
This webinar has passed.
When?
Start:
January 1, 1970
11:00 AM
End:
January 1, 1970
11:30 AM ET

Discover how strategic planning and benchmarking can optimize clinical trial outsourcing for substantial savings and improved sourcing processes! In the current clinical trial landscape, we have all encountered challenges caused by inflation and resource constraints, leading to budget increases of sometimes upwards of 20%. Clinical outsourcing models are continuing to evolve from fixed pricing and full outsourcing towards more flexible hybrid approaches. As we find ourselves facing increasing protocol complexity and pricing volatility, the question arises - how can we equip the industry with effective negotiation tools while maintaining strong relationships with CROs? Join us for a lively discussion on the vital link between clinical trial cost benchmarking, sourcing, and the potential for substantial savings during the outsourcing process with Anca Copaescu, CEO, Strategikon and Rene Stephens, drug dev industry business operations and outsourcing consultant. During the conversation, we will delve into key topics such as:
- The importance of having an accurate clinical study plan and budget BEFORE you start sourcing.
- Cost benchmarking within the context of strategic partnerships with CROs: how to bring further transparency into the relationship.
- Gaining competitive bidding insights to ensure fairness and integrity for CROs in assumptions and pricing.
- Due diligence considerations – where do I focus: total cost, unit cost, rates, and hours?
- Change Orders are unavoidable…but can they be anticipated and costed out?
- Addressing the unique challenges biotech companies face in sourcing and planning, finding ways to emulate "big pharma" style without incurring excessive infrastructure costs.
Strengthen your processes and increase data-driven decision-making for faster study start-ups.

This webinar has passed.
When?
Start:
January 1, 1970
11:00 AM
End:
January 1, 1970
11:30 AM ET
Strengthen your processes and increase data-driven decision-making for faster study start-ups.
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