Christmas Eve in the ICU: when AI says 'escalate' and clinical experience says 'wait'. Every day, experienced nurses face moments where algorithms conflict with judgment. These moments of overlap reveal the true nature of human-AI collaboration and why getting them right matters for patient safety during the holidays.

AI tools influence daily clinical decisions, but their errors often stay hidden inside routine workflows. This article explains how small algorithmic shifts place risk on the bedside and why nurses detect system drift before anyone else.

Nurses now work inside a digital ecosystem where system failures turn into clinical risks. Cyber hygiene skills help nurses spot problems early, protect data accuracy, and keep patient care safe as AI tools expand across healthcare.

AI is transforming nursing practice with both promise and peril. With 64% of nurses wanting more AI tools and 44% of metro hospitals already adopting them, nursing leaders must navigate opportunities in clinical decision support, workflow automation, and education—while addressing critical risks around bias, data quality, and workforce impact. This article provides an evidence-based roadmap for responsible AI integration

Clinical vigilance, not algorithmic certainty, protects patients. Nurses lead when judgment and technology work together.