临床实验室科学家

医疗保健

美国 · BLS 就业预测 2025–35：该 SOC 代码不在公布项目之列。

AI暴露度

  • 数据来源: ILO发布时间: 2025

    0.31

    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 65%。

    来源数据集

  • 数据来源: OpenAI发布时间: 2023

    0.232

    0.000此处所载数值的范围0.844
    尺度 · 母数 · 来源

    人工评分β，按发布原值0–1

    以O*NET任务映射为基准

    来源数据集

Task-level exposure

显示隐藏的 10 项工作

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
Enter data from analysis of medical tests or clinical results into computer for storage.

O*NET Task ID 1889

1.0
Analyze laboratory findings to check the accuracy of the results.

O*NET Task ID 1886

0.5
Provide technical information about test results to physicians, family members, or researchers.

O*NET Task ID 1893

0.5
Develop, standardize, evaluate, or modify procedures, techniques, or tests used in the analysis of specimens or in medical laboratory experiments.

O*NET Task ID 1895

0.5
Conduct medical research under direction of microbiologist or biochemist.

O*NET Task ID 1900

0.5
Establish or monitor quality assurance programs or activities to ensure the accuracy of laboratory results.

O*NET Task ID 15232

0.5

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