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「看護師の臨床推論、個人能力だけでなく組織文化や技術環境が大きく影響と判明」の検索結果

168 件中 10 件を表示 (3829 ms) · ⭐ 保存した論文

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("clinical reasoning"[MeSH] OR "clinical judgment" OR "diagnostic reasoning") AND (nurses[MeSH] OR nursing OR "nurse practitioners"[MeSH]) AND ("organizational culture"[MeSH] OR "workplace culture" OR "institutional culture" OR "technology" OR "work environment" OR "practice environment")

💡 看護師の臨床推論に影響する個人要因・組織文化・技術環境の複合的要素を包括的に検索

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  • [From Sensing to Decision: Leveraging Technology to Enhance Nursing Clinical Judgment].

    Yen-Chin Chen, Chun-Yin Yeh · Hu li za zhi The journal of nursing · 2026

    With the rapid integration of Artificial Intelligence (AI), the Internet of Things, and sensing technologies into healthcare, the nursing frontline is undergoing a structural transformation from "sensory-driven" to "data-driven" practice. Tools such as wearable sensors, generative AI, and remote monitoring systems enable the real-time and continuous acquisition of physiological data. However, the …

    📄 PubMed で読む (PMID: 42532814)
  • RETRACTED: Evaluating Nurse Practitioner Students' Engagement with Isabel: Enhancing Diagnostic Confidence Through AI Integration in Education.

    Wai Hang Kwok, Nilufeur McKay, Peter Palamara 他 · Studies in health technology and informatics · 2025

    This article has been withdrawn from publication at the request of the corresponding author.

    📄 PubMed で読む (PMID: 41235498)
  • [Intensive care and nursing--monitoring technology and clinical judgment].

    A Obstfelder · Tidsskriftet sykepleien · 1997

    📄 PubMed で読む (PMID: 9456867)
  • Teaching clinical vigilance in technology-mediated care: Rethinking deterioration recognition in nursing education.

    John Paulo C Pineda, Jeffrey V Esteron · Nurse education today · 2026

    Recognizing patient deterioration remains a central concern in nursing education and patient safety. Students are commonly taught to identify abnormal observations, interpret cues, apply early warning tools, and escalate according to protocol. These approaches are necessary, but they can unintentionally present deterioration as a sequence of discrete cues waiting to be detected by an individual le…

    📄 PubMed で読む (PMID: 42804973)
  • The Technologies, Applicability, and Trade-Offs of AI in Palliative Care for Older Adults: Scoping Review.

    Lei Huang, Menglu Xu, Ying Yang 他 · Journal of medical Internet research · 2026

    The rapid advancement of AI has introduced new opportunities for palliative care. However, its context-specific applicability and the trade-offs related to it use for older adults with multimorbidity, functional decline, and complex care needs remain unclear. This review aimed to characterize the applicability of AI in palliative care for older adults and synthesize its potential benefits and limi…

    📄 PubMed で読む (PMID: 42684272)
  • An Electronic Health Record-Integrated, Large Language Model-Powered Tool to Triage Surgical Patients.

    Jane Wang, Timothy Keyes, April S Liang 他 · JAMA network open · 2026

    Surgical comanagement (SCM) is an evidence-based care model in which hospitalists jointly manage medically complex perioperative patients alongside surgical teams. Despite its clinical and financial value, effective use of SCM is limited by the need to manually identify eligible patients; large language models (LLMs) are increasingly prevalent in clinical workflows and could be useful in selecting…

    📄 PubMed で読む (PMID: 42623072)
  • Exploring the conceptual history of validity in nursing diagnoses: A Koselleckian perspective.

    Marcos Venicios de Oliveira Lopes, Viviane Martins da Silva · International journal of nursing knowledge · 2026

    PurposeThis purpose of this article was to use the method of conceptual history to analyze the evolution of the concept of "validity" in nursing diagnoses and to identify key transformations, theoretical influences, and implications for contemporary clinical judgment and decision-making.MethodsFive stages derivate from the approach proposed by Reinhart Koselleck, including: identify the concept an…

    📄 PubMed で読む (PMID: 42529993)
  • Emerging Technologies in Oncology Nursing: Integrating Informatics Competencies to Advance Safe, High-Quality, and Compassionate Care.

    MaryAnn Connor, Olga Kagan · Seminars in oncology nursing · 2026

    To describe the rapid evolution of emerging digital technologies in oncology nursing and clarify the essential informatics competencies required by oncology nurses to advance safe, high-quality, and compassionate care across the cancer continuum. A narrative review of use cases from peer-reviewed literature, national workforce policy documents, and professional nursing frameworks as they relate to…

    📄 PubMed で読む (PMID: 42509100)
  • AI Utilization and Clinical Judgment: Predictors of Caring Behavior Among Nursing Students.

    Mohammed Bien M Kulintang, Andrew D Ngo · The Journal of nursing education · 2026

    Nursing education requires integrating technology, clinical reasoning, and compassionate care. As artificial intelligence (AI) utilization expands, its role in shaping compassionate care in nursing education remains unclear. This study examined AI utilization and clinical judgment as predictors of caring behavior among nursing students. This cross-sectional study involved 395 undergraduate nursing…

    📄 PubMed で読む (PMID: 42348921)
  • Enhancing Clinical Judgment and Informatics Skills in Nursing Through Multimodal Case-Based Learning.

    Kaitlyn Picard, Jennifer Zugnoni · Nursing education perspectives · 2026

    Our innovative program-wide initiative addresses clinical judgment and informatics skills in new graduate nurses. We created immersive learning environments that bridge informatics and clinical judgment by merging case-based learning with health care technologies. We used three digital platforms - a medical record template, simulated monitor, and academic electronic medical record - to facilitate …

    📄 PubMed で読む (PMID: 42135888)