Farmacéuticos
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
0.090
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
0.33
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 63% 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
Ver 14 tareas ocultas| Task | Claude.aiRaw / share % |
|---|---|
Provide information and advice regarding drug interactions, side effects, dosage, and proper medication storage.29-1051 | 0.023633.4 |
Assess the identity, strength, or purity of medications.29-1051 | 0.020328.8 |
Plan, implement, or maintain procedures for mixing, packaging, or labeling pharmaceuticals, according to policy and legal requirements, to ensure quality, security, and proper disposal.29-1051 | 0.010614.9 |
Compound and dispense medications as prescribed by doctors and dentists, by calculating, weighing, measuring, and mixing ingredients, or oversee these activities.29-1051 | 0.010214.4 |
Analyze prescribing trends to monitor patient compliance and to prevent excessive usage or harmful interactions.29-1051 | 0.00304.2 |
Publish educational information for other pharmacists, doctors, or patients.29-1051 | 0.00304.2 |
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 |
|---|---|
Teach pharmacy students serving as interns in preparation for their graduation or licensure.O*NET Task ID 1825 | 1.0 |
Publish educational information for other pharmacists, doctors, or patients.O*NET Task ID 1826 | 1.0 |
Update or troubleshoot pharmacy information databases.O*NET Task ID 20406 | 1.0 |
Review prescriptions to assure accuracy, to ascertain the needed ingredients, and to evaluate their suitability.O*NET Task ID 1808 | 0.5 |
Provide information and advice regarding drug interactions, side effects, dosage, and proper medication storage.O*NET Task ID 1809 | 0.5 |
Analyze prescribing trends to monitor patient compliance and to prevent excessive usage or harmful interactions.O*NET Task ID 1810 | 0.5 |
Order and purchase pharmaceutical supplies, medical supplies, or drugs, maintaining stock and storing and handling it properly.O*NET Task ID 1811 | 0.5 |
Maintain records, such as pharmacy files, patient profiles, charge system files, inventories, control records for radioactive nuclei, or registries of poisons, narcotics, or controlled drugs.O*NET Task ID 1812 | 0.5 |
Provide specialized services to help patients manage conditions, such as diabetes, asthma, smoking cessation, or high blood pressure.O*NET Task ID 1813 | 0.5 |
Advise customers on the selection of medication brands, medical equipment, or healthcare supplies.O*NET Task ID 1814 | 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