Nurses Adopt AI Tools Rapidly But Question Accuracy for Patient Care

Artificial intelligence is spreading through American hospitals at an accelerating pace, but the nurses using it daily remain skeptical about its reliability. A new survey reveals that 44 percent of nurses now use AI in their work, nearly triple the 15 percent who reported using it just one year ago. Yet more than 80 percent say the technology isn't accurate enough to rely on without human verification.

Why it matters

With the U.S. facing a shortage of 263,000 registered nurses—a gap expected to widen—health systems are turning to AI as a potential solution. But frontline skepticism about accuracy and limited time savings suggest the technology may not address workforce challenges as quickly as administrators hope. The disconnect between adoption rates and trust levels signals that implementation is outpacing proven value in clinical settings.

Common Uses and Limited Returns

The survey of more than 2,200 nurses, released Tuesday by Incredible Health, a health care staffing software company, shows AI is being deployed primarily for administrative tasks. Top applications include documenting patient interactions, drafting emails, creating educational materials for patients and families, and looking up drug or clinical references.

Despite these use cases, the time-saving benefits remain unclear. Nearly half of nurses who used AI reported it saved them no time during their last use. Only 19 percent said it saved them more than an hour.

Pessimism About Workforce Impact

The nursing shortage represents one of the most pressing challenges in American health care, according to the Health Resources and Services Administration. Yet nurses themselves don't see AI as a meaningful solution. Just 11 percent of survey respondents believe the technology will significantly help address the shortage over the next five years.

This pessimism stands in sharp contrast to the rapid adoption curve. The threefold increase in AI usage within a single year suggests hospitals and health systems are pushing the technology into clinical workflows faster than nurses are developing confidence in its capabilities.

The Verification Bottleneck

The finding that over 80 percent of nurses consider AI insufficiently accurate for unverified use highlights a fundamental challenge. If every AI-generated note, patient education document, or clinical reference must be checked by a human professional, the technology may simply shift work rather than reduce it. This verification requirement could explain why so many nurses report minimal or no time savings.

The Washington Post first reported these findings, which underscore the gap between AI's promise in health care and its current performance in real-world clinical environments where accuracy and patient safety are paramount.