Enfermeros Registrados

Salud

Exposición a la IA

  • Fuente de datos: BLSPublicado: '26.08

    Alto· relativa

    BajoCuatro bandas relativasMuy alto

    Valor 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

    Conjunto de datos de origen (descarga XLSX)

  • Fuente de datos: AnthropicPublicado: '26.03

    0.059

    0.000Rango de los valores aquí recogidos0.745
    Escala, base y fuente

    Índice de exposición observada, 0–1 tal como se publica

    Mapeado sobre tareas de O*NET

    Conjunto de datos de origen

  • Fuente de datos: ILOPublicado: '25

    0.25

    0.09Rango de los valores aquí recogidos0.70

    Valor 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 77% alcanza o supera este valor.

    Conjunto de datos de origen

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

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.

TaskβE1 + 0.5 × E2
Maintain accurate, detailed reports and records.

O*NET Task ID 1839

1.0
Monitor, record, and report symptoms or changes in patients' conditions.

O*NET Task ID 1840

0.5
Record patients' medical information and vital signs.

O*NET Task ID 1841

0.5
Modify patient treatment plans as indicated by patients' responses and conditions.

O*NET Task ID 1842

0.5
Consult and coordinate with healthcare team members to assess, plan, implement, or evaluate patient care plans.

O*NET Task ID 1843

0.5
Order, interpret, and evaluate diagnostic tests to identify and assess patient's condition.

O*NET Task ID 1844

0.5
Monitor all aspects of patient care, including diet and physical activity.

O*NET Task ID 1845

0.5
Assess the needs of individuals, families, or communities, including assessment of individuals' home or work environments, to identify potential health or safety problems.

O*NET Task ID 1849

0.5
Instruct individuals, families, or other groups on topics such as health education, disease prevention, or childbirth and develop health improvement programs.

O*NET Task ID 1850

0.5
Prescribe or recommend drugs, medical devices, or other forms of treatment, such as physical therapy, inhalation therapy, or related therapeutic procedures.

O*NET Task ID 1859

0.5
Direct or supervise less-skilled nursing or healthcare personnel or supervise a particular unit.

O*NET Task ID 1846

0.0
Prepare patients for and assist with examinations or treatments.

O*NET Task ID 1847

0.0
Observe nurses and visit patients to ensure proper nursing care.

O*NET Task ID 1848

0.0
Prepare rooms, sterile instruments, equipment, or supplies and ensure that stock of supplies is maintained.

O*NET Task ID 1851

0.0
Inform physician of patient's condition during anesthesia.

O*NET Task ID 1852

0.0
Administer local, inhalation, intravenous, or other anesthetics.

O*NET Task ID 1854

0.0
Provide health care, first aid, immunizations, or assistance in convalescence or rehabilitation in locations such as schools, hospitals, or industry.

O*NET Task ID 1855

0.0
Perform physical examinations, make tentative diagnoses, and treat patients en route to hospitals or at disaster site triage centers.

O*NET Task ID 1856

0.0
Conduct specified laboratory tests.

O*NET Task ID 1857

0.0
Administer medications to patients and monitor patients for reactions or side effects.

O*NET Task ID 20413

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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information

Cambios recientes que afectan a esta ocupación

abr 2026: Healthcare posted record Q1 high at 23,520 cuts. AI diagnostic tools, automated admin workflows, and scheduling AI changing the equation. AI was #1 March cut reason overall.

[Fuente: Challenger March 2026]

abr 2026: OpenAI workplace report (Apr 2026): Healthcare ranks among the lowest-adoption industries due to patient-data and HIPAA constraints, not because clinicians wouldn't benefit. Documentation assistance is the leading edge; direct clinical-workflow integration remains blocked.

[Fuente: OpenAI — ChatGPT Usage and Adoption Patterns at Work (April 2026)]

abr 2026: Registered nurses flagged as insulated; physical and relational necessity (bedside care, calming patients) sits outside what AI can substitute.

[Fuente: OpenAI Jobs Transition Framework, April 2026]