Psychiatric Aides
HealthcareAI exposure
- Data source: BLSPublished: 2026-08
Low· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.14
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 95% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Exposed tasks onlyValues in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Interview patients upon admission and record information.O*NET Task ID 2002 | 1.0 |
Record and maintain patient information, such as vital signs, eating habits, behavior, progress notes, treatments, or discharge plans.O*NET Task ID 18697 | 1.0 |
Complete administrative tasks, such as entering orders into computer, answering telephone calls, or maintaining medical or facility information.O*NET Task ID 18698 | 1.0 |
Provide mentally impaired or emotionally disturbed patients with routine physical, emotional, psychological, or rehabilitation care under the direction of nursing or medical staff.O*NET Task ID 1994 | 0.0 |
Work as part of a team that may include psychiatrists, psychologists, psychiatric nurses, or social workers.O*NET Task ID 1996 | 0.0 |
Aid patients in becoming accustomed to hospital routine.O*NET Task ID 1997 | 0.0 |
Organize, supervise, or encourage patient participation in social, educational, or recreational activities.O*NET Task ID 1998 | 0.0 |
Perform nursing duties, such as administering medications, measuring vital signs, collecting specimens, or drawing blood samples.O*NET Task ID 1999 | 0.0 |
Serve meals or feed patients needing assistance or persuasion.O*NET Task ID 2000 | 0.0 |
Restrain or aid patients as necessary to prevent injury.O*NET Task ID 2001 | 0.0 |
Provide patients with assistance in bathing, dressing, or grooming, demonstrating these skills as necessary.O*NET Task ID 2003 | 0.0 |
Participate in recreational activities with patients, including card games, sports, or television viewing.O*NET Task ID 2004 | 0.0 |
Maintain patients' restrictions to assigned areas.O*NET Task ID 2005 | 0.0 |
Accompany patients to and from wards for medical or dental treatments, shopping trips, or religious or recreational events.O*NET Task ID 2006 | 0.0 |
Clean and disinfect rooms and furnishings to maintain a safe and orderly environment.O*NET Task ID 2007 | 0.0 |
Complete physical checks and monitor patients to detect unusual or harmful behavior and report observations to professional staff.O*NET Task ID 18696 | 0.0 |
Listen and provide emotional support and encouragement to psychiatric patients.O*NET Task ID 20578 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page