# Phlebotomists

> Draw blood for tests, transfusions, donations, or research. May explain the procedure to patients and assist in the recovery of patients with adverse reactions.

- **SOC code:** 31-9097.00
- **Canonical URL:** https://singulariki.com/roles/role-31-9097-00
- **Also known as:** Lab Liaison Technician, Mobile Examiner, Phlebotomist, Phlebotomy Technician, Patient Service Technician (PST), Registered Phlebotomist, Certified Phlebotomist, Certified Phlebotomy Technician
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Dispose of contaminated sharps, in accordance with applicable laws, standards, and policies.
- Organize or clean blood-drawing trays, ensuring that all instruments are sterile and all needles, syringes, or related items are of first-time use.
- Draw blood from veins by vacuum tube, syringe, or butterfly venipuncture methods.
- Match laboratory requisition forms to specimen tubes.
- Dispose of blood or other biohazard fluids or tissue, in accordance with applicable laws, standards, or policies.
- Conduct standards tests, such as blood alcohol, blood culture, oral glucose tolerance, glucose screening, blood smears, or peak and trough drug levels tests.
- Collect specimens at specific time intervals for tests, such as those assessing therapeutic drug levels.
- Process blood or other fluid samples for further analysis by other medical professionals.
- Provide sample analysis results to physicians to assist diagnosis.
- Administer subcutaneous or intramuscular injects, in accordance with licensing restrictions.
- Enter patient, specimen, insurance, or billing information into computer.
- Document route of specimens from collection to laboratory analysis and diagnosis.

**Emerging tasks** (O*NET):
- Confirm the identities of patients by verifying their personal information.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Near Vision _(ability)_
- English Language _(knowledge)_
- Arm-Hand Steadiness _(ability)_
- Service Orientation _(transferable_skill)_
- Problem Sensitivity _(ability)_
- Social Perceptiveness _(transferable_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Administrative _(knowledge)_
- Education and Training _(knowledge)_

**Skills in demand:**
- English Language _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Finger Dexterity _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Psychology _(Specialized Skill)_
- Writing _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Inductive Reasoning _(Common Skill)_

**Tools & technology:**
- Microsoft Office software _(hot technology, in demand)_
- JavaScript _(hot technology)_
- MEDITECH software _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft Word _(hot technology)_
- Donor management system software
- Electronic medical record EMR software
- Iatric Systems MobiLab
- Laboratory information system LIS
- Medical procedure coding software
- MEDITECH Blood Bank

## AI exposure & outlook

- **AI task-overlap index:** 22nd percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 41st percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 27th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 3rd percentile (Low) — source: microsoft_applicability.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 5.6% growth (About average); 18.4k annual openings; 139.7k → 147.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $43,660; 138,880 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-31-9097-00_