採血技師
ヘルスケアAI露出度
- データ出典: BLS公表時点: 2026-08
低い· 相対
低い4段階の相対区分非常に高い職業群単位の値
尺度・母数・出典
4段階の相対区分（低い / 中程度 / 高い / 非常に高い）
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
- データ出典: Anthropic公表時点: 2026-03
0.000
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: 2025
0.15
0.09ここに掲載された値の範囲0.70職業群単位の値
尺度・母数・出典
生成AI露出度指数、公開されたまま0–1
ISCO-08の職業小分類単位 — 同じコードの職業はすべて同じ値
当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは92%です。
この出典がどのような性格の値か
BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。
Task-level exposure
露出のある作業のみValues in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Document route of specimens from collection to laboratory analysis and diagnosis.O*NET Task ID 19376 | 1.0 |
Explain fluid or tissue collection procedures to patients.O*NET Task ID 19380 | 1.0 |
Enter patient, specimen, insurance, or billing information into computer.O*NET Task ID 19389 | 1.0 |
Determine donor suitability, according to interview results, vital signs, and medical history.O*NET Task ID 19388 | 0.5 |
Provide sample analysis results to physicians to assist diagnosis.O*NET Task ID 19393 | 0.5 |
Collect fluid or tissue samples, using appropriate collection procedures.O*NET Task ID 19373 | 0.0 |
Dispose of blood or other biohazard fluids or tissue, in accordance with applicable laws, standards, or policies.O*NET Task ID 19374 | 0.0 |
Dispose of contaminated sharps, in accordance with applicable laws, standards, and policies.O*NET Task ID 19375 | 0.0 |
Draw blood from arteries, using arterial collection techniques.O*NET Task ID 19377 | 0.0 |
Draw blood from capillaries by dermal puncture, such as heel or finger stick methods.O*NET Task ID 19378 | 0.0 |
Draw blood from veins by vacuum tube, syringe, or butterfly venipuncture methods.O*NET Task ID 19379 | 0.0 |
Match laboratory requisition forms to specimen tubes.O*NET Task ID 19381 | 0.0 |
Organize or clean blood-drawing trays, ensuring that all instruments are sterile and all needles, syringes, or related items are of first-time use.O*NET Task ID 19382 | 0.0 |
Administer subcutaneous or intramuscular injects, in accordance with licensing restrictions.O*NET Task ID 19383 | 0.0 |
Calibrate or maintain machines, such as those used for plasma collection.O*NET Task ID 19384 | 0.0 |
Collect specimens at specific time intervals for tests, such as those assessing therapeutic drug levels.O*NET Task ID 19385 | 0.0 |
Conduct hemoglobin tests to ensure donor iron levels are normal.O*NET Task ID 19386 | 0.0 |
Conduct standards tests, such as blood alcohol, blood culture, oral glucose tolerance, glucose screening, blood smears, or peak and trough drug levels tests.O*NET Task ID 19387 | 0.0 |
Monitor blood or plasma donors during and after procedures to ensure health, safety, and comfort.O*NET Task ID 19390 | 0.0 |
Perform saline flushes or dispense anticoagulant drugs, such as Heparin, through intravenous (IV) lines, in accordance with licensing restrictions and under the direction of a medical doctor.O*NET Task ID 19391 | 0.0 |
Process blood or other fluid samples for further analysis by other medical professionals.O*NET Task ID 19392 | 0.0 |
Serve refreshments to donors to ensure absorption of sugar into their systems.O*NET Task ID 19394 | 0.0 |
Train other medical personnel in phlebotomy or laboratory techniques.O*NET Task ID 19395 | 0.0 |
Transport specimens or fluid samples from collection sites to laboratories.O*NET Task ID 19396 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page