Will AI replace Advanced Practice Psychiatric Nurses?
AI can do 68% of the work Advanced Practice Psychiatric Nurses do at least twice as fast. People already use it for 1 of their 24 tasks, while 12 more are ready but barely used so far. Robots can technically handle 1 physical task. 10 still need a person.
AI is already doing this1 · 8% of time
People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.
- Educate patients and family members about mental health and medical conditions, preventive health measures, medications, or treatment plans.Mostly automated8% of time
AI could do this next12 · 61% of time
AI can speed these up by at least half, but real use has not caught up yet. These are next in line.
- Document patients' medical and psychological histories, physical assessment results, diagnoses, treatment plans, prescriptions, or outcomes.16% of time
- Assess patients' mental and physical status, based on the presenting symptoms and complaints.14% of time
- Conduct individual, group, or family psychotherapy for those with chronic or acute mental disorders.9% of time
- Develop and implement treatment plans.6% of time
- Evaluate patients' behavior to formulate diagnoses or assess treatments.5% of time
- Participate in activities aimed at professional growth and development, including conferences or continuing education activities.3% of time
- Teach classes in mental health topics, such as stress reduction.1% of time
- Develop practice protocols for mental health problems, based on review and evaluation of published research.1% of time
- Develop, implement, or evaluate programs such as outreach activities, community mental health programs, and crisis situation response activities.1% of time
- Refer patients requiring more specialized or complex treatment to psychiatrists, primary care physicians, or other medical specialists.1% of time
- Interpret diagnostic or laboratory tests, such as electrocardiograms (EKGs) and renal functioning tests.1% of time
- Distinguish between physiologically- and psychologically-based disorders, and diagnose appropriately.1% of time
Robots can technically do this1 · 0% of time
Physical tasks that today's robots can perform in at least some settings. Robots are cost competitive for very few tasks so far, so this change moves slower.
- Monitor the use and status of medical and pharmaceutical supplies.Robots: purpose built settingsunder 1% of time
Still needs a person10 · 32% of time
No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.
- Monitor patients' medication usage and results.8% of time
- Write prescriptions for psychotropic medications as allowed by state regulations and collaborative practice agreements.6% of time
- Diagnose psychiatric disorders and mental health conditions.5% of time
- Collaborate with interdisciplinary team members, including psychiatrists, psychologists, or nursing staff, to develop, implement, or evaluate treatment plans.4% of time
- Participate in treatment team conferences regarding diagnosis or treatment of difficult cases.3% of time
- Consult with psychiatrists or other professionals when unusual or complex cases are encountered.3% of time
- Treat patients for routine physical health problems.1% of time
- Provide routine physical health screenings to detect or monitor problems such as heart disease and diabetes.1% of time
- Administer medications, including those administered by injection.1% of time
- Direct or provide home health services.under 1% of time
Your week is not the average
Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.
What this means
AI can do most of this work faster, but a real part of the job still needs a person. Real use is still behind at 6 out of 100, so the change here is only getting started. The people who learn which tasks to hand off will pull ahead.
What to do next
- Do the 1 task AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
- Get ahead on the 12 tasks AI could do next. These move as tools improve, so learning them early pays off.
- Keep an eye on the 1 physical task robots can technically do. Cost keeps most robots out of work today, so this shift is slower.
- Build on the 10 tasks that stay human. This is where your judgment, skill and relationships matter most.
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