AI in Nurse Anesthesia Education and Leadership
For the CRNAs who teach, lead, and sit at the table when AI arrives.
For program faculty, clinical educators, and chief CRNAs: setting a workable generative-AI policy, keeping assessment honest when AI is everywhere, teaching judgment alongside the tools, and representing anesthesia when your institution selects and monitors them.
Nurse anesthesia faculty, clinical educators and preceptors, chief CRNAs, and CRNAs serving on hospital AI or technology committees.
What you'll be able to do
Concrete, bedside-ready capabilities — not abstract objectives.
Write a generative-AI policy for a program or department that learners and clinicians can actually follow.
Design assessments that still measure clinical reasoning when generative AI is available.
Teach learners to question, verify, and document AI outputs at the bedside.
Represent anesthesia on an institutional AI committee, from selection and local validation to monitoring.
Evaluate AI tools marketed to education programs, such as tutoring, grading, and simulation.
Your instructor
Anastasia is a practicing nurse anesthetist who also builds clinical software. That combination is rare — she works in the OR and with the code, so she can translate what these AI tools actually do into language clinicians use, without the vendor spin.