AI is no longer a “someday” topic in nursing. It already appears in the tools we use to document care. It helps to monitor patients. It supports clinical decisions. Nursing organisations and universities are increasingly describing AI as a major frontier for the profession. However, it is also a space where the benefits and potential harms need to be understood side-by-side.

This blog post introduces AI in Nursing by AI Nurses Network, which looks at where AI is being used (and where it’s being proposed), what it can genuinely improve (e.g., efficiency and earlier detection of deterioration), and what it can compromise if implemented poorly (e.g., bias, safety, privacy, and over-reliance on “black box” outputs).

Most importantly, it focuses on the nurse’s role: being actively involved in choosing, shaping, and governing AI so it strengthens—rather than replaces—clinical judgement and the human connection at the heart of care.

Supporting Resource

O’Connor, S., Yan, Y., Thilo, F. J., Felzmann, H., Dowding, D., & Lee, J. J. (2023). Artificial intelligence in nursing and midwifery: A systematic review. Journal of Clinical Nursing, 32(13-14), 2951-2968.