执照实习护士和执照职业护士

低风险
25%
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自动化风险
计算出的
24%
(低风险)
投票
26%
(低风险)
Average: 25%
劳动力需求
增长
2.6%
到2033年
工资
$59,730
或每小时 $28.71
体积
630,250
截至 2023
摘要
工作评分
6.3/10

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计算自动化风险

24% (低风险)

低风险(21-40%):这个级别的工作面临的自动化风险较低,因为它们需要技术和以人为中心的技能的混合。

有关这个分数是什么以及如何计算的更多信息可在这里找到。

工作中的一些非常重要的品质很难实现自动化:

  • 帮助和照顾他人

  • 社会洞察力

工作中的一些相当重要的品质难以自动化:

  • 手指灵巧

  • 手工熟练度

用户投票

在接下来的二十年内,实现全自动化的可能性为26%

我们的访客投票表示,这个职业被自动化的可能性很低。 这个评估进一步得到了通过计算得出的自动化风险等级的支持,该等级预计有24%的机会实现自动化。

你认为自动化的风险是什么?

执照实习护士和执照职业护士在未来20年内被机器人或人工智能取代的可能性有多大?






增长

相对于其他职业,增长缓慢

预计"Licensed Practical and Licensed Vocational Nurses"的工作空缺数量将在2033内增长2.6%

总就业人数和预计的职位空缺

* 根据劳工统计局的数据,该数据涵盖了从2021到2031的期间。
更新的预测将在09-2024到期.

工资

相对于其他职业,薪酬适中

在2023,'Licensed Practical and Licensed Vocational Nurses'的年度中位数工资为$59,730,或每小时$28。

'Licensed Practical and Licensed Vocational Nurses'的薪资比全国中位工资高24.3%,全国中位工资为$48,060。

随着时间推移的工资

* 来自美国劳工统计局的数据

体积

与其他职业相比,明显更多的工作机会范围。

截至2023,在美国有630,250人被雇佣为'Licensed Practical and Licensed Vocational Nurses'。

这代表了全国就业劳动力的大约0.42%

换句话说,大约每240人中就有1人被雇佣为“Licensed Practical and Licensed Vocational Nurses”。

工作描述

在医院、护理院、诊所、私人住宅、团体住宅和类似机构中,照顾病患、受伤或康复中的患者或残疾人士。可能在注册护士的监督下工作。需要取得执照。

SOC Code: 29-2061.00

资源

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评论

Al (没有机会) 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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