Background Residents from diverse specialties perform clinical rotations in the emergency department (ED). There is little research about the value of the ED rotation for them. Objectives We sought to determine the learning objectives of non-EM residents (NEMRs) in the ED, the effectiveness of the rotation, and the highest-yield components of their experience. Methods From 2017-2019, we surveyed NEMR on their pre-rotation learning objectives and their comfort level with 15 common ED presentations/procedures before and after the rotation. We assessed how well their objectives were met, the highest-yield components of their rotation, and opportunities for improvement. Results We collected responses from 56 (47%) pre-rotation and 61 (51%) post-rotation residents over a two-year period. The five most commonly cited learning goals were: management of acutely ill patients, triage skills, procedural competence, and ultrasound. Seventy-eight percent (78%) of residents reported their learning goals were moderately to very well met during their rotation. NEMRs' level of comfort improved in all the commonly encountered clinical experiences in the ED in a statistically significant manner. They cited on-shift teaching by attending physicians and senior EM residents as the most valuable learning resource. Conclusion NEMR from diverse medical and surgical specialties could identify specific learning objectives for their EM rotation with common themes, and the majority felt their educational goals were met. They gained comfort with the management and triage of all the assessed common ED conditions. By collecting and defining their specific needs and goals, we are better equipped to improve the quality and value of the rotation.
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http://dx.doi.org/10.7759/cureus.47284 | DOI Listing |
Int J Nurs Pract
February 2025
Public Health Nursing Department, Nursing Faculty, Akdeniz University, Antalya, Turkey.
Background: Work environments that support patient safety initiatives are important for quality service and patient outcomes. The relationship between the leadership behaviours of nurse managers and safety culture, which has the potential to support these initiatives, constitutes one of the most important knowledge gaps.
Objectives: The study aimed to determine the relationship between nurses' perceived leadership behaviours and hospital safety culture and the factors affecting them.
Sci Rep
January 2025
Departments of Breast Surgery, First Affiliated Hospital, Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China.
The impact of mitochondrial and lysosomal co-dysfunction on breast cancer patient outcomes is unclear. The objective of this study is to develop a predictive machine learning (ML) model utilizing mitochondrial and lysosomal co-regulators in order to provide a foundation for future studies focused on breast cancer (BC) patients' stratification and personalized interventions. Firstly, Differences and correlations of mitochondrial and lysosome related genes were screened and validated by differential analysis, copy number variation (CNV), single nucleotide polymorphism (SNPs) and correlation analysis.
View Article and Find Full Text PDFSci Data
January 2025
Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100091, China.
The vegetation index is a key satellite-based variable used to monitor global vegetation distribution and growth. However, existing vegetation index datasets face limitations in achieving both high spatial and temporal resolution, restricting their application potential. This study revised a machine learning spatiotemporal fusion model (InENVI) to produce a high-resolution NDVI dataset with 8-day temporal and 30 m spatial resolution, covering China from 2001 to 2020.
View Article and Find Full Text PDFInt Dent J
January 2025
Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China; Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong Special Administrative Region, China. Electronic address:
Objectives: Periodontal disease is a significant public health concern among older adults due to its relationship with tooth loss and systemic health disease. However, there are numerous barriers that prevent older adults from receiving routine dental care, highlighting the need for innovative screening tools at the community level. This pilot study aimed first, to evaluate the accuracy of GumAI, a new mHealth tool that uses AI and smartphones to detect gingivitis, and the user acceptance of personalized oral hygiene instructions provided through the new tool, among older adults in day-care community centers.
View Article and Find Full Text PDFUltrasound Med Biol
January 2025
Department of Circulation and Medical Imaging, Norwegian University of Science and Technology - NTNU, Trondheim, Norway; Health Research, SINTEF, Trondheim, Norway.
Objective: To develop and compare methods to automatically estimate regional ultrasound image quality for echocardiography separate from view correctness.
Methods: Three methods for estimating image quality were developed: (i) classic pixel-based metric: the generalized contrast-to-noise ratio (gCNR), computed on myocardial segments (region of interest) and left ventricle lumen (background), extracted by a U-Net segmentation model; (ii) local image coherence: the average local coherence as predicted by a U-Net model that predicts image coherence from B-mode ultrasound images at the pixel level; (iii) deep convolutional network: an end-to-end deep-learning model that predicts the quality of each region in the image directly. These methods were evaluated against manual regional quality annotations provided by three experienced cardiologists.
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