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TRV-2026-0666Certified recordPeer-reviewed

TrialTriage, a Semiautonomous Prescreening Workflow for Resolving Ambiguity in Phase I Oncology Trial Eligibility: Development and Proof-of-Concept Study Using Synthetic Cases

Enrollment in phase I oncology trials remains low largely because potentially eligible patients are not identified and evaluated quickly enough. Current clinical trial matching systems can identify candidate patients from the electronic health record, but cases with missing or uncertain eligibility data are often routed for offline manual review. This delay impedes clarification and prolongs the final eligibility determination. This study evaluated TrialTriage, a semiautonomous system built on the n8n platform a…

Health · The Trace — both readings · certified 2026-08-06 · v1 · article view · machine-readable

Current reading — gain

TrialTriage achieved perfect concordance with ground truth on 90 synthetic phase I oncology cases and reclassified ambiguous cases to definitive eligibility after capturing investigator email replies, processing cases in seconds compared to slower manual review.

Current reading — problem

Some ambiguous cases remained unresolved when investigator replies lacked actionable information, and cases with no reply after 48 hours still required deferral to offline manual review.

What this doesn’t fix

Evaluation used only synthetic cases with label definitions aligned to the same protocol rules used to design the rule engine, so results reflect implementation fidelity not real-world clinical performance.

Evidence

Reader signal

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Truvace Impact Record TRV-2026-0666, v1: “TrialTriage, a Semiautonomous Prescreening Workflow for Resolving Ambiguity in Phase I Oncology Trial Eligibility: Development and Proof-of-Concept Study Using Synthetic Cases.” Truvace, 2026-08-06. /record/TRV-2026-0666 (accessed at citation time). sha256 244046a80329f834…

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