Medicos de Urgencias
SaludExposición a la IA
- Fuente de datos: BLSPublicado: 2026-08
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: ILOPublicado: 2025
0.27
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 74% alcanza o supera este valor.
- Fuente de datos: OpenAIPublicado: 2023
0.353
0.000Rango de los valores aquí recogidos0.844Escala, base y fuente
β de evaluadores humanos, 0–1 tal como se publica
Mapeado sobre tareas de O*NET
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
Ver 198 tareas ocultas| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Educate patients about diagnoses, prognoses, or treatments.29-1069 | 0.066129.6 | 0.00607.4 |
Develop individualized treatment plans for patients, considering patient preferences, clinical data, or the risks and benefits of therapies.29-1069 | 0.01978.8 | 0.00496.0 |
Educate patients about maintenance and promotion of healthy vision.29-1069 | 0.01506.7 | —0 |
Prepare comprehensive interpretive reports of findings.29-1069 | 0.01285.7 | 0.011213.8 |
Interpret diagnostic test results to make appropriate differential diagnoses.29-1069 | 0.01135.1 | 0.00222.7 |
Interpret imaging data and confer with other medical specialists to formulate diagnoses.29-1069 | 0.00773.4 | 0.00394.8 |
Communicate examination results or diagnostic information to referring physicians, patients, or families.29-1069 | 0.00743.3 | —0 |
Provide information about potential health hazards and possible interventions to the media, the public, other health care professionals, or local, state, and federal health authorities.29-1069 | 0.00642.9 | —0 |
Develop and prescribe exercise programs such as off-season conditioning regimens.29-1069 | 0.00632.8 | 0.00162.0 |
Conduct research and present scientific findings.29-1069 | 0.00602.7 | 0.00465.7 |
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 |
|---|---|
Collect and record patient information, such as medical history or examination results, in electronic or handwritten medical records.O*NET Task ID 22717 | 1.0 |
Analyze records, examination information, or test results to diagnose medical conditions.O*NET Task ID 22715 | 0.5 |
Assess patients' pain levels or sedation requirements.O*NET Task ID 22716 | 0.5 |
Communicate likely outcomes of medical diseases or traumatic conditions to patients or their representatives.O*NET Task ID 22718 | 0.5 |
Conduct primary patient assessments that include information from prior medical care.O*NET Task ID 22719 | 0.5 |
Consult with hospitalists and other professionals, such as social workers, regarding patients' hospital admission, continued observation, transition of care, or discharge.O*NET Task ID 22720 | 0.5 |
Direct and coordinate activities of nurses, assistants, specialists, residents, and other medical staff.O*NET Task ID 22721 | 0.5 |
Discuss patients' treatment plans with physicians and other medical professionals.O*NET Task ID 22722 | 0.5 |
Evaluate patients' vital signs or laboratory data to determine emergency intervention needs and priority of treatment.O*NET Task ID 22723 | 0.5 |
Identify factors that may affect patient management, such as age, gender, barriers to communication, and underlying disease.O*NET Task ID 22724 | 0.5 |
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