抽血师

医疗保健

AI暴露度

  • 数据来源: BLS发布时间: 2026-08

    低· 相对

    低四级相对区间很高

    职业群单位数值

    尺度 · 母数 · 来源

    四级相对类别(低 / 中等 / 高 / 很高)

    以BLS就业预测表中831个细分职业为基数。取值按 NEM(全国就业矩阵)代码给定,因此共用同一 NEM 代码的职业得到相同分档

    来源数据集(XLSX 文件下载)

  • 数据来源: Anthropic发布时间: 2026-03

    0.000

    0.000此处所载数值的范围0.745
    尺度 · 母数 · 来源

    观测暴露度指数,按发布原值0–1

    以O*NET任务映射为基准

    来源数据集

  • 数据来源: ILO发布时间: 2025

    0.15

    0.09此处所载数值的范围0.70

    职业群单位数值

    尺度 · 母数 · 来源

    生成式AI暴露度指数,按发布原值0–1

    ISCO-08职业小类单位 — 共用同一代码的职业取值相同

    本站计算,并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中,达到或高于此值的占 92%。

    来源数据集

该来源发布的是什么性质的数值

BLS的类别是相对排位而非绝对水平,也不是一手测量:它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测,不是采用概率,也不区分自动化与增强。

Task-level exposure

仅显示有暴露的工作

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.

TaskβE1 + 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

职业信息