As hospital length of stay decreases and care shifts to the community, there is a need to develop approaches to ensure uniformity and continuity of care in patient groups. Care maps, multidisciplinary standards that outline the processes of care and expected outcomes within predetermined timeframes, can support a continuum of care from preadmission through hospital stay to discharge from community-based home care by clearly delineating standards across the entire episode of care. However, the development of successful care maps requires extensive collaboration, planning and evaluation.
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Front Med (Lausanne)
January 2025
Department of Neurology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Introduction: Podocytopathies are a uniquely renal disease syndrome, in which direct or indirect podocyte injury leads to proteinuria or nephrotic syndrome. Of the many factors that contribute to podocytopathies, the abnormal regulation of autophagy, such insufficient or excessive autophagy levels, have been proposed to play a significant role in the occurrence and development of podocytopathies. However, there still has been a lack of systematic and comparative research to elucidate exact role of autophagy in podocytopathies and its current research status.
View Article and Find Full Text PDFMed Biol Eng Comput
January 2025
Faculty of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel.
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection of metastatic tumors and response to therapy assessment due to its high sensitivity compared to anatomical imaging modalities. The balance between image quality and radiation exposure is critical, as reducing the administered dose results in a lower signal-to-noise ratio (SNR) and information loss, which may significantly affect clinical diagnosis. Deep learning (DL) algorithms have recently made significant progress in low-dose (LD) PET reconstruction.
View Article and Find Full Text PDFJ Multidiscip Healthc
January 2025
Department of Computer Engineering, Afyon Kocatepe University, Faculty of Engineering, Afyonkarahisar, Turkey.
Background: The integration of large language models (LLMs) in healthcare has generated significant interest due to their potential to improve diagnostic accuracy, personalization of treatment, and patient care efficiency.
Objective: This study aims to conduct a comprehensive bibliometric analysis to identify current research trends, main themes and future directions regarding applications in the healthcare sector.
Methods: A systematic scan of publications until 08.
BMC Health Serv Res
January 2025
Department of Health Services Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
Background: The provision of healthcare is complex. When evidence-practice gaps are identified, interventions to improve practice across multi-level systems are required. These interventions often consist of multiple interacting components and behaviours.
View Article and Find Full Text PDFCommun Med (Lond)
January 2025
School of Medicine and Health, Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Munich, Germany.
Background: The introduction of large language models (LLMs) into clinical practice promises to improve patient education and empowerment, thereby personalizing medical care and broadening access to medical knowledge. Despite the popularity of LLMs, there is a significant gap in systematized information on their use in patient care. Therefore, this systematic review aims to synthesize current applications and limitations of LLMs in patient care.
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