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Mount Sinai Deploys PRISM AI to Match Cancer Patients to Trials Systemwide

The oncology-specific system scans EHR data to surface eligible cancer patients earlier.

Overview

  • PRISM uses Triomics’ OncoLLM, an oncology-tuned large language model, to analyze patient records and extract eligibility signals from clinical notes, pathology reports, and biomarkers.
  • The platform connects to Epic and Oracle Health through FHIR standards to flag potential matches in real time across Mount Sinai Queens, Brooklyn, South Nassau, Morningside, West, and other sites.
  • Mount Sinai positions the rollout to replace manual protocol-to-chart reviews so clinicians can focus on patient conversations and identify trial opportunities more consistently.
  • The institution says it is the first NCI-designated Comprehensive Cancer Center in New York City to deploy an oncology-focused AI trial-matching tool across its entire health system.
  • Leaders plan to evaluate the impact on clinical trial enrollment and report findings at scientific meetings and in peer-reviewed publications, with outcome data still pending.