ANA Calls for Nurse-Led Guardrails as AI Use Climbs in U.S. Nursing
The guidance aims to protect clinical judgment to keep patients safe as tools move from paperwork to bedside.
Overview
- The ANA, which released a consensus from an April 22 think tank on Tuesday, urged nurse-led rules to steer how AI is built, bought, and used in care.
- Nursing leaders warned that AI can erode judgment through overreliance, blur liability, encode bias, and raise cognitive load when tools are rolled out poorly.
- The report outlined five near-term steps that include clear guardrails, a nursing AI playbook, basic and advanced AI training, stronger policy advocacy, and ongoing cross-sector work.
- A McKinsey survey published Tuesday found nearly 65% of more than 500 U.S. nurses now use more AI tools than a year ago, though 23% report no use and about 2% say AI is fully built into daily work.
- Surveyed nurses said trust in AI outputs is their top worry at 33%, with reduced human interaction and data privacy next, and most current use centers on documentation and medication tasks while a smaller group uses AI for decision support, raising the need for standards and clear accountability.