An often-discussed topic Quality by Design (QbD), can be understood and yet partially implemented. Data leaks and loss, quality and compliance challenges, and managing data collection, cleaning, and analysis when the quantum is very large are yet unsolved issues. When QbD is integrated into the intelligence of your technology, the quality journey can be simpler and stress-free.

Most biopharma companies are focused on their clinical strategy but often think of their data right at the end of the road-right before the submission. The scramble for data at the end is in famous and very avoidable. But how?

Centralizing your data holds the key to a strong data strategy and execution. No matter how many CRO partners are involved, and how many systems are used, the heart of your clinical trial which is the data should be completely visible and in your control. The conversation today is centered around increasing automation and leveraging AI/ML, but the role of “human intelligence” in “expertise-driven” areas must be clearly understood. While we try to reduce human intervention to the extent possible, there are areas where technology and data needs have to keep the “human” aspect in mind and this makes all the difference to how technology is consumed.

This course is appropriate to:

1.Data Sciences Professionals
2.Senior Technology Experts
3.Clinical Development Leaders
4.Clinical Data Managers
5.Programming Experts
6.Data Monitoring and Management Professionals

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