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Increasing the ethnic diversity of senior leadership within the English National Health Service: using an artificial intelligence approach to evaluate inclusive recruitment strategies in hospital settings

Crossref DOI link: https://doi.org/10.1186/s12960-025-00991-8

Published Online: 2025-05-22

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Aryasinghe, Sarindi

Carenzo, Catalina

Barnett, Kerri-Ann

Khalid, Rabia

Greenaway-Harvey, Koya

Sherlock, Colleen

Clark, Louise

Croft, Kevin

Orchard, Tim

Mayer, Erik
Funding

Funding for this research was provided by:

National Institute for Health Research (NIHR) Imperial Biomedical Research Centre (NIHR203323, NIHR203323, NIHR203323)
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Text and Data Mining valid from 2025-05-22

Version of Record valid from 2025-05-22
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Article History

Received: 15 December 2024

Accepted: 28 April 2025

First Online: 22 May 2025

Declarations

:

: Service evaluation approval was obtained for this study from Imperial College Healthcare NHS Trust (approval no: 864/2023) and the iCARE Secure Data Environment Data Access and Ethics Committee. The iCARE research database was given favourable ethics approval by the South West—Central Bristol Research Ethics Committee (reference 21/SW/0120; IRAS project ID 282093). Consent to participate was waived as study uses secondary data.

: Not applicable.

: The authors declare that they have no competing interests.

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