Leveraging artificial intelligence to support the application of quality improvement in healthcare (Sorlie, Preston, Aurelio, Glynn, Purani, Moore, Shah, 2025)
Sorlie, Clarissa; Preston, Chloe; Aurelio, Marco; 1Glynn, Edmund; Miller, Lamar; Purani, Akkash; Chitewe, Auzewell; McAllister, Sarah; Moore, Jo; Shah, Amar
British Journal of Healthcare Management (BR J HEALTHC MANAGE), Dec2025; 31(12): 1-12. (12p)
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.