Clinical Reasoning Needs to Be Explicitly Addressed in Health Professions Curricula: Recommendations from a European Consortium.

Clinical reasoning entails the application of knowledge and skills to collect and integrate information, typically with the goal of arriving at a diagnosis and management plan based on the patient's unique circumstances and preferences. Evidence-informed, structured, and explicit teaching and assessment of clinical reasoning in educational programs of medical and other health professions remain unmet needs. We herein summarize recommendations for clinical reasoning learning objectives (LOs), as derived from a consensus approach among European and US researchers and health professions educators.

Clinical implementation of artificial intelligence-driven cone-beam computed tomography-guided online adaptive radiotherapy in the pelvic region.

Background And Purpose: Studies have demonstrated the potential of online adaptive radiotherapy (oART). However, routine use has been limited due to resource demanding solutions. This study reports on experiences with oART in the pelvic region using a novel cone-beam computed tomography (CBCT)-based, artificial intelligence (AI)-driven solution.

Outcome after red trauma alarm at an urban Swedish hospital: implications for prevention.

Aims: We applied the new injury severity scoring system and studied mechanisms of injury and risk factors for mortality, in order to find potential preventive measures, in the present Scandinavian trauma cohort triaged through red trauma alarm according to the Medical Emergency Triage and Treatment System.

Methods: Individuals were identified in hospital and forensic records. New injury severity scoring system >15 was defined as major trauma.

Understanding the complex needs of automotive training at final assembly lines.

Automobile final assembly operators must be highly skilled to succeed in a low automation environment where multiple variants must be assembled in quick succession. This paper presents formal user studies conducted at OPEL and VOLVO Group to identify assembly training needs and a subset of requirements; and to explore potential features of a hypothetical game-based virtual training system. Stakeholder analysis, timeline analysis, link analysis, Hierarchical Task Analysis and thematic content analysis were used to analyse the results of interviews with various stakeholders (17 and 28 participants at OPEL and VOLVO, respectively).

Risk factors for infections with extended-spectrum beta-lactamase-producing Escherichia coli in a county of Southern Sweden.

Background: It is important to identify patients who are at risk for infections with extended-spectrum β-lactamase (ESBL)-producing bacteria in order to reduce mortality, to avoid spread of resistant bacteria in hospitals, and to minimize the number of patients receiving unnecessary treatment with broad-spectrum antibiotics. A case-control survey among Swedish patients was performed at Skåne University Hospital to identify risk factors for developing an infection with ESBL-producing Escherichia coli in a low endemic country.

Methods: We used a computerized database to identify patients with growth of ESBL-producing E.