From Static Outputs to Living Evidence: AI for Integrated Knowledge Translation in Canadian Health Research
Zack van Allen, Jayne Beselt, Jerry M Maniate, Samuel Hickcox, Joshua A Rash, Kumanan Wilson, Douglas Archibald, Arun Radhakrishnan · 2026
Read From Static Outputs to Living Evidence: AI for Integrated Knowledge Translation in Canadian Health Research by Zack van Allen, Jayne Beselt, Jerry M Maniate, Samuel Hickcox, Joshua A Rash, Kumanan Wilson, Douglas Archibald, Arun Radhakrishnan (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13426119.txt.
Description
Van Allen and colleagues wrote a 2026 viewpoint on using AI to keep research evidence alive. Health teams still share findings through static reports that age fast. Decision makers need answers between meetings, not months after grants end. The authors sketch a chat layer over curated research outputs for Canada.
Their plan pairs search tools with language models over approved materials. Every answer would carry its sources, so users can check the trail. Privacy guards, clear records, and fair access are built in by design. The paper offers a design vision, not a test of a live system. Governed this way, they argue, evidence could reach decisions far faster. Shorter lags between findings and use could save money and lives.
Catalog record
| CREATOR | Zack van Allen, Jayne Beselt, Jerry M Maniate, Samuel Hickcox, Joshua A Rash, Kumanan Wilson, Douglas Archibald, Arun Radhakrishnan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 18 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |