With larger pipelines, and a complex clinical trial landscape, it's difficult for manufacturers to build a single development plan, let alone try to optimize it. Benchmark data has historically been limited and manufacturers rely heavily on their own prior experiences. But the growth of "big data" and machine learning has provided new ways to optimize clinical development strategy.
In this webinar, we’ll discuss how “big” clinical and commercial data feeds, as well as powerful machine learning algorithms have fundamentally changed clinical development planning. We’ll discuss case studies showing the impact these new approaches have had in the industry. And we’ll show how a new breed of software tools can help internal stakeholders make better decisions more quickly.
- Learn how to benchmark your clinical development plans against a new industry database of development costs and timing
- Improve the accuracy of your clinical development plan, and provide additional alternatives to your leadership team for more informed decision-making
- Compare what-if scenarios and conduct ranges analysis to fully understand the key drivers for development plan costs and timing
David Wolter, MBA
VP Consulting, IQVIA
Rick Johnston, Ph.D.
Senior Software Solutions Lead, IQVIA