EURO 2024 Copenhagen
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356. Site selection problems for clinical trial supply chains

Invited abstract in session MA-17: Decision support in healthcare, stream OR in Health Services (ORAHS).

Monday, 8:30-10:00
Room: 40 (building: 116)

Authors (first author is the speaker)

1. Anh Ninh
Mathematics, William & Mary
2. Yunhong Bao
Duke University
3. Daniel Mcgibney
University of Miami
4. Tuan Nguyen
Edwards LifeSciences

Abstract

Recruiting candidates globally and across multiple sites in different geographic regions is necessary to speed up the enrollment of clinical trials. While patient enrollment can benefit from this globalization, initiating clinical trials has become much more complicated. In the start-up stage, the sites must be selected out of a set of potential candidates around the globe based on the specifics of those clinical trials, such as protocols, operational costs, and recruitment deadlines. Sites in one region can be very distinct from sites in another area. Yet, a common mistake in selecting sites is to rely on too little knowledge or subjective data. Poor selection decisions can lead to study delays and prolong the time to market for life-saving treatments. Thus, we propose a framework to aid the decision-making in global site selection problem. To ensure that our framework accurately captures the uncertainty in recruitment time, we adopt a risk-based constraint that accounts for random patient enrollment. The extensive computational studies help quantify significant time-cost trade-offs as a potential solution to control the costs of conducting a trial.

Keywords

Status: accepted

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