From Static Outputs to Living Evidence: AI for Integrated Knowledge Translation in Canadian Health Research.

Authors

Zack van Allen, Jayne Beselt, Jerry M Maniate, Samuel Hickcox, Joshua A Rash, Kumanan Wilson, Douglas Archibald, Arun Radhakrishnan

Published in

JMIR AI. Volume 5. Pages e99386. Jul 31, 2026. Epub Jul 31, 2026.

Abstract

Integrated knowledge translation still relies on static reports, presentations, and manuscripts that cannot adapt to decision-makers' evolving questions. Retrieval-augmented large language models can add a secure, auditable conversational layer over curated program outputs and selected research materials, enabling rapid, traceable synthesis between meetings and across portfolios. Treating these tools as governed infrastructure, with mandatory provenance, privacy protections, transparent documentation, and equity by design, could help reduce friction in evidence exchange and shorten the lag between knowledge creation and use. This viewpoint paper advances a conceptual design vision and the governance it requires, rather than reporting an evaluation of a deployed system.

PMID:
42536038
Bibliographic data and abstract were imported from PubMed on 31 Jul 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.