 | Applying Industry Best Practices for
Improving Predictability of Clinical Trial Enrollment
An OnDemand presentation from the event held
Tuesday, May 6 2008 1:00 - 2:00 PM ET
Discuss New Strategies for Optimizing Clinical Trial Enrollment
Featuring: Computer and Electronics Industry Expert Shoshanah Cohen of PRTM
If you have been tasked to improve clinical trial enrollment in your organization, you need answers to these questions:
1. What can I do to make clinical trial enrollment more predictable?
2. What processes do I need to adopt to keep trials on budget and on schedule?
3. What can I learn from leaders from other industries who addressed similar predictability analytic challenges and concerns?
4. What best practices from other industries can I apply to address my clinical trial enrollment challenges?
This Webinar answers all these questions and more. You will learn how to apply predictive analytics and best practices from other industries to improve enrollment performance. You will also learn how these approaches can help you bring your clinical trials in on schedule and on budget.
In fact, according to leading industry sources, delays in clinical trials cost the life-sciences industry millions of dollars each year. Failure to reach enrollment goals is the No. 1 cause of clinical trial delays; according to recent reports, patient enrollment is only going to continue to worsen. Not only do clinical trial delays result in budget overruns but they also negatively impact the time to regulatory submission and ultimately increase the time needed to reach the market. The report card for clinical trial performance is grim:
- More than 90% of clinical trial sites delay enrollment — CenterWatch
- 72% of studies are delayed by more than a month — CISCRP
- Out-of-pocket costs are $1.2M on average per study for each month delayed — Top 10 Pharma Company report
- Delays in studies can cost life-sciences companies at least $800,000 a day in lost sales for a niche medication and $5.4 million a day for a blockbuster — McKinsey
- Each day gained saves $37K in out-of-pocket development costs and contributes an additional $1.1M in daily prescription revenue for an average performing drug — Tufts
Improving predictability in clinical trial enrollment is imperative if you are involved in clinical studies, clinical operations, clinical development, clinical informatics, or IT.
This is a program you can't afford to miss!
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