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Pages:
1 page/≈275 words
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3 Sources
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APA
Subject:
Health, Medicine, Nursing
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Essay
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English (U.S.)
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MS Word
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Topic:

DB: Week 2 Artificial Intelligence in the Nursing Process

Essay Instructions:

Week 2 Discussion Board
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After reading the following article in the Week 2 readings and resource area "Artificial Intelligence, Critical Thinking and the Nursing Process. Consider the impact of Artificial Intelligence in nursing practice. Identify the areas of practice you think AI will impact? What pros and cons would you anticipate and how would you rectify these challenges? Follow discussion board parameters.
Reference:
Carroll, W. M. (2019). Artificial intelligence, critical thinking and the nursing process. Online Journal of Nursing Informatics, 23(2). Retrieved from http://search(dot)ebscohost(dot)com(dot)mylibrary(dot)wilmu(dot)edu/login.aspx?direct=true&db=ccm&AN=136478523&site=ehost-live
use article above

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DB: Week 2 Artificial Intelligence
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DB: Week 2 Artificial Intelligence
The application of technology in the nursing process has significantly improved efficiency and accuracy. Artificial Intelligence (AI) is a field of technology whereby machines tend to mimic human traits such as learning, thinking, perception, and planning. Even though the application of technology in nursing is still vague, it is necessary to understand how the technology works (Carroll, 2019). It is essential to understand that technology is machine-driven and should be used as assistance while making decisions.
In the nursing process, I think AI will impact critical thinking since it is complex and multifaceted. Predictive analytics is a segment in artificial intelligence, whereby machines analyze data from various sources to make future predictions. Critical thinking in nursing practice focuses on clinical decision makings, which could be assisted by predictive analysis of AI ("How artificial intelligence helps in health care," 2019). Since critical thinking is an intuitive process guiding nurses to think, learn, and predict future occurrences, they could use machine-driven predictions to expedite these actionable decisions.
When technology is use...
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