Exploring the potential of artificial intelligence usage in the knowledge and evidence services of a public health body: A working group approach

The UK Health Security Agency’s Knowledge and Library Services established an artificial intelligence working group in 2022 to explore the potential applications of artificial intelligence of relevance to its function. This article describes the working group's initial approach to testing and evaluating artificial intelligence and machine-learning-assisted tools for information retrieval and evidence review processes. These include duplicate-reference removal, citation searching, title and abstract screening, full text screening, data extraction and critical appraisal. These exploratory tests have demonstrated varying degrees of potential for implementation, while also contributing to broader discussions on ethical considerations, copyright and licensing issues, the transparency of artificial intelligence methodology, and evidence integrity. Reflecting the exploratory nature of this work, the testing presented in this article focused on identifying potential opportunities and challenges rather than formal validation. This overview outlines the approach taken and insights gained from navigating the evolving artificial intelligence landscape and its potential implications for knowledge, library and evidence services within a public health organisation.

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Publication Details

Journal
IFLA Journal
Published
2025-05-19
DOI
https://doi.org/10.1177/03400352251342513
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
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article

Exploring the potential of artificial intelligence usage in the knowledge and evidence services of a public health body: A working group approach

Patricia Lacey, Samuel M. Thomas, Charlotte Bruce, Daphné Duval et al.
2 citations
IFLA Journal
Artificial Intelligence in Healthcare and Education
1.31
article

Exploring the potential of artificial intelligence usage in the knowledge and evidence services of a public health body: A working group approach

Patricia Lacey, Samuel M. Thomas, Charlotte Bruce, Daphné Duval, Zalaya Simmons, Scott Rosenberg, Wendy Marsh
article en
2 citations

Abstract

The UK Health Security Agency’s Knowledge and Library Services established an artificial intelligence working group in 2022 to explore the potential applications of artificial intelligence of relevance to its function. This article describes the working group's initial approach to testing and evaluating artificial intelligence and machine-learning-assisted tools for information retrieval and evidence review processes. These include duplicate-reference removal, citation searching, title and abstract screening, full text screening, data extraction and critical appraisal. These exploratory tests have demonstrated varying degrees of potential for implementation, while also contributing to broader discussions on ethical considerations, copyright and licensing issues, the transparency of artificial intelligence methodology, and evidence integrity. Reflecting the exploratory nature of this work, the testing presented in this article focused on identifying potential opportunities and challenges rather than formal validation. This overview outlines the approach taken and insights gained from navigating the evolving artificial intelligence landscape and its potential implications for knowledge, library and evidence services within a public health organisation.

IFLA JournalVol. 51(3)
Dorset County Hospital NHS Foundation Trust (GB), University Hospitals Dorset NHS Foundation Trust
Openalex Percentile: Top 16%
Artificial Intelligence in Healthcare and Education
1.31
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Exploring the potential of artificial intelligence usage in the knowledge and evidence services of a public health body: A working group approach — Patricia Lacey, Samuel M. Thomas, et al. · IFLA Journal (2025) | TGRS Research Map | TGRS