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Attracting nursing talent to the intensive care unit: A qualitative study on how to create an appealing work environment.
Intensive Crit Care Nurs
January 2025
Departament d'Infermeria Fonamental i Clínica, Faculty of Nursing, Universitat de Barcelona, Carrer de la Feixa Llarga, 08907, L'Hospitalet de Llobregat, Barcelona, Spain.
Introduction And Objective: The global shortage of nurses who want to work in the intensive care unit (ICU) is alarming, putting at risk quality of care and patient safety. With efforts put into engagement strategies, optimized recruitment programmes are scarce, specifically in the ICU setting. The aim of this study is to describe and explore ICU nurses' opinions on their work motivational factors that influenced the decision to work in the ICU setting.
View Article and Find Full Text PDFTracing the Origin, Spread, and Molecular Evolution of Dengue Type 1 Cases That Occurred in Northern Italy in 2023.
Pathogens
December 2024
Microbiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy.
The dengue virus (DENV) is a mosquito-borne flavivirus endemic to many tropical and subtropical regions. Over the past few decades, the global incidence of dengue has risen dramatically, with the virus now present in over 100 countries, putting nearly half of the world's population at risk. This increase is attributed to several factors, including urbanization, climate change, and global travel, which facilitate the spread of both the virus and its mosquito vectors.
View Article and Find Full Text PDFThe Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.
Health Sci Rep
January 2025
Department of Microbiology Dr D. Y. Patil Medical College, Hospital and Research Centre, Dr D. Y. Patil Vidyapeeth (Deemed-to-be-University) Pune Maharashtra India.
Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.
View Article and Find Full Text PDFThe Therapist Translator: Reflections on Working With Countertransference in the Therapeutic Relationship.
Psychoanal Rev
December 2024
6601 West College Drive, Palos Heights, IL 60463, E-mail:
While developments within psychoanalytic thought have expanded our understanding of the phenomenon of countertransference and its meaning, clinicians are often left with a sense that negative countertransference is a sign of a therapist's own "unfinished business." Within the context of clinical supervision, the model of putting countertransference reactions through The Therapist Translator is introduced as a means of exploring how to best give voice to and make use of the emotional responses that arise from within the intersubjective analytic field. In this article, the authors introduce a group process dynamic that utilizes the free association of multiple clinicians to assist in "translating" relatively unformulated material into conscious, linguistic information that can be incorporated into the treatment.
View Article and Find Full Text PDFTowards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges.
Int J Med Inform
December 2024
Neurosurgery Department, Hamad General Hospital, Qatar; Department of Clinical Academic Sciences, College of Medicine, Qatar University, Doha, Qatar; Department of Neurological Sciences, Weill Cornell Medicine, Doha, Qatar.
Introduction: Artificial Intelligence is in the phase of health care, with transformative innovations in diagnostics, personalized treatment, and operational efficiency. While having potential, critical challenges are apparent in areas of safety, trust, security, and ethical governance. The development of these challenges is important for promoting the responsible adoption of AI technologies into healthcare systems.
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