薬剤師
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
0.090
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
0.33
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63%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
露出のある作業のみ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 |
|---|---|
Teach pharmacy students serving as interns in preparation for their graduation or licensure.O*NET Task ID 1825 | 1.0 |
Publish educational information for other pharmacists, doctors, or patients.O*NET Task ID 1826 | 1.0 |
Update or troubleshoot pharmacy information databases.O*NET Task ID 20406 | 1.0 |
Review prescriptions to assure accuracy, to ascertain the needed ingredients, and to evaluate their suitability.O*NET Task ID 1808 | 0.5 |
Provide information and advice regarding drug interactions, side effects, dosage, and proper medication storage.O*NET Task ID 1809 | 0.5 |
Analyze prescribing trends to monitor patient compliance and to prevent excessive usage or harmful interactions.O*NET Task ID 1810 | 0.5 |
Order and purchase pharmaceutical supplies, medical supplies, or drugs, maintaining stock and storing and handling it properly.O*NET Task ID 1811 | 0.5 |
Maintain records, such as pharmacy files, patient profiles, charge system files, inventories, control records for radioactive nuclei, or registries of poisons, narcotics, or controlled drugs.O*NET Task ID 1812 | 0.5 |
Provide specialized services to help patients manage conditions, such as diabetes, asthma, smoking cessation, or high blood pressure.O*NET Task ID 1813 | 0.5 |
Advise customers on the selection of medication brands, medical equipment, or healthcare supplies.O*NET Task ID 1814 | 0.5 |
Compound and dispense medications as prescribed by doctors and dentists, by calculating, weighing, measuring, and mixing ingredients, or oversee these activities.O*NET Task ID 1816 | 0.0 |
Prepare sterile solutions or infusions for use in surgical procedures, emergency rooms, or patients' homes.O*NET Task ID 1819 | 0.0 |
Plan, implement, or maintain procedures for mixing, packaging, or labeling pharmaceuticals, according to policy and legal requirements, to ensure quality, security, and proper disposal.O*NET Task ID 1820 | 0.0 |
Assay radiopharmaceuticals, verify rates of disintegration, and calculate the volume required to produce the desired results, to ensure proper dosages.O*NET Task ID 1821 | 0.0 |
Assess the identity, strength, or purity of medications.O*NET Task ID 1824 | 0.0 |
Offer health promotion or prevention activities, such as training people to use blood pressure devices or diabetes monitors.O*NET Task ID 20404 | 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