Technology in global society

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Mechanics

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Will healthcare workers soon be replaced by artificial intelligence?
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Artificial intelligence is significantly revolutionizing functions in different spaces. Today,
diverse undertakings that can be automated use artificial intelligence. In healthcare, artificial
intelligence is continuously being integrated, especially in managing patients’ records and
corroboration of information to avoid healthcare-related errors. Although artificial intelligence is
instrumental in undertaking repetitive tasks in the healthcare environment, such as data
collection, it cannot replace healthcare workers because of the dynamic nature of healthcare
needs and how they evolve.
One of the significant reasons why artificial intelligence will not replace healthcare
workers in the future is because of the need for compassion in healthcare provision, a human
dimension that an AI algorithm cannot return. Human beings are emotional beings. Part of being
a doctor or nurse is not only to diagnose a patient but also to give them the human touch and
emotions that entail compassion and empathy, especially at their lowest moments. AI cannot
offer an interactive environment where an individual feels human and can share their suffering
with those who care for them at their vulnerable moments.
Healthcare workers will not soon be replaced by artificial intelligence because its
capabilities are significantly low and mechanical; therefore, it only suits some human needs.
Patients who are critically ill require round-the-clock care that varies from one person to another.
A person who is in the intensive care unit, for example, might require a change of medication
from time to time, the collection of their vital signs, and surgery when they stabilize. Given that
AI is more robotic than a critical thinking algorithm, it cannot replace essential care workers.
AI cannot replace healthcare workers because care is an intricate process that requires
increased collaboration that might not be offered by artificial intelligence (Okolo et al., 2021).
From the first stage, when one is diagnosed, the process is not straightforward but is dependent
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on a variety of factors. There are, for example, patients who require a second or third opinion
about their diagnosis. This can only be done by humans and not AI because it would give the
same results, therefore, transfer error if it was recognized in the first stage of diagnosis.
Care of critical patients requires feeding them, dressing them, and taking care of all the
small factors patients cannot take care of. Artificially operated robots cannot do this because they
are less advanced than human beings. This is more so when patients react in a manner that is not
expected. A patient who is under critical care, for example, might convulse, and the tubes that
feed them detach. They might also react in a way that could be more predictable. A response to
such an occurrence can only be human because a machine is only coded to act in a particular
manner at a given time. Such a response can, therefore, be only given by human beings. It is also
worth noting that sometimes patients need to be turned to avoid getting bed sores or are required
to be isolated when they develop infectious diseases that could affect others. In such cases,
artificial intelligence cannot be good enough to respond to such contingent occurrences.
Lastly, healthcare workers will not be replaced by artificial intelligence because they are
algorithms that behave differently than humans. Therefore, they cannot critically think of
contingent measures when there are emergencies, such as errors within the system. A mistake in
one step is, for example, likely to be propagated down the system, a factor that is fatal for
patients. Equally, there have to be machines that are specialized for every small healthcare need,
including emergencies such as those caused by natural disasters. Even when errors are
propagated, AI cannot be accountable (Sezgin, 2023). This would, therefore, cause conflict in
healthcare.
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References
Okolo, C. T., Kamath, S., Dell, N., & Vashistha, A. (2021, May). “It cannot do all of my work”:
community health worker perceptions of AI-enabled mobile health applications in rural
India. In Proceedings of the 2021 CHI Conference on Human Factors in Computing
Systems (pp. 1-20).
Sezgin, E. (2023). Artificial intelligence in healthcare: Complementing, not replacing, doctors
and healthcare providers. Digital Health, 9, 20552076231186520.