Background: The integration of artificial intelligence (AI) into education has the potential to revolutionize teaching and learning practices, especially in nursing education, which combines theoretical and practical knowledge. However, challenges such as infrastructural limitations, ethical considerations, and a lack of educator preparedness hinder its widespread adoption in settings with limited access to technology, insufficient funding, and inadequate training opportunities for educators. Aims: This study explores nursing educators’ perspectives on integrating AI into academic settings. Methods: Using the Technological Pedagogical Content Knowledge framework, this qualitative study employed a phenomenological approach to understand nursing educators’ lived experiences. Data were collected through 14 semistructured interviews and three focus group discussions with 16 participants from three nursing colleges in Bangladesh. Thematic analysis was conducted to identify key insights and trends. Results: Nursing educators recognized the potential of AI tools, such as adaptive learning platforms, virtual simulations, and predictive analytics, to enhance teaching efficiency, personalize learning, and engage students. However, barriers such as insufficient training, infrastructural challenges, and ethical concerns related to data privacy, algorithmic bias, and AI-driven decision making were highlighted. Thematic analysis revealed five major themes: (1) perceived benefits of AI, (2) barriers to AI integration, (3) ethical considerations in AI use, (4) educator readiness and adaptation, and (5) AI as a tool for personalized learning. Many educators expressed a need for professional development and institutional support to effectively integrate AI technologies. Strategies for overcoming these challenges included targeted training programs, ethical guidelines, and addressing disparities in resource distribution. Conclusions: AI holds transformative potential for nursing education, offering opportunities to enhance teaching and learning. However, its effective integration requires addressing educators’ readiness, ethical challenges, and resource limitations. These findings underscore the importance of equipping nursing educators with the necessary competencies to prepare future nurses for AI-enhanced clinical environments, thereby bridging education with evolving healthcare practice.

Epidemiology of non-transported emergency medical services calls in Saudi Arabia

Introduction: This systematic review provides the first comprehensive synthesis of empirical studies on Artificial Intelligence (AI) integration in nursing education, offering actionable insights for nurse educators and clinical leaders. It highlights how AI transforms learning environments by enhancing personalization, feedback, and instructional efficiency. Aims: To examine how AI is applied across nursing education settings and its impact on learning outcomes. Methods: A systematic search of PubMed, CINAHL, IEEE Xplore, and Scopus identified peer-reviewed studies published from January 2010 to April 2025. Eligible studies focused on empirical AI applications in academic, clinical, or hybrid nursing education contexts. Studies were appraised using the Critical Appraisal Skills Programme (CASP) checklist, and findings were synthesized thematically. Results: Twenty-eight studies met the inclusion criteria. AI-enhanced nursing education in four main areas: (a) personalized learning systems tailored content to individual needs, (b) simulation-based training improved decision-making in high-acuity scenarios,(c) automated assessment tools provided immediate, unbiased feedback, and (d) at the institutional level, AI supported curriculum management and predictive analytics. Common risks included technological inequities, faculty preparedness gaps, and ethical concerns around privacy and bias. Conclusion: To support implementation, this study recommends: (a) integrating AI-powered simulation into emergency care training, (b) deploying adaptive platforms to support at-risk learners, and (c) using automated tools for real-time formative feedback. Diagnostic accuracy is proposed as a measurable outcome to assess impact. The next step for educators is to initiate multi-site pilot programs over 6–12 months, evaluating improvements in learning outcomes, trust, and system integration.

Purpose: The pandemic makes everyone alert, including nurses who are in emergency rooms at community health centers, the importance of their experiences is a lesson for nurses to maintain themselves and be effectivein providing services. This study aimed to explore the experience of nurses who are in emergency rooms at rural area during the coronavirus disease pandemic. Methods: This qualitative research was conducted based on the Nvivo 12 analysis method using in-depth semistructured interviews. Data saturation was reached after 20 interviews were completed. Data collection lasted for 1 month from February to March 2020. Results: Semistructured interviews with 20 nurse participants obtained the following participant characteristics. Eight participants were males and 12 were females with an age ranged from 28 to 43 years (average age 36.4 years). The majority had vocational education (75%), with long experience that ranged from 5 to 15 years (average 11 years). The findings of four themes and seven subthemes. The theme of the findings is Expressions of care, Compliance increases using Personal Protective Equipment (PPE), Focus to refer to, Triage at the forefront. Conclusion: This research reveals that Expressions of care, Compliance increases using PPE, Focus to refer to, Triage at the forefront is the main theme identified in this study. Further investigation of the readiness of nurses in handling patients in the emergency room is considered to be of benefit to the results of this study.

Objective: This study aims to increase understanding of the process of nursing students at risk of completing suicide attempts that facilitates the transition from suicidal ideation to action. And The Central Bureau of Statistics, there were 812 suicide cases throughout Indonesia. Methods: The qualitative research involved 15 nursing students who were selected purposively. data collection in rural East Java Data were collected through semi-structured interviews and analyzed using the Colaizzi phenomenological method. Results: We identified six main themes; 1 (the dimension of individual history). 2 (socio-cultural dimension) describes the problems experienced by nursing students on campus and off campus. 3 (interpersonal dimension). 4 (intrapersonal dimension); Factors of family conflict, peer conflict, and psychiatric and/or medical disorders. 5 (emotional dimension). 6. (be a good listener). Conclusion: The intrapersonal element is the most influential catalyst in the progression from suicidal ideation to action. As prospective targets for preventive interventions and practices with nursing students at risk of suicide, our findings suggest the need for specific measures addressing freshman recruitment during selection for faculty, emotional dysregulation, and feelings of invalidity and entrapment. Nursing students need intrapersonal training. Being a good listener for all students, lecturers and staff is important to create a support system for suicide prevention in the nursing environment.