Clinical Nurse Specialists
Healthcare Practitioners and Technical Occupations- O*NET-SOC-Code
- 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.
Berufsbezeichnungen und Aufgabenbeschreibungen werden wie veröffentlicht auf Englisch angezeigt. Beschriftungen, einschließlich der Aufgabenarten, sind übersetzt.
KI-Exposition
- Datenquelle: BLSVeröffentlicht: 2026-08
Hoch· relativ
NiedrigVier relative BänderSehr hochWert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Vier relative Bänder (Niedrig / Mittel / Hoch / Sehr hoch)
831 detaillierte Berufe in der BLS-Beschäftigungsprojektionstabelle. Der Wert wird je Code der National Employment Matrix (NEM) vergeben, daher erhalten Berufe mit demselben NEM-Code dasselbe Band
- Datenquelle: AnthropicVeröffentlicht: 2026-03
0.059
0.000Spannweite der hier geführten Werte0.745Wert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Index der beobachteten Exposition, 0–1 wie veröffentlicht
Auf O*NET-Aufgaben abgebildet
Veröffentlicht je SOC-2018-Beruf; jeder O*NET-Beruf mit demselben SOC-2018-Code erhält diesen Wert
- Datenquelle: ILOVeröffentlicht: 2025
0.25
0.09Spannweite der hier geführten Werte0.70Wert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Index der Exposition gegenüber generativer KI, 0–1 wie veröffentlicht
Veröffentlicht je ISCO-08-Berufsgattung. Mit diesem Beruf ganz oder teilweise verknüpft durch Anwendung der Umsteigeschlüssel des U.S. Bureau of Labor Statistics (ISCO-08 zu SOC 2010, SOC 2010 zu SOC 2018) in veröffentlichter Form
Welche Art von Wert diese Quelle veröffentlicht
Die Kategorie von BLS ist ein relativer Rang und kein absolutes Niveau, und sie ist keine eigene Messung: Sie fasst die Perzentilränge des Berufs aus mehreren veröffentlichten Studien in vier Bänder zusammen. Sie ist weder eine Beschäftigungs- oder Lohnprognose noch eine Einführungswahrscheinlichkeit und unterscheidet nicht zwischen Automatisierung und Augmentierung.
KI-Exposition (OpenAI-Rubrik)
30 bewertete Aufgaben · 25 Aufgaben mit β ≥ 0,5 (83.3%)
β = direkte Exposition (E1) + 0,5 × Exposition bei verfügbaren Werkzeugen (E2), gemäß der Definition des Quell-Repositorys.
- Quelleinheit: Aufgaben aus O*NET 27.2 → Berufscode aus O*NET 31.0
- Alle bewerteten Aufgaben stehen in der Aufgabenliste von O*NET 31.0.
- Quelle
- OpenAI "GPTs are GPTs" exposure rubric
- Ausgabe
- gh-main-0471612
- Lizenz
- MIT License, Copyright (c) 2024 OpenAI
Aufgaben
Aufgabenbeschreibungen aus der O*NET® 31.0 Database, Kernaufgaben zuerst.
| Aufgabe | Art | β (OpenAI) |
|---|---|---|
| Coordinate or conduct educational programs or in-service training sessions on topics such as clinical procedures. | Kern | 0 |
| Observe, interview, and assess patients to identify care needs. | Kern | 0,5 |
| Evaluate the quality and effectiveness of nursing practice or organizational systems. | Kern | 0,5 |
| Provide direct care by performing comprehensive health assessments, developing differential diagnoses, conducting specialized tests, or prescribing medications or treatments. | Kern | 0,5 |
| Provide specialized direct and indirect care to inpatients and outpatients within a designated specialty, such as obstetrics, neurology, oncology, or neonatal care. | Kern | 0 |
| Maintain departmental policies, procedures, objectives, or infection control standards. | Kern | 0,5 |
| Collaborate with other health care professionals and service providers to ensure optimal patient care. | Kern | 0 |
| Develop nursing service philosophies, goals, policies, priorities, or procedures. | Kern | 0,5 |
| Develop, implement, or evaluate standards of nursing practice in specialty area, such as pediatrics, acute care, and geriatrics. | Kern | 0,5 |
| Develop or assist others in development of care and treatment plans. | Kern | 0,5 |
| Make clinical recommendations to physicians, other health care providers, insurance companies, patients, or health care organizations. | Kern | 0,5 |
| Plan, evaluate, or modify treatment programs, based on information gathered by observing and interviewing patients or by analyzing patient records. | Kern | 0,5 |
| Present clients with information required to make informed health care and treatment decisions. | Kern | 0,5 |
| Instruct nursing staff in areas such as the assessment, development, implementation, and evaluation of disability, illness, management, technology, or resources. | Kern | 0,5 |
| Direct or supervise nursing care staff in the provision of patient therapy. | Kern | 0 |
| Identify training needs or conduct training sessions for nursing students or medical staff. | Kern | 0,5 |
| Read current literature, talk with colleagues, or participate in professional organizations or conferences to keep abreast of developments in nursing. | Kern | 0,5 |
| Monitor or evaluate medical conditions of patients in collaboration with other health care professionals. | Kern | 0,5 |
| Participate in clinical research projects, such as by reviewing protocols, reviewing patient records, monitoring compliance, and meeting with regulatory authorities. | Kern | 0,5 |
| Perform discharge planning for patients. | Kern | 0,5 |
| Prepare reports to document patients' care activities. | Kern | 1 |
| Write nursing orders. | Kern | 1 |
| Provide consultation to other health care providers in areas such as patient discharge, patient care, or clinical procedures. | Kern | 0,5 |
| Develop and maintain departmental policies, procedures, objectives, or patient care standards, based on evidence-based practice guidelines or expert opinion. | Kern | 0,5 |
| Design evaluation programs regarding the quality and effectiveness of nursing practice or organizational systems. | Kern | 0,5 |
| Design patient education programs that include information required to make informed health care and treatment decisions. | Kern | 0,5 |
| Lead nursing department implementation of, or compliance with, regulatory or accreditation processes. | Kern | 0,5 |
| Chair nursing departments or committees. | Kern | 0,5 |
| Teach patient education programs that include information required to make informed health care and treatment decisions. | Kern | 0,5 |
| Provide coaching and mentoring to other caregivers to help facilitate their professional growth and development. | Kern | 0 |
Berufsinformationen
Quellen und Namensnennung
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.