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Applying Artificial Intelligence to Site Selection and Feasibility

Sponsors are revolutionizing the site experience by leveraging artificial intelligence (AI) to develop a survey automation tool, significantly simplifying the site feasibility survey process. This tool aims to reduce administrative burdens, enhance data accuracy, and provide real-time support, making it easier for sites to participate in clinical trials. Beyond current metrics, AI is also employed to identify the best-fit sites by creating an optimal potential site list based on extensive priorities. This includes tiering sites according to past performance, quality, and proximity to diverse catchment areas. By integrating these advanced AI-driven techniques, sponsors ensure that the site selection process is efficient, inclusive, and of the highest quality. These efforts not only streamline operations but also foster stronger collaborations with sites, ultimately advancing clinical research and improving patient outcomes.

CEU: 1.00 ACRP

Speaker:

  • Bonnie Lam, Feasibility, Strategy and Analytics Lead, Pfizer Inc.