Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Background: Errors are among the factors threatening patient safety. It is essential to understand how to deal with nursing errors in the emergency department. Thus, the present study aimed to explain the process of dealing with nursing errors in the emergency department.
Method: This qualitative study adopted Corbin and Strauss's (2008) grounded theory method. The data were collected by in-depth semi-structured interviews and field notes. Eighteen nurses, two doctors, and one patient companion participated in this study. The research setting was the emergency departments of five teaching hospitals in down tone of Tehran, Iran. The participants were selected by purposive sampling at first, and then by theoretical sampling.
Results: Following the data analysis, four main categories of "reality shock", "formulating a situational response", "reactive measure", and "progress or regress" were extracted. The data analysis showed that "formulating a situational response" is the core category of the process of dealing with errors among nurses in the study emergency departments. The first step in the process of dealing with errors in ED was the reality shock, then nurses entered the stage of formulating a situational response, after that they entered the stage of "reactive measure" and finally they entered the stage of progress or regress.
Discussion And Conclusion: After an error occurs in the emergency department, nurses experience four stages during the process of dealing with nursing errors. When dealing with an error, nurses think about protecting the patients. However, some contextual factors direct the nurses towards protecting themselves rather than the patient. The decision-makers in the healthcare system can modify these contextual factors, provide in-service training, develop anonymous reporting systems, and establish a positive support environment, thus directing the nurses towards supporting the patients (in addition to trying to protect oneself).
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.ienj.2021.101066 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Improvement of mask R-CNN and deep learning for defect detection and segmentation in electronic products.
PLoS One
September 2025
Symbiosis Institute of Technology, Symbiosis International University, Pune, India.
With the rapid development of industrial automation and intelligent manufacturing, defect detection of electronic products has become crucial in the production process. Traditional defect detection methods often face the problems of insufficient accuracy and inefficiency when dealing with complex backgrounds, tiny defects, and multiple defect types. To overcome these problems, this paper proposes Y-MaskNet, a multi-task joint learning framework based on YOLOv5 and Mask R-CNN, which aims to improve the accuracy and efficiency of defect detection and segmentation in electronic products.
View Article and Find Full Text PDFDealing with manuscript rejections in academic medicine: It takes two hands to clap.
J R Coll Physicians Edinb
September 2025
Division of Infectious Diseases, Department of Medicine, National University Hospital, Singapore, Singapore.
Academic publishing is increasingly prevalent in clinical training and practice, as part of the burgeoning field of academic medicine, where physicians are expected not only to perform their conventional clinical duties and responsibilities, but also increasingly have to engage in various forms of scholarly activities to contribute to evidence-based practice, as part of their key performance indicators. However, for physicians who are not trained as academics or scientists, the learning curve for scholarly endeavours can be steep and fraught with setbacks and rejections. Therefore, in this editorial article, we offer our perspectives as residents-in-training on the roles of both clinician-authors and journal editorial/peer review teams in facilitating healthy cognitive-emotional processing of unfavourable manuscript decisions in academic medicine.
View Article and Find Full Text PDFEpilepsyFM: A domain-specific foundation model for epileptic representation learning using EEG signals.
Neural Netw
September 2025
School of Automation, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China. Electronic address:
Epilepsy with its complex seizure mechanisms and diverse clinical manifestations, presents numerous challenges for clinical diagnosis and treatment, while electroencephalography (EEG) plays a crucial and irreplaceable role in its diagnosis. Although general-purpose foundation models have demonstrated some capability in knowledge processing, they still face challenges in capturing specific disease features and dealing with data scarcity in highly specialized domains such as epilepsy. To address these issues, we propose a domain-specific foundation model for epilepsy-EpilepsyFM, designed to learn generalized representations of epilepsy to support various downstream tasks.
View Article and Find Full Text PDFAI Agents in Clinical Medicine: A Systematic Review.
medRxiv
August 2025
The Windreich Department of Artificial Intelligence and Human Health, Mount Sinai Medical Center, NY, USA.
Background: AI agents built on large language models (LLMs) can plan tasks, use external tools, and coordinate with other agents. Unlike standard LLMs, agents can execute multi-step processes, access real-time clinical information, and integrate multiple data sources. There has been interest in using such agents for clinical and administrative tasks, however, there is limited knowledge on their performance and whether multi-agent systems function better than a single agent for healthcare tasks.
View Article and Find Full Text PDFFreshwater monitoring across the globe: the role of citizen science within the European Water Framework Directive (WFD) and the United Nations Sustainable Development Goals (SDGs), and opportunities to incentivize the collaboration with environmental regulators.
Open Res Eur
August 2025
CSGI - Consorzio Interuniversitario per lo Sviluppo dei Sistemi a Grande Interfase, Via della Lastruccia 3, 50019 Zona Osmannoro Firenze, Italy.
Citizen science plays a crucial role in advancing the objectives of the European Union's Water Framework Directive (WFD) and the United Nations Sustainable Development Goals (SDGs). Among the key strengths of citizen science is that it fills information gaps in the management and observation of aquatic ecosystems, especially small rivers that often lack national and sub-national agency monitoring. The present study explores opportunities and challenges of integrating citizen science data with those of Environmental Agencies.
View Article and Find Full Text PDF