Assessing the impact of assumptions on Clinical Supply Planning

And their consequence on drug waste, costs and patient risk.

Watch the Replay

<strong>Assessing the impact of assumptions</strong>
<strong>on Clinical Supply Planning</strong>

Topics

Clinical supply forecasting & planning

Pharma/Biotech

Simulations & risk-based optimization

Date

September 28, 2021

Share the article

Date

September 28, 2021

Location

Online event

Timing

4pm - 5pm (CET)
10am - 11pm (ET)

What you’ll learn in this webinar

That misused assumptions cause more than 20% of your drug waste and risk
What are the most relevant assumptions required for a robust forecast
The impact each assumption has on the supply chain forecasts and patients

Typical mistakes: How to avoid pitfalls and efficiently work with limited data
Tips & tricks: How to get more accurate assumptions in no time

N-SIDE shares its experience optimizing thousands of trials, to help your pharma organization make better use of your data and deliver more accurate clinical supply forecasts. Through case studies, navigate the impact data and assumptions on your forecast, drug waste and patient risk, and learn how to make better use of the limited data shared with you.

Watch the replay & download the handout

Download the handout

Author

Amaury Jeandrain

Strategy Advisor for clinical supply chain solutions

Within his 10 years in the industry, Amaury’s objective has been to revolutionise planning and systems to make clinical supply chain more efficient, more ethical, less wasteful and more patient-centric.

Author

Antoine Remiot

Senior Director - Global Business Development & Partnerships, N-SIDE

Antoine Remiot is N-SIDE's Director of Solutions Engineering. Over the past years, Antoine has been sharing his enthusiasm about lean clinical supply chain management, waste reduction, and sustainability with various pharma partners he supported in their change management journey towards digitalization. Antoine is passionate about leveraging data and AI to improve clinical supplies efficiency. He gained expertise in forecasting, planning, IRT configuration, and end-to-end clinical supply chain optimization through his work on hundreds of trials on multiple indications.