Examining the Role of AI in Changing the Role of Nurses in Patient Care: Systematic Review.
Inas Al Khatib, Malick Ndiaye
PMID 39970436WHAT IT FOUND
Most AI tools for nursing are still early tests; only a few are deployed.
Where used, they support monitoring, triage, wound care and pain assessment.
Key findings
01Most AI applications in the review were still proof-of-concept, with 13 of 16 in that phase.
02The included AI applications covered nursing activities such as diagnosis, treatment, wound management, education, training and triage.
03For the Rothman Index, timely nurse assessment data from the electronic medical record is essential for the score to be useful.
STILL TO COME
How it was doneWhat they foundWhat it means for RNs
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What it does not show
This is a literature review, not a trial or patient study, so it cannot show whether AI improves patient outcomes. Most AI applications were still proof-of-concept, with only 3 of 16 reported as deployed. The search was limited to English-language sources and mainly Scopus plus gray literature, so relevant studies may have been missed. Study selection and quality appraisal were done by the authors themselves, and thematic analysis can be subjective. Included sources varied in type and quality, and some policy or gray sources may carry institutional viewpoints.
Declared interests
The authors declared no conflicts of interest. The article metadata lists non-U.S. government research support, but no funder is named in the text.
The easy way to misread this
Do not read this as proof that AI tools are ready to replace nurses or improve patient care. Most applications were still proof-of-concept, and the review says evidence in nursing AI is minimal.