Using IRT Predictive Logic to Control IP Inventory Levels at Sites in Oncology and Complex Studies

Oncology and other complex studies require careful management of clinical supply. Interactive response technology (IRT) systems assist in handling variations in supply availability and factors such as variable visit schedules, cohort escalation and expansion, and titrations with unknown doses.

We estimate that 95% of clinical research study teams are not using IRT effectively, resulting in unoptimized clinical supply levels at sites. In this webinar, IRT expert, Natalie Nicholson, Director, Systems Analysis and Design, Signant Health, will discuss how to leverage predictive supply algorithms in IRT to manage these complexities, which can optimize study drug shipment and dispensation to reduce waste, total shipments, and reconciliation and return efforts.

Key Lessons:

• Discuss how the current state of IRT uses static inventory assumptions to manage supplies for sites and subjects
• Analyze the resulting intelligence gap between what is sent in shipments versus optimal supply efficiency
• Rethink the traditional IRT static approach and how enhanced algorithms can account for site and subject specifics when ordering supplies

Speaker

Natalie Nicholson, Director, Systems Analysis and Design, Signant Health

Natalie Nicholson has been with the company for more than 10 years. Before changing her focus to IRT, she spent time in the pharmaceutical arena in bulk investigational product manufacturing and commercial packaging. She has a Bachelor of Science degree in Molecular Chemistry and Medicinal Pharmacology from Purdue University and an MBA from Drexel University.

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