The evolving role of nursing informatics in the era of artificial intelligence.
Abdulqadir J Nashwan, Jc A Cabrega, Mutaz I Othman and 5 others
PMID 39794874WHAT IT FOUND
AI tools are described as flagging patient deterioration and helping nurses prioritize care, but the review does not test patient outcomes; nurses must check data quality and keep clinical judgment.
Key findings
01The review describes AI monitoring and decision-support tools as providing alerts and helping nurses prioritize care.
02The review says bias and poor data quality can cause care errors, so nurses must validate AI-generated recommendations and use clinical judgment.
03The review identifies privacy, security and unequal access as major barriers to AI in nursing.
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 narrative review, not a trial or systematic review, so it cannot show that AI tools improve patient care. It does not report how many studies were included or how their quality was assessed. Much of the content is recommendations and future predictions, not results from patients.
Declared interests
No conflicts of interest were declared. Open access funding was provided by the Qatar National Library.
The easy way to misread this
Do not conclude that AI tools improve patient outcomes. The paper is a narrative review of examples and recommendations, not a trial or systematic review with patient results.