Driving data integrity to achieve Pharma 4.0
Organizations are often at different points in 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 organizations 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 organizations 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 organizations toward a Pharma 4.0 strategy.
In this webinar, we will explore why organizations cannot continue to advance with only technology and must also understand the evolution of data integrity.
Key learning objectives:
- 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
Who should attend?
- Laboratory directors, supervisors and managers
- Scientists, senior scientists or research scientists
- Data analytics manager
- LIMS administrator
- Informatics managers, director, supervisor or engineer
Certificate of attendance
All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.