Will AI replace Phlebotomists?
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 24 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 31-9097.00 · 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: 3 of its 24 rated tasks. In O*NET’s words.
- Document route of specimens from collection to laboratory analysis and diagnosis.
- Enter patient, specimen, insurance, or billing information into computer.
- Explain fluid or tissue collection procedures to patients.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 19 of its 24 rated tasks; the first 6 are shown. In O*NET’s words.
- Collect fluid or tissue samples, using appropriate collection procedures.
- Collect specimens at specific time intervals for tests, such as those assessing therapeutic drug levels.
- Conduct hemoglobin tests to ensure donor iron levels are normal.
- Conduct standards tests, such as blood alcohol, blood culture, oral glucose tolerance, glucose screening, blood smears, or peak and trough drug levels tests.
- Dispose of blood or other biohazard fluids or tissue, in accordance with applicable laws, standards, or policies.
- Dispose of contaminated sharps, in accordance with applicable laws, standards, and policies.
What the job is
Draw blood for tests, transfusions, donations, or research. May explain the procedure to patients and assist in the recovery of patients with adverse reactions.
Also called: Mobile Examiner, Phlebotomy Technician, Lab Liaison Technician, PST, Venipuncturist, Mobile Phlebotomist, Travel Phlebotomist, Clinical Phlebotomist.
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