Articles: critical-care.
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Acta Anaesthesiol Scand · Oct 2024
Frailty and health-related life quality in long-term follow up of intensive care patients above 65 years old: Protocol for a Norwegian prospective, observational multicenter study.
Frailty is strongly correlated with mortality in intensive care unit patients, yet routine screening among intensive care patients is rarely performed. The aim of this study is to assess frailty and health-related quality of life (HRQoL) in patients before intensive care admission and to compare this with outcomes after 3 and 12-months. The Clinical Frailty Scale and EQ-5D-5L will be used to assess frailty and HRQoL, respectively. ⋯ The study is registered in ClinicalTrials.gov NCT06012942. Protocol version 2.7.1, 19.05.2023.
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Generative artificial intelligence and large language models are the continuation of a technological revolution in information processing that began with the invention of the transistor in 1947. These technologies, driven by transformer architectures for artificial neural networks, are poised to broadly influence society. ⋯ In this article, I discuss the principal limitations to the use of generative artificial intelligence in medical education-hallucination, bias, cost, and security-and suggest some approaches to confronting these problems. Additionally, I identify the potential applications of generative artificial intelligence to medical education, including personalized instruction, simulation, feedback, evaluation, augmentation of qualitative research, and performance of critical assessment of the existing scientific literature.
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As staff shortage in intensive care medicine increases, sustainable recruitment and retention of qualified professionals becomes increasingly crucial. Current surveys indicate that sufficient onboarding is a key element to success in this context. ⋯ This paper was developed under the leadership of the Junge DIVI, a multidisciplinary and multiprofessional initiative of young professionals, within the German Interdisciplinary Association of Critical Care and Emergency Medicine (DIVI). It was based on a systematic literature research and consensus-building among various professional groups and disciplines, offering - for the first time - uniform, standardized, practical guidance for implementing structured onboarding for different professionals in intensive care units in Germany.