Assessing competency of medical students in recognizing life-threatening conditions is an important consideration when deciding to implicate medical students in practice. In the UK as an example, students are expected to work in the field of their competency and willingness after their graduation however, emergency department is the place most in need to these new graduates. With the emergence of the novel coronavirus disease 2019 (COVID-19) outbreak, several countries have rushed their final-year medical students into the field to compensate for the shortage in medical doctors working in the emergency department. While recent advances in machine learning technologies showed promises in accuracy of detecting pathologies and extracting data from different imaging modalities, several challenges in implementing these automatic systems in clinical practice still exist. A previous report showed how accurate X-ray reporting in emergency department (ED) improved management of patients triage and reduced false-negative diagnoses. Senior Jordanian medical students showed good knowledge with high confidence levels in diagnosing life-threatening conditions on chest x-rays, supporting their incorporation in the emergency department during pandemics and confirming the reliability of information they can extract.Ĭhest X-ray imaging in the emergency department remains trivial in determining the pathology and triaging management, especially in high-load services. Answers related to tension pneumothorax had the highest confidence level. Regarding self-confidence for each question, 338 participants (63.8%) reported very high overall self-confidence level. Pneumoperitoneum was the highest correct answer (93.8%), whereas flail chest was the least correctly answered case with only 310 (58.5%) correct answers. All participants answered at least six out of seven questions correctly, out of them, 139 (26.2%) participants answered all questions correctly. For each X-ray, participants were asked to choose the most likely diagnosis, and to grade the degree of self-confidence regarding the accuracy of their answer in a score from 0 (not confident) to 10 (very confident). Through an electronic questionnaire, participants were sequentially shown a total of six abnormal X-rays and one normal. This is a cross-sectional nationwide survey across all medical schools in Jordan. In this study, we aim to assess the knowledge and accuracy of undergraduate final-year medical students in diagnosing life-threatening emergency conditions on chest x-ray. The accuracy of diagnosing critical findings on X-rays by senior medical students is not well assessed. Due to the recently emerging shortage in medical staff during the novel corona virus pandemic, several countries have rushed their undergraduate medical students into the emergency department.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |