Challenges and implications of the use of artificial intelligence in health care, with an emphasis on nursing. Scoping review.
Neelam Shah, Jyoti Bala, Ashutosh Sharma and 2 others
PMID 41289539WHAT IT FOUND
AI may support nursing assessment and monitoring, but it cannot replace nurses' clinical judgment.
Privacy, bias, consent, accountability, and unproven large language models remain unresolved risks.
Key findings
01AI may help nurses with decision making, assessment, and monitoring, but it cannot replace nurses' own decision making and skills.
02WHO says large language models can produce convincing but wrong health information and should not be widely adopted until safety and benefits are demonstrated.
03Key ethical risks are privacy, bias, unclear accountability, and difficulty obtaining informed consent.
STILL TO COME
How it was doneWhat they foundWhat it means for RNs
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What it does not show
The supplied text does not say how many articles were included or how their quality was assessed. It reports themes and recommendations, not patient outcomes or tested effects. The nursing section is broad and does not show which AI tools work for which patients. It includes WHO reports and ethical principles, which are guidance, not evidence that AI is safe or effective.
Declared interests
No funding or conflicts of interest are reported in the supplied text.
The easy way to misread this
Do not read this review as evidence that AI improves patient care or nursing outcomes. It reports ethical concerns and general implications, not tested interventions or patient results.