薬局技術者

ヘルスケア

AI露出度

  • データ出典: BLS公表時点: 2026-08

    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

    出典データセット(XLSX ファイルのダウンロード)

  • データ出典: Anthropic公表時点: 2026-03

    0.073

    0.000ここに掲載された値の範囲0.745
    尺度・母数・出典

    観測エクスポージャー指数、公開されたまま0–1

    O*NETタスクへの対応づけが基準

    出典データセット

  • データ出典: ILO公表時点: 2025

    0.30

    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67%です。

    出典データセット

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.

TaskβE1 + 0.5 × E2
Receive written prescription or refill requests and verify that information is complete and accurate.

O*NET Task ID 1939

1.0
Answer telephones, responding to questions or requests.

O*NET Task ID 1941

1.0
Price and file prescriptions that have been filled.

O*NET Task ID 1944

1.0
Compute charges for medication or equipment dispensed to hospital patients and enter data in computer.

O*NET Task ID 1955

1.0
Price stock and mark items for sale.

O*NET Task ID 1957

1.0
Enter prescription information into computer databases.

O*NET Task ID 23924

1.0
Assist customers by answering simple questions, locating items, or referring them to the pharmacist for medication information.

O*NET Task ID 1943

0.5
Establish or maintain patient profiles, including lists of medications taken by individual patients.

O*NET Task ID 1946

0.5
Order, label, and count stock of medications, chemicals, or supplies and enter inventory data into computer.

O*NET Task ID 1947

0.5
Prepare and process medical insurance claim forms and records.

O*NET Task ID 1952

0.5
Maintain proper storage and security conditions for drugs.

O*NET Task ID 1940

0.0
Clean and help maintain equipment or work areas and sterilize glassware, according to prescribed methods.

O*NET Task ID 1945

0.0
Transfer medication from vials to the appropriate number of sterile, disposable syringes, using aseptic techniques.

O*NET Task ID 1949

0.0
Supply and monitor robotic machines that dispense medicine into containers and label the containers.

O*NET Task ID 1951

0.0
Mix pharmaceutical preparations, according to written prescriptions.

O*NET Task ID 1953

0.0
Operate cash registers to accept payment from customers.

O*NET Task ID 1954

0.0
Deliver medications or pharmaceutical supplies to patients, nursing stations, or surgery.

O*NET Task ID 1956

0.0
Maintain and merchandise home healthcare products or services.

O*NET Task ID 1958

0.0
Prepack bulk medicines, fill bottles with prescribed medications, and type and affix labels.

O*NET Task ID 18544

0.0
Restock intravenous (IV) supplies and add measured drugs or nutrients to IV solutions under sterile conditions to prepare IV packs for various uses, such as chemotherapy medication.

O*NET Task ID 18546

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

職業情報