Artificial Intelligence as a Tool in Healthcare

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Nowadays, Artificial Intelligence (AI) is widely implemented in the healthcare industry chain to improve nursing care on a unit level. In fact, AI is a technology that can store information and convert it to create strategies or offer relevant solutions to problems. Overall, the implementation of AI and its many kinds of intelligence is beyond beneficial for healthcare units for enhancing patient care within institutions.

To begin with, AI is an efficient technology that can be implemented in healthcare to increase the productivity of employees. To elaborate, the ability of this technology to convert data into knowledge allows AI to guide decisions concerning patient treatment to nurses (Robert, 2019). Additionally, the AI can quickly consider large volumes of data when assessing risks in patient care to save nurses time (Douthit et al., 2022). Besides, robotic process automation (RPA) can be used for delegating simple responsibilities to robots to increase the amount of time doctors actually spend on treating patients (Robert, 2019). Yet, despite the countless advantages of AI implementation in healthcare, there are many drawbacks that units have to consider (Douthit et al., 2022). To be more exact, the first disadvantage of this technology is it is not entirely reliable and may fail due to cyberattacks or other technical errors, even when employed in healthcare. Moreover, AI, as a virtual form of intelligence, can become corrupted, which may lead to many negative repercussions within the institutions.

In summary, AI is a beneficial tool in healthcare as it provides institutions with many advantages and less complicated operations. The technology can assist in storing medical data and transforming it into knowledge, which can then be used to plan patient treatments and assess risks of nursing care. Still, the entire dependence on AI for healthcare units is not advisable as technology tends to be unreliable and fails when any errors occur.

References

Douthit, B. J., Shaw, R. J., Lytle, K. S., Richesson, R. L., & Cary, M. P. (2022). . American Nurse. Web.

Robert, N. (2019). Nursing Management, 50(9), 30–39. Web.

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