医療転写者
ヘルスケアAI露出度
- データ出典: BLS公表時点: '26.08
高い· 相対
低い4段階の相対区分非常に高い職業群単位の値
尺度・母数・出典
4段階の相対区分（低い / 中程度 / 高い / 非常に高い）
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
- データ出典: Anthropic公表時点: '26.03
0.636
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: '25
0.53
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の職業小分類単位 — 同じコードの職業はすべて同じ値
当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは14%です。
この出典がどのような性格の値か
BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。
Task-level exposure
非表示の作業 14 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Produce medical reports, correspondence, records, patient-care information, statistics, medical research, and administrative material. | —0 | 0.0100100.0 |
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
この職業に関わる最近の変化
2026年3月: Karpathy rates medical transcriptionists 10/10 — the only perfect AI exposure score — as virtually all core tasks are LLM-automatable.
[出典: Karpathy AI Exposure Score (Fortune)]