Leveraging artificial intelligence to support the application of quality improvement in healthcare

The use of artificial intelligence in healthcare has grown significantly, with generative AI (GenAI) offering the potential to support quality improvement processes in NHS services. The authors conducted a case study at East London NHS Foundation Trust, where quality improvement department staff tested GenAI tools over three phases. Participants used these tools to address quality improvement tasks, with feedback gathered through surveys and a standardised data collection tool. A total of 49 tests were conducted, with GenAI being particularly useful for tasks such as identifying problems, developing strategies and supporting creativity. Tests showed high levels of satisfaction, with 85% of tasks being rated helpful by users, especially in improving efficiency and generating ideas. GenAI tools also reduced time spent on quality improvement tasks, facilitated idea generation and supported data handling. However, these tools appeared to be most effective as a starting tool, requiring further human input for refinement. The authors believe that GenAI can enhance quality improvement processes in healthcare, boosting efficiency and supporting creativity, although further research is needed to refine its integration into broader quality improvement workflows.

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Publication Details

Journal
British Journal of Healthcare Management
Published
2025-12-01
DOI
https://doi.org/10.12968/bjhc.2025.0027
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Leveraging artificial intelligence to support the application of quality improvement in healthcare

Auzewell Chitewe, Akkash Purani, Charles Preston, Clarissa Sorlie et al.
British Journal of Healthcare Management
Artificial Intelligence in Healthcare and Education
article

Leveraging artificial intelligence to support the application of quality improvement in healthcare

Auzewell Chitewe, Akkash Purani, Charles Preston, Clarissa Sorlie, Jo Ellen Moore, Sarah McAllister, Marco Aurélio, Lamar Miller, Amar Shah, Ernest Glynn
article en

Abstract

The use of artificial intelligence in healthcare has grown significantly, with generative AI (GenAI) offering the potential to support quality improvement processes in NHS services. The authors conducted a case study at East London NHS Foundation Trust, where quality improvement department staff tested GenAI tools over three phases. Participants used these tools to address quality improvement tasks, with feedback gathered through surveys and a standardised data collection tool. A total of 49 tests were conducted, with GenAI being particularly useful for tasks such as identifying problems, developing strategies and supporting creativity. Tests showed high levels of satisfaction, with 85% of tasks being rated helpful by users, especially in improving efficiency and generating ideas. GenAI tools also reduced time spent on quality improvement tasks, facilitated idea generation and supported data handling. However, these tools appeared to be most effective as a starting tool, requiring further human input for refinement. The authors believe that GenAI can enhance quality improvement processes in healthcare, boosting efficiency and supporting creativity, although further research is needed to refine its integration into broader quality improvement workflows.

British Journal of Healthcare ManagementVol. 31(12)
East London NHS Foundation Trust (GB), National Institute for Health and Care Excellence (GB), NHS England, London School of Theology (GB)
Openalex Percentile: Top 68%
Artificial Intelligence in Healthcare and Education
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Leveraging artificial intelligence to support the application of quality improvement in healthcare — Auzewell Chitewe, Akkash Purani, et al. · British Journal of Healthcare Management (2025) | TGRS Research Map | TGRS