Clinical Research Coordinators
Management Occupations- رمز O*NET-SOC
- 11-9121.01
Plan, direct, or coordinate clinical research projects. Direct the activities of workers engaged in clinical research projects to ensure compliance with protocols and overall clinical objectives. May evaluate and analyze clinical data.
تُعرض أسماء المهن وأوصاف المهام بالإنجليزية كما نُشرت. أما التسميات، ومنها أنواع المهام، فمترجمة.
التعرّض للذكاء الاصطناعي
- مصدر البيانات: BLSتاريخ النشر: 2026-08
مرتفع· نسبي
منخفضأربع فئات نسبيةمرتفع جدًاقيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
أربع فئات نسبية (منخفض / متوسط / مرتفع / مرتفع جدًا)
831 مهنة تفصيلية في جدول توقعات التوظيف لدى BLS. وتُسند القيمة على مستوى رمز مصفوفة التوظيف الوطنية (NEM)، فالمهن التي تشترك في الرمز نفسه تأخذ النطاق نفسه
- مصدر البيانات: Anthropicتاريخ النشر: 2026-03
0.061
0.000نطاق القيم المعروضة هنا0.745قيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
مؤشر التعرّض المرصود، 0–1 كما نُشر
مربوط بمهام O*NET
منشورة لكل مهنة في SOC 2018؛ وكل مهنة في O*NET تحمل رمز SOC 2018 نفسه تأخذ هذه القيمة
- مصدر البيانات: ILOتاريخ النشر: 2025
0.40
0.09نطاق القيم المعروضة هنا0.70قيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
مؤشر التعرّض للذكاء الاصطناعي التوليدي، 0–1 كما نُشر
قيمة منشورة على مستوى مجموعة الوحدة في ISCO-08. رُبطت بهذه المهنة بتطبيق جداول التناظر الرسمية لمكتب إحصاءات العمل الأمريكي (BLS) (من ISCO-08 إلى SOC 2010، ومن SOC 2010 إلى SOC 2018) كما نُشرت، والتناظر كلي أو جزئي
ما نوع القيمة التي ينشرها هذا المصدر
فئة BLS رتبة نسبية لا مستوى مطلق، وليست قياسًا مباشرًا: فهي تجمع الرتب المئينية للمهنة في عدة دراسات منشورة في أربع فئات. وهي ليست توقّعًا للتوظيف أو الأجور، ولا احتمالًا للتبني، ولا تفرّق بين الأتمتة والتعزيز.
التعرض للذكاء الاصطناعي (معيار OpenAI)
33 مهمة مقيَّمة · 30 مهمة بقيمة β ≥ 0.5 (90.9%)
β = التعرّض المباشر (E1) + 0.5 × التعرّض عند توفر الأدوات (E2)، وفق تعريف المستودع المصدري.
- وحدة المصدر: مهام O*NET 27.2 ← رمز المهنة في O*NET 31.0
- جميع المهام المقيَّمة موجودة في قائمة مهام O*NET 31.0.
- المصدر
- OpenAI "GPTs are GPTs" exposure rubric
- الإصدار
- gh-main-0471612
- الترخيص
- MIT License, Copyright (c) 2024 OpenAI
المهام
أوصاف المهام من O*NET® 31.0 Database، والمهام الأساسية أولًا.
| المهمة | النوع | β (OpenAI) |
|---|---|---|
| Review scientific literature, participate in continuing education activities, or attend conferences and seminars to maintain current knowledge of clinical studies affairs and issues. | أساسية | 0.5 |
| Prepare for or participate in quality assurance audits conducted by study sponsors, federal agencies, or specially designated review groups. | أساسية | 0.5 |
| Perform specific protocol procedures such as interviewing subjects, taking vital signs, and performing electrocardiograms. | أساسية | 0 |
| Develop advertising and other informational materials to be used in subject recruitment. | أساسية | 1 |
| Confer with health care professionals to determine the best recruitment practices for studies. | أساسية | 0.5 |
| Track enrollment status of subjects and document dropout information such as dropout causes and subject contact efforts. | أساسية | 0.5 |
| Review proposed study protocols to evaluate factors such as sample collection processes, data management plans, or potential subject risks. | أساسية | 0.5 |
| Record adverse event and side effect data and confer with investigators regarding the reporting of events to oversight agencies. | أساسية | 0.5 |
| Prepare study-related documentation, such as protocol worksheets, procedural manuals, adverse event reports, institutional review board documents, or progress reports. | أساسية | 1 |
| Participate in the development of study protocols including guidelines for administration or data collection procedures. | أساسية | 0.5 |
| Oversee subject enrollment to ensure that informed consent is properly obtained and documented. | أساسية | 0.5 |
| Order drugs or devices necessary for study completion. | أساسية | 0.5 |
| Organize space for study equipment and supplies. | أساسية | 0 |
| Maintain contact with sponsors to schedule and coordinate site visits or to answer questions about issues such as incomplete data. | أساسية | 1 |
| Instruct research staff in scientific and procedural aspects of studies including standards of care, informed consent procedures, or documentation procedures. | أساسية | 0.5 |
| Inform patients or caregivers about study aspects and outcomes to be expected. | أساسية | 0.5 |
| Identify protocol problems, inform investigators of problems, or assist in problem resolution efforts, such as protocol revisions. | أساسية | 0.5 |
| Direct the requisition, collection, labeling, storage, or shipment of specimens. | أساسية | 0 |
| Contact outside health care providers and communicate with subjects to obtain follow-up information. | أساسية | 0.5 |
| Communicate with laboratories or investigators regarding laboratory findings. | أساسية | 0.5 |
| Collaborate with investigators to prepare presentations or reports of clinical study procedures, results, and conclusions. | أساسية | 0.5 |
| Code, evaluate, or interpret collected study data. | أساسية | 1 |
| Assess eligibility of potential subjects through methods such as screening interviews, reviews of medical records, or discussions with physicians and nurses. | أساسية | 0.5 |
| Schedule subjects for appointments, procedures, or inpatient stays as required by study protocols. | أساسية | 0.5 |
| Monitor study activities to ensure compliance with protocols and with all relevant local, federal, and state regulatory and institutional polices. | أساسية | 0.5 |
| Maintain required records of study activity including case report forms, drug dispensation records, or regulatory forms. | أساسية | 0.5 |
| Solicit industry-sponsored trials through contacts and professional organizations. | تكميلية | 0.5 |
| Register protocol patients with appropriate statistical centers as required. | تكميلية | 1 |
| Participate in preparation and management of research budgets and monetary disbursements. | تكميلية | 0.5 |
| Interpret protocols and advise treating physicians on appropriate dosage modifications or treatment calculations based on patient characteristics. | تكميلية | 0.5 |
| Contact industry representatives to ensure equipment and software specifications necessary for successful study completion. | تكميلية | 0.5 |
| Dispense medical devices or drugs, and calculate dosages and provide instructions as necessary. | تكميلية | 0.5 |
| Arrange for research study sites and determine staff or equipment availability. | تكميلية | 0.5 |
معلومات مهنية
المصادر والإسناد
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: 11-9121.01 Clinical Research Coordinators
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.