Artificial Intelligence in Nursing: applications, challenges and future directions

Introduction: the digital transformation, which is happening at great speed, has had an impact on all sectors of society and requires nursing to rethink its professional practices, value ongoing training and actively participate in the ethical and contextualized development of these technologies.Objective: to analyze the influence of Artificial Intelligence in Nursing, highlighting its transformative potential in the fields of education, practice and care management. Method: a search was carried out in databases and a critical-reflective analysis of the articles found was performed.Results: artificial Intelligence enables the automation of tasks, predictive data analysis and clinical decision support, contributing to more efficient and person-centered care. However, its integration raises ethical, legal and training challenges, requiring digital literacy and critical reflection. The importance of nurses' active participation in the development, implementation and evaluation of these technologies is highlighted, as well as the need for curricular reform in higher education. The creation of specific training platforms could support the continuous training of professionals. Conclusion: the healthcare institutions must define clear guidelines for the use of Artificial Intelligence, recognizing it as a complementary tool to human work. The critical discernment of nurses is essential to ensure ethical and person-centered use.

Authors

Institutions

Publication Details

Journal
Gamification and Augmented Reality.
Published
2025-04-27
DOI
https://doi.org/10.56294/gr2025113
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence in Nursing: applications, challenges and future directions

Ricardo Mestre, Maria Leonor Carvalho, João Tomás, Luís Sousa et al.
Gamification and Augmented Reality.
Artificial Intelligence in Healthcare and Education
article

Artificial Intelligence in Nursing: applications, challenges and future directions

Ricardo Mestre, Maria Leonor Carvalho, João Tomás, Luís Sousa, Helena José, Sandy Severino
article en

Abstract

Introduction: the digital transformation, which is happening at great speed, has had an impact on all sectors of society and requires nursing to rethink its professional practices, value ongoing training and actively participate in the ethical and contextualized development of these technologies.Objective: to analyze the influence of Artificial Intelligence in Nursing, highlighting its transformative potential in the fields of education, practice and care management. Method: a search was carried out in databases and a critical-reflective analysis of the articles found was performed.Results: artificial Intelligence enables the automation of tasks, predictive data analysis and clinical decision support, contributing to more efficient and person-centered care. However, its integration raises ethical, legal and training challenges, requiring digital literacy and critical reflection. The importance of nurses' active participation in the development, implementation and evaluation of these technologies is highlighted, as well as the need for curricular reform in higher education. The creation of specific training platforms could support the continuous training of professionals. Conclusion: the healthcare institutions must define clear guidelines for the use of Artificial Intelligence, recognizing it as a complementary tool to human work. The critical discernment of nurses is essential to ensure ethical and person-centered use.

Gamification and Augmented Reality.Vol. 3
Atlântica Instituto Universitário (PT)
Openalex Percentile: Top 94%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Artificial Intelligence in Nursing: applications, challenges and future directions — Ricardo Mestre, Maria Leonor Carvalho, et al. · Gamification and Augmented Reality. (2025) | TGRS Research Map | TGRS