Introduction

The role of quality and safety professionals and leaders in realising the potential and managing the risks of artificial intelligence (AI) tools has not been well defined. We suggest these leaders focus on three areas: using quality, safety and implementation sciences to increase the likelihood of beneficial AI adoption; using AI to enhance and support the methods of quality and safety management; and serving as experts and champions for AI tool use that promotes health and equity (figure 1).

Background and approach

We used 90-day research and development cycles1 to examine AI topics and the role of quality and safety leaders with respect to AI integration, including applying AI tools for quality improvement (QI) use cases,2 the broad application of AI in quality management systems, the implications of AI for patient safety3 and the use of AI...

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