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The Impact and Issues of Artificial Intelligence in Nursing Science and Healthcare Settings

Medicine and Health

The Impact and Issues of Artificial Intelligence in Nursing Science and Healthcare Settings

D. Aprianto, Pailaha, et al.

This paper dives into the transformative role of artificial intelligence in nursing science and healthcare. The research covers both the promising benefits and potential challenges, such as algorithmic bias and the reliability of AI-driven clinical decisions. Conducted by Daniel Aprianto and Pailaha.

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~3 min • Beginner • English
Abstract
Research and development of artificial intelligence (AI)-based technologies systems in healthcare has increased over the past decade, highlighting the strong potential of AI to improve the quality of nursing care.To meet the new demands for nursing care, it is necessary that AI be integrated into nursing science and healthcare setting, especially in nursing care.The current challenge is to transform this expanded set of technology into clinical benefits for patients, through more advanced, accurate, practical, effective, efficient, and economical and personalized care.Along with the potential positive outcomes, AI technology also has unintended consequences that have the potential to negatively impact and adversely affect the nursing profession and the primary purpose of nursing practice in healthcare system.This aimed to explore and discuss the impact of applying AI in nursing science and healthcare system to provide approximate nursing care.Some of the impacts that can be evaluated and seen today in the context of using AI technology systems in the scope of nursing and healthcare are expanding access to quality medical care, improving medical records, and improving the quality of services.The use of AI technology systems also has some issues, such as bias and algorithms, which are drawbacks that need to be considered when evaluating the accuracy of the displayed results.
Publisher
Not specified in the provided text
Published On
Aug 06, 2023
Authors
Daniel Aprianto, Pailaha, Aprianto Daniel Pailaha
Tags
artificial intelligence
nursing science
healthcare
algorithmic bias
clinical decisions
patient care
critical thinking
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