Aug 2026· Journal of Medical & Clinical Nursing· Vol 7, pp. 1· 0 citations
TL;DR
It is concluded that digital transformation is needed for the development of a competent nursing workforce to meet the needs of twenty-first-century healthcare systems.
Abstract
The world-wide use of digital technologies has dramatically changed nursing education and the delivery of health care. As health care systems become increasingly complicated and technology dependent, nursing education must develop to educate graduates with the competences needed to perform effectively in today’s clinical settings. This review covers the integration of three emerging technologies such as e-learning, Artificial Intelligence (AI), and virtual reality (VR) in nursing education and clinical practice. E-learning has widened access to education by offering flexible, learner-centred, technology-enabled instructional methods supporting both synchronous and asynchronous learning. Artificial intelligence has brought about intelligent tutoring systems, adaptive learning platforms, predictive analytics, automated assessment and clinical decision-support systems that help in personalised learning and evidence-based patient care. Virtual reality has evolved as an effective simulation tool providing immersive and risk-free learning environments for nursing students to acquire psychomotor skills, clinical reasoning, communication and decision-making competences prior to interaction with real patients. These technologies collectively enhance learner engagement, knowledge retention, clinical competence, accessibility, and patient safety and promote lifelong learning among nurses. However, the broad adoption of e-Health and m-Health solutions is still hindered by constraints such as the lack of suitable digital infrastructure, costs of implementation, poor technology literacy, ethical issues, cybersecurity risks, and uneven access, especially in low- and middle-income countries. Based on recent literature, this review highlights the educational and clinical use of these technologies, addresses barriers to implementation, and offers solutions for their sustainable integration into nursing education and health care practice. The paper concludes that digital transformation is needed for the development of a competent nursing workforce to meet the needs of twenty-first-century healthcare systems.
The reviewed literature shows that simulation-based learning and virtual simulation are the most common approaches that can improve students’ clinical reasoning, knowledge retention, self-efficacy, confidence, and satisfaction.
Nanxiang Zhang· Curriculum and Teaching Meth...· 0 citations
In the context of digital disruption, nursing education requires approaches that integrate digital intelligence (DI) with professional competencies while addressing limitations of traditional simulation-based learning (SBL), which is often resource-intensive and constrained in large classes. This study developed and ev...
Prakob Koraneekij, Sresuda Wongwiseskul· Electronic Journal of e-Lear...· 0 citations
Recent technological developments have significantly transformed health professions education, promoting the integration of e-learning and simulation-based strategies for teaching clinical and procedural skills. In medical training, early acquisition of basic care procedures is often constrained by ethical consideratio...
BACKGROUND
Simulation-based education is central to nursing curricula but is resource-intensive, particularly when intended to support repeated, low-stakes practice. Artificial intelligence (AI) is increasingly explored as a strategy to extend simulation-based learning.
PROBLEM
Traditional simulation models limit lea...
Natalya Pasklinsky, Kristy Deyeso, Juan J. González et al.· Nurse Educator· 0 citations
Current evidence indicates that AI can support learning, clinical reasoning, documentation, patient monitoring, decision support, workflow efficiency, and personalized education; however, evidence from real-world nursing settings remains less mature than technological development.
Natasha Mohit Mahajan· International Journal of Nur...· 0 citations
Background The use of artificial intelligence (AI) and other data-driven technologies is changing how medical education and clinical teaching are conducted. The traditional model of learning will not allow us to keep up with the sheer amount of new knowledge being produced, the move to competency-based education, or th...
Ke-Xin Zhao, Ning-Ning Wang, Zhi-Cai Xie· Frontiers in Public Health· 1 citation
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