Will AI replace Medical and Clinical Laboratory Technicians?
Estimated risk score: 37 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 (18 to 56).
For the occupation as a whole, from ratings of its 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 29-2012.00 · 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: 2 of its 15 rated tasks. In O*NET’s words.
- Analyze the results of tests or experiments to ensure conformity to specifications, using special mechanical or electrical devices.
- Analyze and record test data to issue reports that use charts, graphs, or narratives.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 8 of its 15 rated tasks; the first 6 are shown. In O*NET’s words.
- Collect blood or tissue samples from patients, observing principles of asepsis to obtain blood sample.
- Prepare standard volumetric solutions or reagents to be combined with samples, following standardized formulas or experimental procedures.
- Set up, maintain, calibrate, clean, and test sterility of medical laboratory equipment.
- Supervise or instruct other technicians or laboratory assistants.
- Obtain specimens, cultivating, isolating, and identifying microorganisms for analysis.
- Conduct blood tests for transfusion purposes and perform blood counts.
What the job is
Perform routine medical laboratory tests for the diagnosis, treatment, and prevention of disease. May work under the supervision of a medical technologist.
Also called: Medical Laboratory Technician (MLT), Medical Laboratory Technicians (Medical Lab Technician), MLT, Blood Typer, Clinical Tech, Specimen Tech, Sleep Technician, Tissue Technician.
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