看護師
ヘルスケアAI露出度
- データ出典: BLS公表時点: '26.08
高い· 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: '26.03
0.059
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: '25
0.25
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77%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
非表示の作業 10 件を表示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 |
|---|---|
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 |
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
この職業に関わる最近の変化
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.
[出典: 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.
[出典: 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.
[出典: OpenAI Jobs Transition Framework, April 2026]