ECRI has named uncontrolled clinical AI the top patient safety hazard for 2025. This article explains why unchecked algorithms pose real risks at the bedside and what nurses must demand to protect patients, equity, and clinical judgment.

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.

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

AI is transforming the clinical workspace, but machines also need to learn from nurses. This article explores the hidden skillset nurses bring to AI-driven care and why empathy and context are vital for patient safety.

Cybersecurity is not just an IT issue. In healthcare, it is patient safety. Cyberattacks can delay medications, block lab results, and put lives at risk. Nurses and clinicians must treat every system failure or phishing attempt as a potential safety threat. This article reframes cybersecurity through a clinical lens and offers steps for building a cyber-aware culture.