家庭医学医师
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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21%的机会实现自动化。
你认为自动化的风险是什么?
家庭医学医师在未来20年内被机器人或人工智能取代的可能性有多大?
情感
以下图表会在有大量投票数据可以呈现有意义的数据时包含在内。这些视觉表示显示了用户投票结果随时间的变化,提供了对情绪趋势的重要指示。
随着时间(每年)的情绪变化
增长
预计"Family Medicine Physicians"的工作空缺数量将在2032内增长3.3%
总就业人数和预计的职位空缺
更新的预测将在09-2023到期.
工资
在2022,'Family Medicine Physicians'的年度中位数工资为$211,300,或每小时$101。
'Family Medicine Physicians'的薪资比全国中位工资高356.3%,全国中位工资为$46,310。
随着时间推移的工资
体积
截至2022,在美国有100,940人被雇佣为'Family Medicine Physicians'。
这代表了全国就业劳动力的大约0.07%
换句话说,大约每1 千人中就有1人被雇佣为“Family Medicine Physicians”。
工作描述
诊断,治疗,并为个人和家庭提供全生命周期的预防护理。在需要进一步诊断或治疗时,可能会将患者转介给专家。
SOC Code: 29-1215.00
资源
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评论
Improved accuracy: AI systems can process and analyze vast amounts of medical data much more quickly and accurately than humans. This means that they can potentially diagnose illnesses with higher accuracy and specificity than family doctors.
Cost-effective: As AI technology continues to advance, it is becoming increasingly cost-effective to deploy AI-powered medical systems. This means that it may be more financially viable to use AI systems to provide medical advice and diagnosis than to employ a large number of human doctors.
Availability: Many people in remote or underserved areas may not have access to a family doctor. AI-powered medical systems can potentially provide medical advice and diagnosis to these populations, increasing access to healthcare.
Personalized care: AI systems can leverage large amounts of data to provide personalized medical advice to individuals. This means that patients could potentially receive more tailored and effective treatments than they would from a human doctor who may not have access to the same level of data.
24/7 availability: AI-powered medical systems can potentially provide medical advice and diagnosis 24/7, which may be particularly beneficial in emergency situations.
It is important to note, however, that the replacement of family doctors by AI systems is not without its challenges. One of the biggest challenges is the ethical considerations surrounding the use of AI in healthcare, particularly with regards to data privacy and informed consent. Additionally, there may be concerns around the accuracy and reliability of AI-powered medical systems, particularly if they are not properly tested and validated. Nonetheless, as AI technology continues to advance, it is likely that we will see increased use of AI-powered medical systems to complement or even replace human doctors in certain situations.
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