麻醉护士
医疗保健AI暴露度
- 数据来源: BLS发布时间: 2026-08
低· 相对
低四级相对区间很高职业群单位数值
尺度 · 母数 · 来源
四级相对类别（低 / 中等 / 高 / 很高）
以BLS就业预测表中831个细分职业为基数。取值按 NEM（全国就业矩阵）代码给定，因此共用同一 NEM 代码的职业得到相同分档
- 数据来源: Anthropic发布时间: 2026-03
0.000
0.000此处所载数值的范围0.745尺度 · 母数 · 来源
- 数据来源: ILO发布时间: 2025
0.25
0.09此处所载数值的范围0.70职业群单位数值
尺度 · 母数 · 来源
生成式AI暴露度指数，按发布原值0–1
ISCO-08职业小类单位 — 共用同一代码的职业取值相同
本站计算，并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中，达到或高于此值的占 77%。
该来源发布的是什么性质的数值
BLS的类别是相对排位而非绝对水平，也不是一手测量：它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测，不是采用概率，也不区分自动化与增强。
Task-level exposure
仅显示有暴露的工作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.
| Task | βE1 + 0.5 × E2 |
|---|---|
Perform pre-anesthetic screenings, including physical evaluations and patient interviews, and document results.O*NET Task ID 18356 | 0.5 |
Select and prescribe post-anesthesia medications or treatments to patients.O*NET Task ID 18357 | 0.5 |
Select, order, or administer pre-anesthetic medications.O*NET Task ID 18358 | 0.5 |
Perform or evaluate the results of diagnostic tests, such as radiographs (x-rays) and electrocardiograms (EKGs).O*NET Task ID 18360 | 0.5 |
Assess patients' medical histories to predict anesthesia response.O*NET Task ID 18367 | 0.5 |
Develop anesthesia care plans.O*NET Task ID 18368 | 0.5 |
Instruct nurses, residents, interns, students, or other staff on topics such as anesthetic techniques, pain management and emergency responses.O*NET Task ID 18375 | 0.5 |
Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in nursing.O*NET Task ID 18376 | 0.5 |
Administer post-anesthesia medications or fluids to support patients' cardiovascular systems.O*NET Task ID 18354 | 0.0 |
Evaluate patients' post-surgical or post-anesthesia responses, taking appropriate corrective actions or requesting consultation if complications occur.O*NET Task ID 18355 | 0.0 |
Discharge patients from post-anesthesia care.O*NET Task ID 18359 | 0.0 |
Manage patients' airway or pulmonary status, using techniques such as endotracheal intubation, mechanical ventilation, pharmacological support, respiratory therapy, and extubation.O*NET Task ID 18361 | 0.0 |
Monitor patients' responses, including skin color, pupil dilation, pulse, heart rate, blood pressure, respiration, ventilation, or urine output, using invasive and noninvasive techniques.O*NET Task ID 18362 | 0.0 |
Perform or manage regional anesthetic techniques, such as local, spinal, epidural, caudal, nerve blocks and intravenous blocks.O*NET Task ID 18363 | 0.0 |
Prepare prescribed solutions and administer local, intravenous, spinal, or other anesthetics, following specified methods and procedures.O*NET Task ID 18364 | 0.0 |
Respond to emergency situations by providing airway management, administering emergency fluids or drugs, or using basic or advanced cardiac life support techniques.O*NET Task ID 18365 | 0.0 |
Select, order, or administer anesthetics, adjuvant drugs, accessory drugs, fluids or blood products as necessary.O*NET Task ID 18366 | 0.0 |
Obtain informed consent from patients for anesthesia procedures.O*NET Task ID 18369 | 0.0 |
Select, prepare, or use equipment, monitors, supplies, or drugs for the administration of anesthetics.O*NET Task ID 18370 | 0.0 |
Calibrate and test anesthesia equipment.O*NET Task ID 18371 | 0.0 |
Disassemble and clean anesthesia equipment.O*NET Task ID 18372 | 0.0 |
Insert arterial catheters or perform arterial punctures to obtain arterial blood samples.O*NET Task ID 18373 | 0.0 |
Insert peripheral or central intravenous catheters.O*NET Task ID 18374 | 0.0 |
Request anesthesia equipment repairs, adjustments, or safety tests.O*NET Task ID 18377 | 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