Evaluating automated or artificial intelligence search tools for evidence synthesis

To advance information retrieval science for producing evidence syntheses at Canada's Drug Agency, the Research Information Services team developed a replicable process to evaluate automated or artificial intelligence (AI) search tools. The team inventoried 51 tools in the fall of 2023 and built a flexible evaluation instrument to inform adoption decisions and enable comparison between tools. Building on this foundational evaluation work, the team further conducted a comparative analysis on three top-ranked tools in the fall of 2024. The investigation confirmed that these automated or AI tools have inconsistent and variable performance for the range of information retrieval tasks performed by Information Specialists at Canada's Drug Agency. Implementation recommendations from this study informed a "fit for purpose" approach where Information Specialists leverage automated or AI search tools for specific tasks or project types.

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Publication Details

Journal
Journal of the Medical Library Association JMLA
Published
2026-04-13
DOI
https://doi.org/10.5195/jmla.2026.2341
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
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article

Evaluating automated or artificial intelligence search tools for evidence synthesis

Robin Featherstone
Journal of the Medical Library Association JMLA
Meta-analysis and systematic reviews
article

Evaluating automated or artificial intelligence search tools for evidence synthesis

Robin Featherstone
article en

Abstract

To advance information retrieval science for producing evidence syntheses at Canada's Drug Agency, the Research Information Services team developed a replicable process to evaluate automated or artificial intelligence (AI) search tools. The team inventoried 51 tools in the fall of 2023 and built a flexible evaluation instrument to inform adoption decisions and enable comparison between tools. Building on this foundational evaluation work, the team further conducted a comparative analysis on three top-ranked tools in the fall of 2024. The investigation confirmed that these automated or AI tools have inconsistent and variable performance for the range of information retrieval tasks performed by Information Specialists at Canada's Drug Agency. Implementation recommendations from this study informed a "fit for purpose" approach where Information Specialists leverage automated or AI search tools for specific tasks or project types.

Journal of the Medical Library Association JMLAVol. 114(2)
Canadian Agency for Drugs and Technologies in Health (CA)
Openalex Percentile: Top 24%
Meta-analysis and systematic reviews
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