Yale nursing prof: AI must extend nurses, not replace them

A hospital recently laid off 12 nurses and replaced them with AI-powered software. That case sits behind a Yale News Q&A with Christine Rodriguez, assistant professor and associate dean of nursing impact at the Yale School of Nursing, who argues AI belongs in nursing only as an extension of clinical judgment, not a substitute for it.

Rodriguez sees a role for tools like ambient scribes that transcribe patient-provider conversations in real time, and she cites predictive analytics inside electronic health records and high-fidelity simulation manikins as places where the technology genuinely helps. What she resists is anything that pushes a nurse out of the moral middle of the encounter. "AI needs to remain an extension of the decisions that we make as nurses," she says. "When we rely on AI to be moral, when we rely on AI to speak to the lived experience of us as human beings, that is where AI fails."

Her broader worry is what nursing loses if efficiency wins by default. Rodriguez frames the profession as both science and art, and says that "for a lot of us, there's this fear of the human narrative being erased," with patients reduced to "algorithmic biomedical setpoints rather than human beings." She also flags that healthcare-industry actors, not clinicians, train the algorithms, which risks baking existing biases into care, and that the data centers underpinning these tools tend to land in marginalized communities.

Her prescription for nursing schools is to teach students to work alongside AI while keeping their critical thinking intact, choosing tools that free clinicians for face-to-face time rather than swapping them out for software.