ReviewFrontiers in medicine2025
Elevating surgical outcomes: a comprehensive analysis of innovative nursing practices in intraoperative care across diverse specialties.
Review in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Enhancing patient safety: factors influencing critical care nurses' intravenous sedation practices in mechanically ventilated patients.BMC nursing · 2026Article
- Intelligent technologies in operating room nursing: A bibliometric analysis of research.International journal of nursing studies advances · 2026Article
- Career Plateau Among Surgical Nurses: A Cross-Sectional Network Analysis.Journal of nursing management · 2026Article
- Reframing workplace safety, wellbeing, and performance among operating room nurses in contemporary healthcare systems.Frontiers in public health · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The landscape of surgical care is undergoing a profound transformation, driven by rapid advancements in technology and a persistent focus on enhancing patient outcomes. At the forefront of this evolution are innovative nursing practices within the intraoperative setting, which are proving instrumental in elevating patient safety, optimizing operational efficiency, and significantly reducing complications across a spectrum of surgical specialties. This report provides a comprehensive analysis of these cutting-edge nursing interventions from the foundational principles of perioperative care to the integration of advanced technologies such as Artificial Intelligence (AI), robotics, virtual reality, and personalized medicine. Perioperative nurses, traditionally recognized for their critical roles in maintaining sterile environments and advocating for patient wellbeing, are now embracing expanded responsibilities as technological integrators, data interpreters, and champions of evidence-based protocols such as Enhanced Recovery After Surgery (ERAS). The adoption of these innovative practices has led to demonstrable improvements, including shorter hospital stays, reduced opioid consumption, and decreased complication rates. However, the path to widespread adoption is not without its challenges, encompassing human factors such as resistance to change, organizational barriers such as insufficient resources, and technical complexities related to data accuracy and regulation. To fully harness the potential of innovative intraoperative nursing, healthcare organizations must strategically invest in continuous, accessible training programs that balance technological proficiency with core nursing judgment. Cultivating a culture that empowers nurse-led innovation, prioritizes human-centered technology design, and strengthens multidisciplinary collaboration is paramount. Furthermore, a commitment to evidence-based implementation and addressing health equity in technology access will ensure that advancements benefit all patients and that the nursing profession continues to thrive as a vital force in shaping the future of surgical care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.