Enfermeros Licenciados Prácticos y Vocacionales

Riesgo Bajo
25%
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RIESGO DE AUTOMATIZACIÓN
CALCULADO
24%
(Riesgo Bajo)
ENCUESTANDO
26%
(Riesgo Bajo)
Average: 25%
DEMANDA DE TRABAJO
CRECIMIENTO
2,6%
para el año 2033
SALARIOS
59.730 $
o 28,71 $ por hora
Volumen
630.250
a partir de 2023
RESUMEN
PUNTUACIÓN DE EMPLEO
6,3/10

Las personas también vieron

Riesgo de automatización calculado

24% (Riesgo Bajo)

Riesgo Bajo (21-40%): Los trabajos en este nivel tienen un riesgo limitado de automatización, ya que requieren una combinación de habilidades técnicas y centradas en el ser humano.

Más información sobre qué es esta puntuación y cómo se calcula está disponible aquí.

Algunas cualidades muy importantes del trabajo son difíciles de automatizar:

  • Asistiendo y Cuidando a Otros

  • Percepción Social

Algunas cualidades bastante importantes del trabajo son difíciles de automatizar:

  • Destreza Manual

  • Destreza Manual

Encuesta de usuarios

26% posibilidad de automatización completa en las próximas dos décadas

Nuestros visitantes han votado que hay una baja probabilidad de que esta ocupación se automatice. Esta evaluación se ve respaldada por el nivel de riesgo de automatización calculado, que estima una posibilidad del 24% de automatización.

¿Cuál crees que es el riesgo de la automatización?

¿Cuál es la probabilidad de que Enfermeros Licenciados Prácticos y Vocacionales sea reemplazado por robots o inteligencia artificial en los próximos 20 años?






Crecimiento

Crecimiento lento en comparación con otras profesiones.

Se espera que el número de ofertas de trabajo para 'Licensed Practical and Licensed Vocational Nurses' aumente 2,6% para 2033

Empleo total y estimaciones de vacantes laborales

* Datos de la Oficina de Estadísticas Laborales para el período entre 2021 y 2031
Las proyecciones actualizadas se deben 09-2024.

Salarios

Moderadamente remunerado en relación con otras profesiones

En 2023, el salario anual mediano para 'Licensed Practical and Licensed Vocational Nurses' fue de 59.730 $, o 28 $ por hora.

'Licensed Practical and Licensed Vocational Nurses' recibieron un salario 24,3% más alto que el salario medio nacional, que se situó en 48.060 $

Salarios a lo largo del tiempo

* Datos de la Oficina de Estadísticas Laborales

Volumen

Rango significativamente mayor de oportunidades laborales en comparación con otras profesiones

A partir de 2023, había 630.250 personas empleadas como 'Licensed Practical and Licensed Vocational Nurses' dentro de los Estados Unidos.

Esto representa alrededor del 0,42% de la fuerza laboral empleada en todo el país.

Dicho de otra manera, alrededor de 1 de cada 240 personas están empleadas como 'Licensed Practical and Licensed Vocational Nurses'.

Descripción del trabajo

Cuidado de pacientes enfermos, lesionados, convalecientes o personas con discapacidades en hospitales, hogares de ancianos, clínicas, hogares privados, hogares grupales e instituciones similares. Puede trabajar bajo la supervisión de una enfermera registrada. Se requiere licencia.

SOC Code: 29-2061.00

Recursos

Si estás pensando en comenzar una nueva carrera, o buscando cambiar de trabajo, hemos creado una útil herramienta de búsqueda de empleo que podría ayudarte a conseguir ese nuevo rol perfecto.

Busca empleos en tu área local

Comentarios

Al (Sin posibilidad) 10 months ago
Honestly, this should be the same rating as Registered Nurse, which is very low or no chance at all. I work as a CNA (i.e., a Certified Nurse Assistant), and I will be going into nursing school to become an Licensed Vocational Nurse or LVN for short. With this in mind, I do not think it is the case that Artificial Intelligence, or AI, can replace LVNs at all, and if it does, it will do so in a limited fashion. I think this is so, based on my experience as a CNA. Since I am speaking anecdotally, please do not take my reasoning as infallible or conclusive. The LVNs I work with, and the job they work, require a great amount of humanised skill. This means that their work necessitates abilities and qualities unique to biological human beings. This is so, because many human beings possess natural particular capabilities that are either difficult for AI to replicate, or cannot possess at all. This does not mean that AI will never possess some abilities. This is the case, because one cannot, even with the greatest amount of abstract reasoning or empirical evidence, completely predict the future in full accuracy. At least not all the time. It could still very well be the case that AI may be able to replicate some humanised skills that they find difficult to replicate. I will exemplify my argument in the following paragraph.

As an example, take the humanised skill of empathy. Empathy is the emotional skill to understand and share the feelings of another person. This shared emotional connection is something many, if not all, patients crave and desire. Empathy is something that AI cannot replicate well. In order for empathy to occur between two individuals, both individuals must be capable of emotions. Humans are capable of emotions, but AI robots are not. Emotions are biological, chemical, and mental reactions to certain stimuli. These reactions are uniquely inherent to organic living biological beings. An AI robot is not an organic living being, and thus cannot produce emotions. The best an AI can do is be programmed in a way to say certain things when a patient exhibits particular facial responses or verbal/tonal nuances. However, there is more to empathy than just being responsive. There exists a shared feeling that a human can only feel with another human, or another animal, especially when one of those humans is in a medically ill or injurious state.

Critical thinking serves as another example of a humanised skill that AI will find difficult to replicate. Critical thinking is the intellectual act of considering certain concepts, and constructing a charitable and objective take on said concepts through abstract reasoning or empirical evidence. To further this, the more unique and nuanced those concepts are, the more difficult it will be to critically think about said concepts. In the healthcare settings that LVNs find themselves in, there exists many unique concepts, or in this case, situations. I will illuminate one and that would be the case of patients with severe dementia. Patients with this mental condition may showcase behaviour that includes, but not limited to, loud screaming, random crying and potential desires for killing. What to do with these kind of patients is something LVNs face on a daily basis. Should the LVN just ignore the patient? Doing so may endanger the patient to him or herself, or worse, endanger other patients situated in the same room. Ignoring patients is also considered abuse in healthcare settings. On the other hand, ignoring the patient may allow the LVN to give care to other patients with much more debilitating conditions in the meantime, and thus allowing the LVN efficient time management. The LVN can also attend to that patient first, but only to administer medication that will calm him down, and make the LVN’s work less difficult. This may prove detrimental, if a family member of another patient asked the LVN to administer medicine to him first, because he missed a dose earlier in the day. With all this in mind, one can see how as an LVN there are many factors that they have to consider when making a reasonable decision, such as proper ethics, personal feelings, logical order of work, and so on. The LVN must be able to evaluate these factors and utilise his intellectual capacity for reason to support making the right decision. An AI’s intellectual capacity is much more rigid than a human’s mind. An AI robot cannot improvise at any given moment in the same fashion as a human. Unique situations, such as the aforementioned dementia case, requires a mind being able to asses many nuanced factors unique to the situation. Unfortunately, AI is just not capable yet of such critical thinking.
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