Transcricionistas Médicos
SaúdeExposição à IA
- Fonte dos dados: BLSPublicado: '26.08
Alto· relativa
BaixoQuatro faixas relativasMuito altoValor por grupo ocupacional
Escala, base e fonte
Quatro faixas relativas (Baixo / Moderado / Alto / Muito alto)
831 ocupações detalhadas da tabela de projeções de emprego do BLS. O valor é atribuído por código da National Employment Matrix (NEM), pelo que as ocupações que partilham um código NEM recebem a mesma banda
- Fonte dos dados: AnthropicPublicado: '26.03
0.636
0.000Intervalo dos valores aqui apresentados0.745Escala, base e fonte
Índice de exposição observada, 0–1 tal como publicado
Mapeado sobre tarefas O*NET
- Fonte dos dados: ILOPublicado: '25
0.53
0.09Intervalo dos valores aqui apresentados0.70Valor por grupo ocupacional
Escala, base e fonte
Índice de exposição à IA generativa, 0–1 tal como publicado
Grupo de base CITP-08 — todas as ocupações com o mesmo código recebem este valor
Calculado por este site, não publicado pela OIT: das 1.012 ocupações que este site liga ao conjunto de dados da OIT, 14% atingem ou superam este valor.
Que tipo de valor esta fonte publica
A categoria de BLS é uma posição relativa, não um nível absoluto, e também não é uma medição de primeira mão: agrupa em quatro faixas as posições percentis da ocupação em vários estudos publicados. Não é uma previsão de emprego ou de salários, não é uma probabilidade de adoção e não distingue automação de aumento.
Task-level exposure
Apenas tarefas expostas| Task | Claude.aiRaw / share % |
|---|---|
Produce medical reports, correspondence, records, patient-care information, statistics, medical research, and administrative material.31-9094 | 0.044240.3 |
Review and edit transcribed reports or dictated material for spelling, grammar, clarity, consistency, and proper medical terminology.31-9094 | 0.039536.0 |
Translate medical jargon and abbreviations into their expanded forms to ensure the accuracy of patient and health care facility records.31-9094 | 0.01009.2 |
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 | 0.00726.5 |
Set up and maintain medical files and databases, including records such as x-ray, lab, and procedure reports, medical histories, diagnostic workups, admission and discharge summaries, and clinical resumes.31-9094 | 0.00534.9 |
Take dictation using shorthand, a stenotype machine, or headsets and transcribing machines.31-9094 | 0.00343.1 |
| Not observed on any surface — 9 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Transcribe dictation for a variety of medical reports, such as patient histories, physical examinations, emergency room visits, operations, chart reviews, consultation, or discharge summaries. | —0 |
Return dictated reports in printed or electronic form for physician's review, signature, and corrections and for inclusion in patients' medical records. | —0 |
Identify mistakes in reports and check with doctors to obtain the correct information. | —0 |
Perform data entry and data retrieval services, providing data for inclusion in medical records and for transmission to physicians. | —0 |
Answer inquiries concerning the progress of medical cases, within the limits of confidentiality laws. | —0 |
Perform a variety of clerical and office tasks, such as handling incoming and outgoing mail, completing and submitting insurance claims, typing, filing, and operating office machines. | —0 |
Decide which information should be included or excluded in reports. | —0 |
Receive patients, schedule appointments, and maintain patient records. | —0 |
Receive and screen telephone calls and visitors. | —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 |
Receive and screen telephone calls and visitors.O*NET Task ID 9427 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
Alterações recentes que afetam esta ocupação
mar. de 2026: Karpathy rates medical transcriptionists 10/10 — the only perfect AI exposure score — as virtually all core tasks are LLM-automatable.
[Fonte: Karpathy AI Exposure Score (Fortune)]