PRISM: Patient Records Interpretation for Semantic clinical trial Matching system using large language models.

Shashi Gupta¹, Aditya Basu¹, Mauro Nievas¹, Jerrin Thomas¹, Nathan Wolfrath², Adhitya Ramamurthi², Bradley Taylor², Anai N Kothari³, Regina Schwind¹, Therica M Miller⁴, Sorena Nadaf-Rahrov⁵, Yanshan Wang⁶, Hrituraj Singh⁷

¹Triomics Research, San Francisco, CA, USA.

²Medical College of Wisconsin, Milwaukee, WI, USA.

³Medical College of Wisconsin, Milwaukee, WI, USA. akothari@mcw.edu.

⁴Icahn School of Medicine at Mount Sinai, New York, NY, USA.

⁵Cancer Informatics For Cancer Centers, Los Angeles, CA, USA.

⁶University of Pittsburgh, Pittsburgh, PA, USA. yanshan.wang@pitt.edu.

⁷Triomics Research, San Francisco, CA, USA. hrituraj@triomics.com.

PubMed PMC DOI PDF

Abstract

Clinical trial matching is the task of identifying trials for which patients may be eligible. Typically, this task is labor-intensive and requires detailed verification of patient electronic health records (EHRs) against the stringent inclusion and exclusion criteria of clinical trials. This process also results in many patients missing out on potential therapeutic options. Recent advancements in…

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