O*NET-SOC コード
29-1141.04

Direct nursing staff in the provision of patient care in a clinical practice setting, such as a hospital, hospice, clinic, or home. Ensure adherence to established clinical policies, protocols, regulations, and standards.

職業名とタスク記述は、公表された英語のまま表示します。ラベル(タスクの種類を含む)は翻訳しています。

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

    0.059

    0.000ここに掲載された値の範囲0.745

    職業群単位の値

    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

    SOC 2018の職業単位で公表された値で、同じSOC 2018コードを持つO*NET職業はすべてこの値になります

    出典データセット(CSV ファイルのダウンロード)

  • データ出典: ILO公表時点: 2025

    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の細分類(4桁)単位で公表された値です。米国労働統計局(BLS)の公式対応表(ISCO-08→2010 SOC、2010 SOC→2018 SOC)を公表どおり適用してこの職業に結び付けており、対応は全部または一部です

    出典データセット(PDF ファイルのダウンロード)

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。

AI 曝露度(OpenAI ルーブリック)

評価済みタスク 30 件 · β ≥ 0.5 のタスク 25 件(83.3%)

β = 直接的な露出(E1)+ 0.5 × ツール利用時の露出(E2)。原典リポジトリの定義に従います。

  • 原典の単位:O*NET 27.2 のタスク → O*NET 31.0 の職業コード
  • 評価済みタスクはすべて O*NET 31.0 のタスク一覧にあります。
出典
OpenAI "GPTs are GPTs" exposure rubric
版
gh-main-0471612
ライセンス
MIT License, Copyright (c) 2024 OpenAI

タスク

O*NET® 31.0 Database のタスク記述です。コアタスクを先に表示します。

タスク種類β(OpenAI)
Coordinate or conduct educational programs or in-service training sessions on topics such as clinical procedures.コア0
Observe, interview, and assess patients to identify care needs.コア0.5
Evaluate the quality and effectiveness of nursing practice or organizational systems.コア0.5
Provide direct care by performing comprehensive health assessments, developing differential diagnoses, conducting specialized tests, or prescribing medications or treatments.コア0.5
Provide specialized direct and indirect care to inpatients and outpatients within a designated specialty, such as obstetrics, neurology, oncology, or neonatal care.コア0
Maintain departmental policies, procedures, objectives, or infection control standards.コア0.5
Collaborate with other health care professionals and service providers to ensure optimal patient care.コア0
Develop nursing service philosophies, goals, policies, priorities, or procedures.コア0.5
Develop, implement, or evaluate standards of nursing practice in specialty area, such as pediatrics, acute care, and geriatrics.コア0.5
Develop or assist others in development of care and treatment plans.コア0.5
Make clinical recommendations to physicians, other health care providers, insurance companies, patients, or health care organizations.コア0.5
Plan, evaluate, or modify treatment programs, based on information gathered by observing and interviewing patients or by analyzing patient records.コア0.5
Present clients with information required to make informed health care and treatment decisions.コア0.5
Instruct nursing staff in areas such as the assessment, development, implementation, and evaluation of disability, illness, management, technology, or resources.コア0.5
Direct or supervise nursing care staff in the provision of patient therapy.コア0
Identify training needs or conduct training sessions for nursing students or medical staff.コア0.5
Read current literature, talk with colleagues, or participate in professional organizations or conferences to keep abreast of developments in nursing.コア0.5
Monitor or evaluate medical conditions of patients in collaboration with other health care professionals.コア0.5
Participate in clinical research projects, such as by reviewing protocols, reviewing patient records, monitoring compliance, and meeting with regulatory authorities.コア0.5
Perform discharge planning for patients.コア0.5
Prepare reports to document patients' care activities.コア1
Write nursing orders.コア1
Provide consultation to other health care providers in areas such as patient discharge, patient care, or clinical procedures.コア0.5
Develop and maintain departmental policies, procedures, objectives, or patient care standards, based on evidence-based practice guidelines or expert opinion.コア0.5
Design evaluation programs regarding the quality and effectiveness of nursing practice or organizational systems.コア0.5
Design patient education programs that include information required to make informed health care and treatment decisions.コア0.5
Lead nursing department implementation of, or compliance with, regulatory or accreditation processes.コア0.5
Chair nursing departments or committees.コア0.5
Teach patient education programs that include information required to make informed health care and treatment decisions.コア0.5
Provide coaching and mentoring to other caregivers to help facilitate their professional growth and development.コア0

職業情報

出典と帰属表示

This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.

Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.

O*NET OnLine: 29-1141.04 Clinical Nurse Specialists

KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.

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