The Swedish Parliament and Government has recently sanctioned a new 6 year undergraduate medical degree leading directly to license, followed by a 12 month introduction to work as a certified doctor. The undergraduate education is internationally harmonized and the 23 learning outcomes address competence needs in future Swedish and international health-care. Particular attention is given to professional competence, critical thinking, team-work and health promotion. All 23 learning outcomes must be documented before the University can issue a MD degree. After license, the doctor applies for a 12 month introduction to employment as doctor in the Swedish health-care system. This introduction is mandatory for all, regardless of the country where the license was issued. The introduction comprises clinical service in general medicine, emergency medicine and elective disciplines. Assessment of 10 learning outcomes is carried out in a formative wav by experienced and trained clinicians during the clinical service. After the introduction, the doctor is duly qualified to apply for specialist training.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Developing clinical reasoning along the cognitive continuum: a mixed methods evaluation of a novel Clinical Diagnosis Assessment.
BMC Med Educ
January 2025
Deakin Optometry, School of Medicine, Deakin University, 75 Pigdons Road, Waurn Ponds , VIC, 3216, Australia.
Background: Clinical reasoning is a professional capability required for clinical practice. In preclinical training, clinical reasoning is often taught implicitly, and feedback is focused on discrete outcomes of decision-making. This makes it challenging to provide meaningful feedback on the often-hidden metacognitive process of reasoning to address specific clinical reasoning difficulties.
View Article and Find Full Text PDFThe integrated teaching practice of medical cloud dictionary development and project-based learning.
BMC Med Educ
January 2025
The First Clinical Medicine School of Guangdong Pharmaceutical University, Guangdong, People's Republic of China.
Objective: This study examines a novel teaching model that integrates the development and use of a Medical Cloud Dictionary with project-based learning (PBL). We investigate whether this integrated approach improves teaching effectiveness, enhances student learning outcomes, and reduces teaching pressure compared to traditional PBL.
Methods: One hundred student volunteers were randomly assigned to an experimental group (n = 50) and a control group (n = 50).
The newborn behavioural observations (NBO) system embedded in routine postpartum care in at-risk families in Iceland: a randomised controlled trial.
BMC Pregnancy Childbirth
January 2025
Psychiatric team for prospecting parents and parents with young children, Primary health care in capital area, Reykjavik, Iceland.
Background: The Newborn Behaviour Observation system (NBO) is a flexible relationship-based intervention designed to sensitise parents to their newborn's capacities, to increase parental confidence and foster the bond between parent and infant. The aim of this study was to investigate the effects of an NBO intervention on maternal confidence during the first month postpartum, and on the quality of mother-infant interaction at infant age 4 months in a sample of mothers who exhibit elevated signs of distress or depression during pregnancy and/or describe prior experiences of mental health issues.
Method: Pregnant women with current emotional distress and/or a history of anxiety and depression were recruited from a healthcare centre in Reykjavik, between August 2016 and April 2018.
Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction.
BMC Med Imaging
January 2025
Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Problem: Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manmade visual details that are complex to generalize across ultrasound images utilizing distinct techniques.
View Article and Find Full Text PDFIdentification and validation of a metabolic-related gene risk model predicting the prognosis of lung, colon, and breast cancers.
Sci Rep
January 2025
Dr B R Ambedkar Center for Biomedical Research, University of Delhi, Delhi, 110007, India.
Metabolic reprogramming, vital for cancer cells to adapt to the altered microenvironment, remains a topic requiring further investigation for different tumor types. Our study aims to elucidate shared metabolic reprogramming across breast (BRC), colorectal (CRC), and lung (LUC) cancers. Leveraging gene expression data from the Gene Expression Omnibus and various bioinformatics tools like MSigDB, WebGestalt, String, and Cytoscape, we identified key/hub metabolism-related genes (MRGs) and their interactions.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!