Artificial intelligence transforming healthcare and nursing: A comprehensive bibliometric analysis

Artificial intelligence (AI) is revolutionizing healthcare and nursing by enhancing decision-making, streamlining processes, and improving patient outcomes. This bibliometric analysis explores the evolving landscape of AI applications in healthcare and nursing, highlighting key research trends, influential publications, and emerging technologies. The study examines the integration of AI tools, such as machine learning, natural language processing, and predictive analytics, in areas like disease diagnosis, personalized treatment, patient monitoring, and administrative efficiency. It also investigates the role of AI in nursing practice, emphasizing its potential to support clinical decision-making, optimize care delivery, and alleviate workforce challenges. By analyzing a vast corpus of scholarly publications, this study identifies pivotal themes, prominent authors, and leading institutions driving AI innovation in healthcare. Key findings reveal an exponential growth in research output, particularly in leveraging AI for chronic disease management, telemedicine, and predictive risk modeling. Ethical considerations, including data privacy, algorithmic bias, and patient safety, emerge as critical focal points, underscoring the need for robust frameworks to ensure responsible AI adoption. Furthermore, the study highlights interdisciplinary collaboration as a cornerstone for successful AI integration, bridging the gap between technological advancements and clinical practice. Despite its transformative potential, challenges such as skill gaps, resistance to change, and resource constraints remain barriers to widespread AI adoption in healthcare and nursing. This comprehensive analysis provides valuable insights for researchers, practitioners, and policymakers, offering a roadmap for leveraging AI to address current and future healthcare challenges. The findings underscore the transformative role of AI in reshaping healthcare delivery, enhancing nursing practice, and ultimately improving patient care on a global scale. By synthesizing current knowledge and identifying future directions, this study contributes to advancing the understanding of AI’s impact on healthcare and nursing, paving the way for more efficient, equitable, and patient-centered care systems.

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Publication Details

Journal
Multidisciplinary Reviews
Published
2025-03-17
DOI
https://doi.org/10.31893/multirev.2025267
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence transforming healthcare and nursing: A comprehensive bibliometric analysis

Priya Rewatkar, Kavita Gomase, Pallavi Dhole, Indu Alwadkar et al.
Multidisciplinary Reviews
Artificial Intelligence in Healthcare and Education
article

Artificial intelligence transforming healthcare and nursing: A comprehensive bibliometric analysis

Priya Rewatkar, Kavita Gomase, Pallavi Dhole, Indu Alwadkar, Vaishali Balpande
article en

Abstract

Artificial intelligence (AI) is revolutionizing healthcare and nursing by enhancing decision-making, streamlining processes, and improving patient outcomes. This bibliometric analysis explores the evolving landscape of AI applications in healthcare and nursing, highlighting key research trends, influential publications, and emerging technologies. The study examines the integration of AI tools, such as machine learning, natural language processing, and predictive analytics, in areas like disease diagnosis, personalized treatment, patient monitoring, and administrative efficiency. It also investigates the role of AI in nursing practice, emphasizing its potential to support clinical decision-making, optimize care delivery, and alleviate workforce challenges. By analyzing a vast corpus of scholarly publications, this study identifies pivotal themes, prominent authors, and leading institutions driving AI innovation in healthcare. Key findings reveal an exponential growth in research output, particularly in leveraging AI for chronic disease management, telemedicine, and predictive risk modeling. Ethical considerations, including data privacy, algorithmic bias, and patient safety, emerge as critical focal points, underscoring the need for robust frameworks to ensure responsible AI adoption. Furthermore, the study highlights interdisciplinary collaboration as a cornerstone for successful AI integration, bridging the gap between technological advancements and clinical practice. Despite its transformative potential, challenges such as skill gaps, resistance to change, and resource constraints remain barriers to widespread AI adoption in healthcare and nursing. This comprehensive analysis provides valuable insights for researchers, practitioners, and policymakers, offering a roadmap for leveraging AI to address current and future healthcare challenges. The findings underscore the transformative role of AI in reshaping healthcare delivery, enhancing nursing practice, and ultimately improving patient care on a global scale. By synthesizing current knowledge and identifying future directions, this study contributes to advancing the understanding of AI’s impact on healthcare and nursing, paving the way for more efficient, equitable, and patient-centered care systems.

Multidisciplinary ReviewsVol. 8(9)
Datta Meghe Institute of Higher Education and Research (IN), Nightingale Hospital (IN)
Openalex Percentile: Top 96%
Artificial Intelligence in Healthcare and Education
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