注册护士

医疗保健

AI暴露度

  • 数据来源: BLS发布时间: '26.08

    高· 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: '26.03

    0.059

    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

    0.25

    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 77%。

    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
Maintain accurate, detailed reports and records.

O*NET Task ID 1839

1.0
Monitor, record, and report symptoms or changes in patients' conditions.

O*NET Task ID 1840

0.5
Record patients' medical information and vital signs.

O*NET Task ID 1841

0.5
Modify patient treatment plans as indicated by patients' responses and conditions.

O*NET Task ID 1842

0.5
Consult and coordinate with healthcare team members to assess, plan, implement, or evaluate patient care plans.

O*NET Task ID 1843

0.5
Order, interpret, and evaluate diagnostic tests to identify and assess patient's condition.

O*NET Task ID 1844

0.5
Monitor all aspects of patient care, including diet and physical activity.

O*NET Task ID 1845

0.5
Assess the needs of individuals, families, or communities, including assessment of individuals' home or work environments, to identify potential health or safety problems.

O*NET Task ID 1849

0.5
Instruct individuals, families, or other groups on topics such as health education, disease prevention, or childbirth and develop health improvement programs.

O*NET Task ID 1850

0.5
Prescribe or recommend drugs, medical devices, or other forms of treatment, such as physical therapy, inhalation therapy, or related therapeutic procedures.

O*NET Task ID 1859

0.5
Direct or supervise less-skilled nursing or healthcare personnel or supervise a particular unit.

O*NET Task ID 1846

0.0
Prepare patients for and assist with examinations or treatments.

O*NET Task ID 1847

0.0
Observe nurses and visit patients to ensure proper nursing care.

O*NET Task ID 1848

0.0
Prepare rooms, sterile instruments, equipment, or supplies and ensure that stock of supplies is maintained.

O*NET Task ID 1851

0.0
Inform physician of patient's condition during anesthesia.

O*NET Task ID 1852

0.0
Administer local, inhalation, intravenous, or other anesthetics.

O*NET Task ID 1854

0.0
Provide health care, first aid, immunizations, or assistance in convalescence or rehabilitation in locations such as schools, hospitals, or industry.

O*NET Task ID 1855

0.0
Perform physical examinations, make tentative diagnoses, and treat patients en route to hospitals or at disaster site triage centers.

O*NET Task ID 1856

0.0
Conduct specified laboratory tests.

O*NET Task ID 1857

0.0
Administer medications to patients and monitor patients for reactions or side effects.

O*NET Task ID 20413

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

Occupation information

与本职业相关的近期变化

2026年4月: Healthcare posted record Q1 high at 23,520 cuts. AI diagnostic tools, automated admin workflows, and scheduling AI changing the equation. AI was #1 March cut reason overall.

[来源: Challenger March 2026]

2026年4月: OpenAI workplace report (Apr 2026): Healthcare ranks among the lowest-adoption industries due to patient-data and HIPAA constraints, not because clinicians wouldn't benefit. Documentation assistance is the leading edge; direct clinical-workflow integration remains blocked.

[来源: OpenAI — ChatGPT Usage and Adoption Patterns at Work (April 2026)]

2026年4月: Registered nurses flagged as insulated; physical and relational necessity (bedside care, calming patients) sits outside what AI can substitute.

[来源: OpenAI Jobs Transition Framework, April 2026]