Will AI replace Physician Assistants?
Estimated risk score: 38 out of 100
Lower replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (19 to 57).
For the occupation as a whole, from ratings of its 12 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 29-1071.00 · Healthcare Practitioners and Technical
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 1 of its 12 rated tasks. In O*NET’s words.
- Order medical and laboratory supplies and equipment.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 3 of its 12 rated tasks. In O*NET’s words.
- Perform therapeutic procedures, such as injections, immunizations, suturing and wound care, and infection management.
- Provide physicians with assistance during surgery or complicated medical procedures.
- Examine patients to obtain information about their physical condition.
What the job is
Provide healthcare services typically performed by a physician, under the supervision of a physician. Conduct complete physicals, provide treatment, and counsel patients. May, in some cases, prescribe medication. Must graduate from an accredited educational program for physician assistants.
Also called: Physician Assistant (PA), Family Practice Physician Assistant, Certified Physician Assistant (PA-C), PA, AAP, PA-C, Surgical PA, Urgent Care PA.
Closest jobs we score by hand
In the same field (Healthcare Practitioners and Technical). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 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. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate