医学转录员
医疗保健AI暴露度
- 数据来源: BLS发布时间: '26.08
高· 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: '26.03
0.636
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: '25
0.53
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 14%。
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
显示隐藏的 7 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Take dictation using shorthand, a stenotype machine, or headsets and transcribing machines.31-9094 | 0.028639.9 | 0.017826.9 |
Produce medical reports, correspondence, records, patient-care information, statistics, medical research, and administrative material.31-9094 | 0.019627.3 | 0.010115.2 |
Review and edit transcribed reports or dictated material for spelling, grammar, clarity, consistency, and proper medical terminology.31-9094 | 0.016022.3 | 0.017326.1 |
Transcribe dictation for a variety of medical reports, such as patient histories, physical examinations, emergency room visits, operations, chart reviews, consultation, or discharge summaries.31-9094 | 0.00385.3 | 0.007511.3 |
Answer inquiries concerning the progress of medical cases, within the limits of confidentiality laws.31-9094 | 0.00202.8 | 0.00568.4 |
Distinguish between homonyms and recognize inconsistencies and mistakes in medical terms, referring to dictionaries, drug references, and other sources on anatomy, physiology, and medicine.31-9094 | 0.00172.4 | —0 |
Perform data entry and data retrieval services, providing data for inclusion in medical records and for transmission to physicians. | —0 | 0.00659.8 |
Receive patients, schedule appointments, and maintain patient records. | —0 | 0.00152.3 |
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 |
|---|---|
Transcribe dictation for a variety of medical reports, such as patient histories, physical examinations, emergency room visits, operations, chart reviews, consultation, or discharge summaries.O*NET Task ID 9413 | 1.0 |
Review and edit transcribed reports or dictated material for spelling, grammar, clarity, consistency, and proper medical terminology.O*NET Task ID 9414 | 1.0 |
Distinguish between homonyms and recognize inconsistencies and mistakes in medical terms, referring to dictionaries, drug references, and other sources on anatomy, physiology, and medicine.O*NET Task ID 9415 | 1.0 |
Return dictated reports in printed or electronic form for physician's review, signature, and corrections and for inclusion in patients' medical records.O*NET Task ID 9416 | 1.0 |
Translate medical jargon and abbreviations into their expanded forms to ensure the accuracy of patient and health care facility records.O*NET Task ID 9417 | 1.0 |
Identify mistakes in reports and check with doctors to obtain the correct information.O*NET Task ID 9419 | 1.0 |
Perform data entry and data retrieval services, providing data for inclusion in medical records and for transmission to physicians.O*NET Task ID 9420 | 1.0 |
Produce medical reports, correspondence, records, patient-care information, statistics, medical research, and administrative material.O*NET Task ID 9421 | 1.0 |
Answer inquiries concerning the progress of medical cases, within the limits of confidentiality laws.O*NET Task ID 9422 | 1.0 |
Perform a variety of clerical and office tasks, such as handling incoming and outgoing mail, completing and submitting insurance claims, typing, filing, or operating office machines.O*NET Task ID 9424 | 1.0 |
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
与本职业相关的近期变化
2026年3月: Karpathy rates medical transcriptionists 10/10 — the only perfect AI exposure score — as virtually all core tasks are LLM-automatable.
[来源: Karpathy AI Exposure Score (Fortune)]