This study investigated future medical specialists' objectives of further qualification, their intention, and their decision to establish a practice. Data of 5,053 young physicians, obtained from five German Federal Chambers of Physicians, were analyzed. Data included sociodemographic variables, intended area of specialization, intention, and aspects relevant to the establishment of a practice. Based on preliminary studies, 18 questions were broken down into six factors. The relevance of each of these factors in the decision to establish a practice was analyzed from a gender perspective. Both female and male physicians prioritized general medicine and internal medicine. In addition, female physicians preferred pediatrics and gynecology, while male physicians more frequently chose surgery. Women view professional cooperation opportunities, framework conditions for their family, and job-related commitments as important factors in their decision to establish a practice; quality of life, financial and working conditions are more important to men. The results point out gender-specific approaches which are of relevance for planning medical specialty training.
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http://dx.doi.org/10.1007/s00103-011-1397-8 | DOI Listing |
BMC Nurs
January 2025
Nursing Department, Hamad Medical Corporation, Doha, P.O. Box 3050, Qatar.
Background: Artificial Intelligence (AI) is increasingly applied in healthcare to boost productivity, reduce administrative workloads, and improve patient outcomes. In nursing, AI offers both opportunities and challenges. This study explores nurses' perspectives on implementing AI in nursing practice within the context of Jordan, focusing on the perceived benefits and concerns related to its integration.
View Article and Find Full Text PDFRev Clin Esp (Barc)
January 2025
Servicio de Medicina Interna, Hospital Universitario General de Valencia; Grupo de trabajo de Insuficiencia Cardíaca yFibrilación Auricular de la SEMI (ICYFA), Spain. Electronic address:
This document provides a comprehensive analysis of the use of point-of-care ultrasound in heart failure (HF), offering detailed recommendations on echocardiography, lung ultrasound, and venous ultrasound. These advanced imaging techniques allow for an accurate, detailed, and non-invasive evaluation of heart failure, facilitating rapid and effective clinical decision-making. Echocardiography enables a rapid assessment of cardiac function at the point of care, enhancing traditional physical examination and being essential for the management of heart failure (HF).
View Article and Find Full Text PDFSemin Pediatr Surg
January 2025
Swiss Pediatric Liver Center, Geneva University Hospitals, Geneva, Switzerland; Division of Child and Adolescent Surgery, Department of Pediatrics, Gynecology, and Obstetrics, Geneva University Hospitals, University of Geneva, Geneva, Switzerland.
Cholangitis, defined as the inflammation of the bile ducts, is the most frequent complication after Kasai hepatoportoenterostomy in patients with biliary atresia (BA). This review seeks to provide a comprehensive synthesis of current knowledge on diagnosing and managing BA-associated cholangitis while identifying gaps in the existing literature. A scoping literature review was conducted to gather global insights into the definition, evaluation, and management of post-Kasai cholangitis, illustrated through data from the Swiss Biliary Atresia Registry (SBAR).
View Article and Find Full Text PDFInt J Med Inform
January 2025
World Health Organization Headquarters Switzerland.
Background: This paper addresses the importance of timely and robust information systems that underpin emergency response decision-making, as evidenced during the COVID-19 pandemic in the WHO European Region. Recognizing the relevance of these systems, we propose the strengthening of national emergency response information management systems (ERIMS) within the broader digital health information system (HIS) framework. We aim to develop and present an innovative assessment tool designed to evaluate and assist in the strengthening of ERIMS, contributing to a more resilient and effective emergency response.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Department of Cardiology, Royal North Shore Hospital, Sydney, NSW, Australia.
Objective: We aimed to develop a highly interpretable and effective, machine-learning based risk prediction algorithm to predict in-hospital mortality, intubation and adverse cardiovascular events in patients hospitalised with COVID-19 in Australia (AUS-COVID Score).
Materials And Methods: This prospective study across 21 hospitals included 1714 consecutive patients aged ≥ 18 in their index hospitalization with COVID-19. The dataset was separated into training (80%) and test sets (20%).
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