marketing Manager, Digital Science, Thermo Fisher Scientific
Related topics
Artificial Intelligence, Biopharmaceuticals, Data integrity, Informatics, Lab Automation, Laboratory Information Management Systems (LIMS), Manufacturing, QA/QC, Research & Development (R&D), Supply Chain, Technology