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Evidence item

The primary report limits the result to 355 retrospectively collected charts from non-small-cell lung or colorectal cancer patients and identifies review time as a secondary endpoint. DIRECT_TEXT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 25825

Source: Human-AI teaming to improve accuracy and efficiency of eligibility criteria prescreening for oncology trials: a randomized evaluation trial using retrospective electronic health records · locator {} · excerpt hash sha256:f0c4183340022ca3be8c3b3f5b5e3bd66b624325180ed6dbfbf50eedb92e9373

Exact excerpt
We conduct a randomized noninferiority trial using retrospectively collected clinical charts to compare the accuracy and efficiency of prescreening by trained research staff alone (Human-alone) vs. augmented with a pre-trained language model (Human+AI), among a cohort of 355 patients with non-small cell lung or colorectal cancer. ... However, efficiency is unchanged with similar average time per chart review, the secondary endpoint, (37.4 vs. 37.8 min).

Linked claims

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Audits

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