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Nursing in the Artificial Intelligence (AI) Era: Optimizing Staffing for Tomorrow
Amid the global nursing shortage, artificial intelligence (AI) offers a solution to align patient needs with nursing expertise, ensuring equitable workload distribution. Highlighting the transformative potential of artificial intelligence in healthcare, this editorial underscores its revolutionary i...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655932/ https://www.ncbi.nlm.nih.gov/pubmed/38021626 http://dx.doi.org/10.7759/cureus.47275 |
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author | Nashwan, Abdulqadir J Abujaber, Ahmad A |
author_facet | Nashwan, Abdulqadir J Abujaber, Ahmad A |
author_sort | Nashwan, Abdulqadir J |
collection | PubMed |
description | Amid the global nursing shortage, artificial intelligence (AI) offers a solution to align patient needs with nursing expertise, ensuring equitable workload distribution. Highlighting the transformative potential of artificial intelligence in healthcare, this editorial underscores its revolutionary impact on nursing staffing. By leveraging AI, we can enhance patient outcomes and operational efficiency and reduce staff burnout. However, challenges like data security and job stability arise. It is pivotal to emphasize its optimal integration, engaging nurses in decision-making, rigorous training, and prioritizing data security. This holistic approach ensures that contemporary healthcare practices benefit from AI's capabilities while upholding core values. |
format | Online Article Text |
id | pubmed-10655932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-106559322023-10-18 Nursing in the Artificial Intelligence (AI) Era: Optimizing Staffing for Tomorrow Nashwan, Abdulqadir J Abujaber, Ahmad A Cureus Other Amid the global nursing shortage, artificial intelligence (AI) offers a solution to align patient needs with nursing expertise, ensuring equitable workload distribution. Highlighting the transformative potential of artificial intelligence in healthcare, this editorial underscores its revolutionary impact on nursing staffing. By leveraging AI, we can enhance patient outcomes and operational efficiency and reduce staff burnout. However, challenges like data security and job stability arise. It is pivotal to emphasize its optimal integration, engaging nurses in decision-making, rigorous training, and prioritizing data security. This holistic approach ensures that contemporary healthcare practices benefit from AI's capabilities while upholding core values. Cureus 2023-10-18 /pmc/articles/PMC10655932/ /pubmed/38021626 http://dx.doi.org/10.7759/cureus.47275 Text en Copyright © 2023, Nashwan et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Other Nashwan, Abdulqadir J Abujaber, Ahmad A Nursing in the Artificial Intelligence (AI) Era: Optimizing Staffing for Tomorrow |
title | Nursing in the Artificial Intelligence (AI) Era: Optimizing Staffing for Tomorrow |
title_full | Nursing in the Artificial Intelligence (AI) Era: Optimizing Staffing for Tomorrow |
title_fullStr | Nursing in the Artificial Intelligence (AI) Era: Optimizing Staffing for Tomorrow |
title_full_unstemmed | Nursing in the Artificial Intelligence (AI) Era: Optimizing Staffing for Tomorrow |
title_short | Nursing in the Artificial Intelligence (AI) Era: Optimizing Staffing for Tomorrow |
title_sort | nursing in the artificial intelligence (ai) era: optimizing staffing for tomorrow |
topic | Other |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655932/ https://www.ncbi.nlm.nih.gov/pubmed/38021626 http://dx.doi.org/10.7759/cureus.47275 |
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