Will AI replace Patient Representatives?
Estimated risk score: 58 out of 100
Moderate 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 (39 to 77).
For the occupation as a whole, from ratings of its 13 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 29-2099.08 · 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: 3 of its 13 rated tasks. In O*NET’s words.
- Develop and distribute newsletters, brochures, or other printed materials to share information with patients or medical staff.
- Read current literature, talk with colleagues, continue education, or participate in professional organizations or conferences to keep abreast of developments in the field.
- Analyze patients' abilities to pay to determine charges on a sliding scale.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 1 of its 13 rated tasks. In O*NET’s words.
- Teach patients to use home health care equipment.
What the job is
Assist patients in obtaining services, understanding policies and making health care decisions.
Also called: Patient Service Representative, Medicaid Service Coordinator (MSC), MSC, PRR, Patient Partner, Clinical Liaison, Patient Care Rep, Patient Navigator.
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