医疗记录专家

医疗保健

AI暴露度

  • 数据来源: BLS发布时间: '26.08

    很高· 相对

    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: '26.03

    0.667

    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: '25

    0.52

    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 15%。

    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

显示隐藏的 7 项工作
TaskClaude.aiRaw / share %
Review records for completeness, accuracy, and compliance with regulations.

29-2071

0.022423.3
Plan, develop, maintain, or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information.

29-2071

0.015816.4
Compile and maintain patients' medical records to document condition and treatment and to provide data for research or cost control and care improvement efforts.

29-2071

0.00899.2
Identify, compile, abstract, and code patient data, using standard classification systems.

29-2071

0.00869.0
Prepare statistical reports, narrative reports, or graphic presentations of information, such as tumor registry data for use by hospital staff, researchers, or other users.

29-2071

0.00778.0
Develop in-service educational materials.

29-2071

0.00666.9
Transcribe medical reports.

29-2071

0.00636.5
Resolve or clarify codes or diagnoses with conflicting, missing, or unclear information by consulting with doctors or others or by participating in the coding team's regular meetings.

29-2071

0.00464.7
Consult classification manuals to locate information about disease processes.

29-2071

0.00404.2
Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds.

29-2071

0.00383.9

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

Occupation information

与本职业相关的近期变化

2026年4月: ATE 0.36 by 2026 in SF Bay Tier 1 — the earliest crossover within healthcare support category. By 2030, 57.9% of healthcare support occupations in Tier 1 cross moderate-risk threshold.

[来源: arXiv 2604.00186 (Gupta & Kumar, 2026)]

2026年3月: Published blog post: highest-risk healthcare support role. Automation risk 62%, medical coding 70% automated.

[来源: AI Changing Work Blog]