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「看護・助産教育での没入型シミュレーション、学習成果との関連は」の検索結果

464 件中 10 件を表示 (4405 ms) · ⭐ 保存した論文

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("Nursing Education"[MeSH] OR "Nurse Midwives/education"[MeSH] OR midwifery education) AND ("Simulation Training"[MeSH] OR immersive simulation OR virtual reality OR VR OR augmented reality) AND (learning outcomes OR educational outcomes OR competency OR performance)

💡 看護・助産教育、没入型シミュレーション、学習成果の3要素をANDで結合。同義語をORで展開し包括的に検索

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🔍 PubMed の検索結果

  • Simulation-based learning in nurse education: systematic review.

    Robyn P Cant, Simon J Cooper · Journal of advanced nursing · 2010

    This paper is a report of a review of the quantitative evidence for medium to high fidelity simulation using manikins in nursing, in comparison to other educational strategies. Human simulation is an educational process that can replicate clinical practices in a safe environment. Although endorsed in nursing curricula, its effectiveness is largely unknown. A systematic review of quantitative studi…

    📄 PubMed で読む (PMID: 20423432)
  • The effect of simulation-based learning on nursing students' clinical decision-making skills: Systematic review and meta-analysis.

    Selçuk Görücü, Gülengün Türk, Zekiye Karaçam 他 · Nurse education today · 2024

    Simulation-based education methods improve nursing students' clinical decision-making skills. It allows students to experience situations they may not encounter in a real clinical environment. The aim of this systematic review was to better understand the effectiveness of simulation-based education on clinical decision-making skills in undergraduate nursing students. Meta-analysis of randomized co…

    📄 PubMed で読む (PMID: 38924975)
  • Use of simulation-based learning in undergraduate nurse education: An umbrella systematic review.

    Robyn P Cant, Simon J Cooper · Nurse education today · 2017

    To conduct a systematic review to appraise and review evidence on the impact of simulation-based education for undergraduate/pre-licensure nursing students, using existing reviews of literature. An umbrella review (review of reviews). Cumulative Index of Nursing and Allied Health Literature (CINAHLPlus), PubMed, and Google Scholar. Reviews of literature conducted between 2010 and 2015 regarding si…

    📄 PubMed で読む (PMID: 27902949)
  • Integration of Artificial Intelligence in Nursing Simulation Education: A Scoping Review.

    Maggie Mee Kie Chan, Abraham Wai Him Wan, Daphne Sze Ki Cheung 他 · Nurse educator · 2025

    Artificial intelligence (AI) integration in nursing simulation education is growing, yet understanding its implementation across simulation phases remains limited. To map AI applications across prebriefing, simulation, and debriefing phases in nursing simulation education. Following Arksey and O'Malley's framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension…

    📄 PubMed で読む (PMID: 40168182)
  • Obstetric emergency simulation.

    Shad Deering, Jennifer Rowland · Seminars in perinatology · 2013

    Simulation for obstetric emergencies has progressed from being a good idea in theory to the level of an evidence-based intervention that can improve outcomes. Though not a stand-alone solution, the inclusion of simulation for training individuals and teams to react and perform correctly when obstetric emergencies occur is a critical part of a comprehensive strategy to improve outcomes for both the…

    📄 PubMed で読む (PMID: 23721775)
  • Virtual reality simulation-enhanced blood transfusion education for undergraduate nursing students: A randomised controlled trial.

    Jung Jae Lee, Vivien Wai Yin Tsang, Maggie Mee Kie Chan 他 · Nurse education today · 2023

    Nurse-administered blood transfusion (BT) is a common form of medical treatment, but nursing students are often excluded from participating in and observing BTs during clinical placements. To address clinical placement limitations, nursing educators have increasingly adopted technology-guided simulation pedagogies, including virtual reality (VR) simulation, for nursing students' clinical skills ed…

    📄 PubMed で読む (PMID: 37467707)
  • Comparative Analysis of the Effectiveness of Performing Advanced Resuscitation Procedures Undertaken by Two- and Three- Person Basic Medical Rescue Teams in Adults under Simulated Conditions.

    Kamil Krzyżanowski, Daniel Ślęzak, Sebastian Dąbrowski 他 · International journal of environmental research and public health · 2021

    (1) Objective: Paramedics as a profession are a pillar of the State Medical Rescue system. The basic difference between a specialist and a basic team is the composition of members. The aim of the study was to benchmark the effectiveness of performing advanced resuscitation procedures undertaken by two- and three-person basic emergency medical teams in adults under simulated conditions. (2) Design:…

    📄 PubMed で読む (PMID: 33946551)
  • Practical approach.

    Jane Roberts, Gaynor Fenton · Emergency nurse : the journal of the RCN Accident and Emergency Nursing Association · 2010

    📄 PubMed で読む (PMID: 20527456)
  • The impact of clinical simulation on bridging the theory-practice gap in nursing education: a systematic review.

    Majid Daneshfar, Hossein Karimi Moonaghi · BMC medical education · 2025

    Bridging the gap between theoretical instruction and practical competence remains a central challenge in nursing education. Nursing students often struggle to transfer classroom-acquired knowledge into real-world clinical environments, resulting in decreased confidence, impaired decision-making, and compromised patient care. Clinical simulation has emerged as a promising pedagogical tool to addres…

    📄 PubMed で読む (PMID: 40877870)
  • Advancements in artificial intelligence transforming medical education: a comprehensive overview.

    Aliasghar Khakpaki · Medical education online · 2025

    Artificial intelligence (AI) is revolutionizing medical education by introducing innovative tools and reshaping traditional teaching and learning methods. AI technologies such as virtual and augmented reality, adaptive learning platforms, and AI-driven assessments are increasingly recognized for their potential to enhance diagnostic precision, clinical decision-making, and personalized learning ex…

    📄 PubMed で読む (PMID: 40798935)