The Integration of Artificial Intelligence in Nursing Practice: Opportunities and Challenges

The adoption of artificial intelligence (AI) into the nursing workforce means a lot of positives but also lots of negatives. This paper aims at a review of how AI is applied in the different fields of nursing, both at the level of a DIRECT patient care, as well as organizational management and medical research. Nevertheless, decision-makers have several concerns in adopting AI technology to help in the selection, analysis, and execution of decisions, differential patient outcomes, integrated work-related efficiencies, data privacy, ethical issues, and nurses’ competence. The purpose of this research is to determine some of the benefits of AI utilized in nursing practice as well as acknowledging and understanding the barriers to the implementation of AI technologies and systems by nurses. Suggestions are given to facilitate the implementation of AI in practice for nursing.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-30
DOI
https://doi.org/10.5281/zenodo.15105143
Primary Topic
Medical Image Segmentation Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

The Integration of Artificial Intelligence in Nursing Practice: Opportunities and Challenges

Zenodo (CERN European Organization for Nuclear Research)
Medical Image Segmentation Techniques
article

The Integration of Artificial Intelligence in Nursing Practice: Opportunities and Challenges

article en

Abstract

The adoption of artificial intelligence (AI) into the nursing workforce means a lot of positives but also lots of negatives. This paper aims at a review of how AI is applied in the different fields of nursing, both at the level of a DIRECT patient care, as well as organizational management and medical research. Nevertheless, decision-makers have several concerns in adopting AI technology to help in the selection, analysis, and execution of decisions, differential patient outcomes, integrated work-related efficiencies, data privacy, ethical issues, and nurses’ competence. The purpose of this research is to determine some of the benefits of AI utilized in nursing practice as well as acknowledging and understanding the barriers to the implementation of AI technologies and systems by nurses. Suggestions are given to facilitate the implementation of AI in practice for nursing.

Zenodo (CERN European Organization for Nuclear Research)
PLA Army Service Academy (CN)
Openalex Percentile: Top 63%
Medical Image Segmentation Techniques
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