Real-World Evaluation of an AI Agent Drafting Translational Impact Summaries
4.20T1 sourcearXiv cs.HC
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2607.16989.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA real-world evaluation of a human-in-the-loop AI agent that drafts Translational Science Benefits Model impact summaries for 10 KL2/K12 scholars at one CTSA hub. Reviewers accepted or edited 81.7% of 507 findings, reducing per-scholar time from an estimated 15 hours to 14 minutes; usefulness rated 4.8/5.
Why it mattersConcrete deployment data on a human-in-the-loop agent replacing manual dossier assembly — usable as a pattern for similar administrative pipelines in research or grants offices.
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