执照实习护士和执照职业护士
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计算自动化风险
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。
用户投票
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
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
更新的预测将在09-2024到期.
工资
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
体积
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
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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