Will AI replace Endoscopy Technicians?
Estimated risk score: 19 out of 100
Very low 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 (0 to 38).
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 31-9099.02 · Healthcare Support
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.
- Attend in-service training to validate or refresh basic professional skills.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 10 of its 12 rated tasks; the first 6 are shown. In O*NET’s words.
- Assist physicians or registered nurses in the conduct of endoscopic procedures.
- Clean, disinfect, or calibrate scopes or other endoscopic instruments according to manufacturer recommendations and facility standards.
- Collect specimens from patients, using standard medical procedures.
- Maintain or repair endoscopic equipment.
- Place devices, such as blood pressure cuffs, pulse oximeter sensors, nasal cannulas, surgical cautery pads, and cardiac monitoring electrodes, on patients to monitor vital signs.
- Position or transport patients in accordance with instructions from medical personnel.
What the job is
Maintain a sterile field to provide support for physicians and nurses during endoscopy procedures. Prepare and maintain instruments and equipment. May obtain specimens.
Also called: Endoscopy Technician (Endoscopy Tech), GI Tech (Gastrointestinal Technician), Certified Flexible Endoscope Reprocessor (CFER), Certified Endo Tech (Certified Endoscopy Technician), CER, CFER, GI RN, Endo RN.
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