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

The Letter to the CEO component of the inclusive recruitment programme increased BME representation in senior leadership roles, but inequities still persist in the recruitment process, reflecting national NHS recruitment trends. While the initiative marks progress, further strategies are needed to ensure equitable recruitment, career development, and retention. Artificial intelligence tools, such as natural language processing, provide effective methods to evaluate and enhance EDI recruitment initiatives by analysing routinely collected recruitment data to identify areas for improvement and establish best practices.

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Publication Details

Journal
Human Resources for Health
Published
2025-05-22
DOI
https://doi.org/10.1186/s12960-025-00991-8
Primary Topic
Gender Diversity and Inequality
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Erik Mayer, Rabia Khalid, Catalina Carenzo, Sarindi Aryasinghe et al.
Human Resources for Health
Gender Diversity and Inequality
article

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

Erik Mayer, Rabia Khalid, Catalina Carenzo, Sarindi Aryasinghe, Karen Barnett, Chesla Clella Sherlock, Louise Clark, Kevin Croft, Tim Orchard, Koya Greenaway-Harvey
article en

Abstract

The Letter to the CEO component of the inclusive recruitment programme increased BME representation in senior leadership roles, but inequities still persist in the recruitment process, reflecting national NHS recruitment trends. While the initiative marks progress, further strategies are needed to ensure equitable recruitment, career development, and retention. Artificial intelligence tools, such as natural language processing, provide effective methods to evaluate and enhance EDI recruitment initiatives by analysing routinely collected recruitment data to identify areas for improvement and establish best practices.

Human Resources for HealthVol. 23(1)
Imperial College Healthcare NHS Trust (GB), NIHR Imperial Biomedical Research Centre (GB), Imperial College London (GB)
National Institute for Health and Care Research, Department of Health and Social Care, Imperial College London, NIHR Imperial Biomedical Research Centre
Reduced inequalities
Openalex Percentile: Top 86%
Gender Diversity and Inequality
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