Transcriptores Médicos
SaludExposición a la IA
- Fuente de datos: BLSPublicado: '26.08
Alto· relativa
BajoCuatro bandas relativasMuy altoValor por grupo ocupacional
Escala, base y fuente
Cuatro bandas relativas (Bajo / Moderado / Alto / Muy alto)
831 ocupaciones detalladas de la tabla de proyecciones de empleo de BLS. El valor se asigna por código de la National Employment Matrix (NEM), de modo que las ocupaciones que comparten un código NEM reciben la misma banda
- Fuente de datos: AnthropicPublicado: '26.03
0.636
0.000Rango de los valores aquí recogidos0.745Escala, base y fuente
Índice de exposición observada, 0–1 tal como se publica
Mapeado sobre tareas de O*NET
- Fuente de datos: ILOPublicado: '25
0.53
0.09Rango de los valores aquí recogidos0.70Valor por grupo ocupacional
Escala, base y fuente
Índice de exposición a la IA generativa, 0–1 tal como se publica
Grupo primario de la CIUO-08 — todas las ocupaciones con ese código reciben este valor
Calculado por este sitio, no publicado por la OIT: de las 1012 ocupaciones que este sitio vincula al conjunto de datos de la OIT, un 14% alcanza o supera este valor.
Qué tipo de cifra publica esta fuente
La categoría de BLS es un rango relativo, no un nivel absoluto, y tampoco es una medición de primera mano: agrupa en cuatro bandas los rangos percentiles de la ocupación en varios estudios publicados. No es una previsión de empleo ni de salarios, no es una probabilidad de adopción y no distingue entre automatización y aumento.
Task-level exposure
Solo tareas expuestas| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Answer inquiries concerning the progress of medical cases, within the limits of confidentiality laws.31-9094 | 0.00000.0 | 0.00000.0 |
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 | 0.00000.0 | —0 |
Produce medical reports, correspondence, records, patient-care information, statistics, medical research, and administrative material. | —0 | 0.0100100.0 |
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 | 0.00000.0 |
Review and edit transcribed reports or dictated material for spelling, grammar, clarity, consistency, and proper medical terminology. | —0 | 0.00000.0 |
Perform data entry and data retrieval services, providing data for inclusion in medical records and for transmission to physicians. | —0 | 0.00000.0 |
Decide which information should be included or excluded in reports. | —0 | 0.00000.0 |
Receive patients, schedule appointments, and maintain patient records. | —0 | 0.00000.0 |
| Not observed on any surface — 7 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. | ||
Distinguish between homonyms and recognize inconsistencies and mistakes in medical terms, referring to dictionaries, drug references, and other sources on anatomy, physiology, and medicine. | —0 | —0 |
Return dictated reports in printed or electronic form for physician's review, signature, and corrections and for inclusion in patients' medical records. | —0 | —0 |
Translate medical jargon and abbreviations into their expanded forms to ensure the accuracy of patient and health care facility records. | —0 | —0 |
Identify mistakes in reports and check with doctors to obtain the correct information. | —0 | —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. | —0 | —0 |
Receive and screen telephone calls and visitors. | —0 | —0 |
Take dictation using shorthand, a stenotype machine, or headsets and transcribing machines. | —0 | —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
Cambios recientes que afectan a esta ocupación
mar 2026: Karpathy rates medical transcriptionists 10/10 — the only perfect AI exposure score — as virtually all core tasks are LLM-automatable.
[Fuente: Karpathy AI Exposure Score (Fortune)]