Infirmiers praticiens et infirmiers professionnels autorisés

Risque Faible
25%
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RISQUE D'AUTOMATISATION
CALCULÉ
24%
(Risque Faible)
SONDAGE
26%
(Risque Faible)
Average: 25%
DEMANDE DE TRAVAIL
CROISSANCE
2,6%
par l'année 2033
SALAIRES
59 730 $
ou 28,71 $ par heure
Volume
630 250
à partir du 2023
RÉSUMÉ
SCORE DE TRAVAIL
6,3/10

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Risque d'automatisation calculé

24% (Risque Faible)

Risque Faible (21-40%) : Les emplois à ce niveau présentent un risque limité d'automatisation, car ils nécessitent un mélange de compétences techniques et centrées sur l'humain.

Plus d'informations sur ce que représente ce score et comment il est calculé sont disponibles ici.

Certaines qualités très importantes du travail sont difficiles à automatiser :

  • Aider et Prendre Soin des Autres

  • Perceptivité Sociale

Certaines qualités assez importantes du travail sont difficiles à automatiser :

  • Dextérité des Doigts

  • Dextérité manuelle

Sondage utilisateur

26% chance de pleine automatisation au cours des deux prochaines décennies

Nos visiteurs ont voté qu'il y a peu de chances que cette profession soit automatisée. Cette évaluation est davantage soutenue par le niveau de risque d'automatisation calculé, qui estime 24% de chances d'automatisation.

Que pensez-vous du risque de l'automatisation?

Quelle est la probabilité que Infirmiers praticiens et infirmiers professionnels autorisés soit remplacé par des robots ou l'intelligence artificielle dans les 20 prochaines années ?






Croissance

Une croissance lente par rapport à d'autres professions.

On s'attend à ce que le nombre de postes vacants pour 'Licensed Practical and Licensed Vocational Nurses' augmente 2,6% d'ici 2033

Emploi total, et estimations des offres d'emploi

* Données de la Bureau of Labor Statistics pour la période entre 2021 et 2031
Les prévisions mises à jour sont attendues 09-2024.

Salaires

Rémunéré de manière modérée par rapport à d'autres professions

En 2023, le salaire annuel médian pour 'Licensed Practical and Licensed Vocational Nurses' était de 59 730 $, soit 28 $ par heure.

'Licensed Practical and Licensed Vocational Nurses' ont été payés 24,3% de plus que le salaire médian national, qui était de 48 060 $

Salaires au fil du temps

* Données provenant du Bureau des Statistiques du Travail

Volume

Gamme de possibilités d'emploi nettement plus grande comparée à d'autres professions

À partir de 2023, il y avait 630 250 personnes employées en tant que 'Licensed Practical and Licensed Vocational Nurses' aux États-Unis.

Cela représente environ 0,42% de la main-d'œuvre employée à travers le pays

Autrement dit, environ 1 personne sur 240 est employée en tant que 'Licensed Practical and Licensed Vocational Nurses'.

Description du poste

Prendre soin des patients malades, blessés, en convalescence ou des personnes handicapées dans les hôpitaux, maisons de retraite, cliniques, maisons privées, foyers de groupe et institutions similaires. Peut travailler sous la supervision d'une infirmière diplômée. Licence requise.

SOC Code: 29-2061.00

Ressources

Si vous envisagez de commencer une nouvelle carrière ou de changer de travail, nous avons créé un outil de recherche d'emploi pratique qui pourrait vous aider à décrocher ce nouveau poste parfait.

Recherchez des emplois dans votre région locale

Commentaires

Al (Aucune chance) 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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