Will acute care nurses be replaced by AI?

Updated

Acute care nurses score 37 of 100 for AI exposure. The largest share of their task time, 65%, is work AI speeds up while they stay in charge. AI can take over 8% outright, and 27% stays with people.

  • 8% AI can do it
  • 65% AI helps
  • 27% Needs a person
370100

Moderate exposure

Lower than 50% of the 923 occupations we scored.

Task by task

We graded 27 tasks, listed here from most to least exposed. AI can do 2 of them today, speeds up 18 and leaves 7 to people.

TaskAI exposure
Document data related to patients' care, including assessment results, interventions, medications, patient responses, or treatment changes. Charting and documentation are highly suited to AI drafting.82% AI can do it
Perform administrative duties that facilitate admission, transfer, or discharge of patients. Admission, transfer and discharge paperwork is largely automatable.62% AI can do it
Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in acute care. AI summarizes literature well; conferences and peer talk stay human.55% AI helps
Analyze the indications, contraindications, risk complications, and cost-benefit tradeoffs of therapeutic interventions. AI checks risks and interactions; tradeoff judgment stays clinical.50% AI helps
Provide formal and informal education to other staff members. AI can draft teaching materials; live teaching stays with nurses.45% AI helps
Participate in the development of practice protocols. AI drafts protocol text; committee review and approval stay human.45% AI helps
Refer patients for specialty consultations or treatments. Referral letters are drafted easily; consult relationships stay human.42% AI helps
Interpret information obtained from electrocardiograms (EKGs) or radiographs (x-rays). AI reads ECG and chest imaging; nurse verifies findings.40% AI helps
Assist patients in organizing their health care system activities. Forms and scheduling are automatable; advocacy needs human presence.40% AI helps
Diagnose acute or chronic conditions that could result in rapid physiological deterioration or life-threatening instability. Clinical decision support helps; diagnosis still rests on bedside judgment.35% AI helps
Show the other 17 tasks
TaskAI exposure
Collaborate with patients to plan for future health care needs or to coordinate transitions and referrals. AI drafts transition plans; shared planning needs human relationship.35% AI helps
Distinguish between normal and abnormal developmental and age-related physiological and behavioral changes in acute, critical, and chronic illness. Pattern references help; bedside observation of change needs clinician.35% AI helps
Order, perform, or interpret the results of diagnostic tests and screening procedures based on assessment results, differential diagnoses, and knowledge about age, gender and health status of clients. AI suggests orders; performing tests and results review stay clinical.35% AI helps
Assess urgent and emergent health conditions, using both physiologically and technologically derived data. AI triages monitor data; bedside assessment stays human.30% AI helps
Prescribe medications and observe patients' reactions, modifying prescriptions as needed. Prescribing carries legal accountability; AI can flag interactions.30% AI helps
Discuss illnesses and treatments with patients and family members. Explaining illnesses is live conversation; AI drafts materials only.25% AI helps
Collaborate with members of multidisciplinary health care teams to plan, manage, or assess patient treatments. Meeting summaries help; coordination needs human relationships.25% AI helps
Assess the impact of illnesses or injuries on patients' health, function, growth, development, nutrition, sleep, rest, quality of life, or family, social and educational relationships. Impact assessment is partly structured; family dynamics need people.25% AI helps
Manage patients' pain relief and sedation by providing pharmacologic and non-pharmacologic interventions, monitoring patients' responses, and changing care plans accordingly. AI aids pain protocols; bedside titration and comfort remain human.22% AI helps
Participate in patients' care meetings and conferences. Attending conferences is in person; AI summarizes notes.22% AI helps
Assess the needs of patients' family members or caregivers. Family needs assessment relies on live conversation and empathy.18% Needs a person
Obtain specimens or samples for laboratory work. Drawing specimens requires physical skill and patient contact.10% Needs a person
Adjust settings on patients' assistive devices, such as temporary pacemakers. Device adjustments need physical access and clinical authority.10% Needs a person
Set up, operate, or monitor invasive equipment and devices, such as colostomy or tracheotomy equipment, mechanical ventilators, catheters, gastrointestinal tubes, and central lines. Operating invasive devices requires hands-on physical work.8% Needs a person
Administer blood and blood product transfusions or intravenous infusions, monitoring patients for adverse reactions. Transfusions and IV starts are hands on physical care.8% Needs a person
Treat wounds or superficial lacerations. Wound care and lacerations require hands on physical treatment.8% Needs a person
Perform emergency medical procedures, such as basic cardiac life support (BLS), advanced cardiac life support (ACLS), and other condition-stabilizing interventions. Hands-on resuscitation and emergency stabilization needs physical presence.5% Needs a person

How acute care nurses compare

All occupations (923)

Healthcare practitioners and technical (89)

Acute care nurses score 37, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 34 for healthcare practitioners and technical.

Pay and outlook in the US

Median pay
$97,550 a year, May 2025
Projected change in jobs
+5.6% from 2024 to 2034

Skills to build

  • Chart assessments and treatment changes in eClinicalWorks EHR
  • Run ACLS and BLS resuscitation at the bedside
  • Set up mechanical ventilators, central lines and catheters
  • Hold a current CCRN certification from AACN
  • Adjust temporary pacemaker settings under physician orders
  • Review AI-drafted practice protocols in committee before approval

Safer roles nearby

5 related occupations with lower scores.

Questions about acute care nurses and AI

Will AI replace acute care nurses?

Partly. About 3 in 10 working hours go to tasks AI can already do, mostly charting and admission, transfer and discharge paperwork. Bedside care stays with nurses because it needs a person in the room.

Which tasks will AI take over for acute care nurses?

Charting is the most exposed task, with an exposure score of 82, because AI can draft notes from assessment results, interventions, medications and patient responses. Admission, transfer and discharge paperwork follows at 62, since those forms are largely automatable.

Which tasks stay with acute care nurses?

Emergency stabilization stays with acute care nurses, with an exposure score of 5, because resuscitation needs physical presence. Setting up ventilators, central lines and catheters also scores 8, since operating invasive devices is hands-on physical work. Transfusions and IV starts score 8 too and need a person at the bedside.

How do acute care nurses stay valuable as AI spreads?

Keep the hands-on skills that score lowest on exposure, such as ACLS resuscitation and central line care, and hold a current CCRN certification from AACN. Use AI drafts in eClinicalWorks EHR for charting, then check every medication entry before signing. Lead teaching sessions in person and sit on the practice protocol committee to review AI-drafted text before approval.

Next steps for acute care nurses

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