How exposed to AI is a Nurse Anesthetist?

Of the 24 tasks O*NET lists for nurse anesthetists, 0 could be done in half the time with a chat window today. 18 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this


Also called
Certified Registered Nurse Anesthetist (CRNA)Nurse AnesthetistStaff Certified Registered Nurse Anesthetist (Staff CRNA)Staff Nurse Anesthetist
Reachable today Needs software built first Cannot be sped up
24
tasks rated for this occupation
100%
hold a degree, from a survey of 27
44k
people do this job in the US
74 of 89
least protected in healthcare practitioners

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Only with software built on top

6
  • Assess patients' medical histories to predict anesthesia response
  • Develop anesthesia care plans
  • Obtain informed consent from patients for anesthesia procedures
  • Evaluate patients' post-surgical or post-anesthesia responses, taking appropriate corrective actions or requesting consultation if complications occur
  • Perform or evaluate the results of diagnostic tests, such as radiographs (x-rays) and electrocardiograms (EKGs)
  • Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in nursing

Cannot be sped up

18
  • Manage patients' airway or pulmonary status, using techniques such as endotracheal intubation, mechanical ventilation, pharmacological support, respiratory therapy, and extubation
  • Respond to emergency situations by providing airway management, administering emergency fluids or drugs, or using basic or advanced cardiac life support techniques
  • Monitor patients' responses, including skin color, pupil dilation, pulse, heart rate, blood pressure, respiration, ventilation, or urine output, using invasive and noninvasive techniques
  • Select, order, or administer anesthetics, adjuvant drugs, accessory drugs, fluids or blood products as necessary
  • Select, prepare, or use equipment, monitors, supplies, or drugs for the administration of anesthetics
  • Perform or manage regional anesthetic techniques, such as local, spinal, epidural, caudal, nerve blocks and intravenous blocks
  • Prepare prescribed solutions and administer local, intravenous, spinal, or other anesthetics, following specified methods and procedures
  • Perform pre-anesthetic screenings, including physical evaluations and patient interviews, and document results
  • Calibrate and test anesthesia equipment
  • Administer post-anesthesia medications or fluids to support patients' cardiovascular systems
  • Select and prescribe post-anesthesia medications or treatments to patients
  • Select, order, or administer pre-anesthetic medications
  • Insert peripheral or central intravenous catheters
  • Insert arterial catheters or perform arterial punctures to obtain arterial blood samples
  • Discharge patients from post-anesthesia care
  • Request anesthesia equipment repairs, adjustments, or safety tests
  • Instruct nurses, residents, interns, students, or other staff on topics such as anesthetic techniques, pain management and emergency responses
  • Disassemble and clean anesthesia equipment
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.


Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.