Medical and Clinical Laboratory Technicians
Healthcare Practitioners and Technical Occupations- O*NET-SOC コード
- 29-2012.00
Perform routine medical laboratory tests for the diagnosis, treatment, and prevention of disease. May work under the supervision of a medical technologist.
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: ILO公表時点: 2025
0.31
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
- データ出典: OpenAI公表時点: 2023
0.095
0.000ここに掲載された値の範囲0.844尺度・母数・出典
AI 曝露度（OpenAI ルーブリック）
評価済みタスク 15 件 · β ≥ 0.5 のタスク 7 件（46.7%）
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
- 評価済みタスクのうち 2 件は O*NET 31.0 のタスク一覧になく、O*NET 27.2 基準で公表されたスコアをそのまま残しています。
- 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） |
|---|---|---|
| Conduct chemical analyses of body fluids, such as blood or urine, using microscope or automatic analyzer to detect abnormalities or diseases and enter findings into computer. | コア | 0.5 |
| Analyze the results of tests or experiments to ensure conformity to specifications, using special mechanical or electrical devices. | コア | 0.5 |
| Conduct blood tests for transfusion purposes and perform blood counts. | コア | 0 |
| Examine cells stained with dye to locate abnormalities. | コア | 0.5 |
| Consult with a pathologist to determine a final diagnosis when abnormal cells are found. | コア | 0.5 |
| Supervise or instruct other technicians or laboratory assistants. | コア | 0 |
| Prepare standard volumetric solutions or reagents to be combined with samples, following standardized formulas or experimental procedures. | コア | 0 |
| Set up, maintain, calibrate, clean, and test sterility of medical laboratory equipment. | コア | 0 |
| Perform quality control analyses to ensure accuracy of test results. | コア | 未評価 |
| Analyze and record test data to issue reports that use charts, graphs, or narratives. | 補足 | 0.5 |
| Obtain specimens, cultivating, isolating, and identifying microorganisms for analysis. | 補足 | 0 |
| Collect blood or tissue samples from patients, observing principles of asepsis to obtain blood sample. | 補足 | 0 |
| Inoculate fertilized eggs, broths, or other bacteriological media with organisms. | 補足 | 0 |
| Test raw materials, processes, or finished products to determine quality or quantity of materials or characteristics of a substance. | 補足 | 0.5 |
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: 29-2012.00 Medical and Clinical Laboratory Technicians
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.