Despite some technical limitations, it is possible to give students a wide range of experiences related to pre- and postmortem care using high-fidelity simulation in a clinical skills lab. Simulations incorporating role play provide important opportunities for students to explore their own ideas about death and caring for patients who are dying. This article reports on the experience of caring for a simulated patient who dies during the scenario and interacting with a family member represented by a standardized actor. Selected educational models are described that provide guidance in developing evidence-based and patient-centered care simulations. A specific, author-developed conceptual model is used to guide development of specific learning activities; the "Silver Hour" represents the 30 minutes prior to the death and immediately following the death. Care of the imminently dying patient, in any setting, can be conceptualized using this model. Specifically, the model encourages students to explore care for the patient as treatment is withdrawn and death is pronounced and to focus on care for families in managing transitions before and after death.
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Sci Rep
January 2025
Division of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, 03760, Republic of Korea.
This contribution details a new high-fidelity finite element analysis (FEA) methodology for the investigation of the effect of the graft size on the pressure distribution developing at the calcaneocuboid joint after the Evans osteotomy procedure. The FEA model includes all 28 bones of the foot up to the distal end of fibula and tibia as well as soft tissues, tendons, and muscles. The developed FEA model was validated by comparing the in-vivo pressure distribution on the foot plantar with the in-silico results, resulting in a low deviation equal to 7.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Centre de Simulation LabForSIMS, Département de Recherche et Innovation Pédagogique en Santé, Faculté de Médecine, Université Paris Saclay, Le Kremlin-Bicêtre, 94275, France.
Background: The use of an observer tool (OT) has been shown to improve learning of technical skills through observation in simulation. The objective was to assess the impact of a non-technical OT on anaesthesia residents' learning of non-technical skills (NTS) during simulation.
Methods: After consent, residents were randomised into 2 groups: OT+ (with an OT based on NTS to be systematically completed during observation of others) and OT- (without OT).
J Vet Emerg Crit Care (San Antonio)
January 2025
Center for Interdisciplinary Statistical Education and Research, Washington State University, Pullman, Washington, USA.
Objective: To evaluate the effect of rescuer team size on objective skill measures of basic life support (BLS) and advanced life support (ALS) using high-fidelity canine CPR simulation.
Design: Prospective, experimental study.
Setting: Veterinary clinical simulation center.
Cureus
January 2025
Otolaryngology-Head and Neck Surgery, College of Medicine, King Saud University, Riyadh, SAU.
The rapid evolution of generative artificial intelligence (AI) has introduced transformative technologies across various domains, with text-to-video (T2V) generation models emerging as transformative innovations in the field. This narrative review explores the potential of T2V AI generation models used in healthcare, focusing on their applications, challenges, and future directions. Advanced T2V platforms, such as Sora Turbo (OpenAI, Inc.
View Article and Find Full Text PDFSpatially resolved transcriptomics (SRT) provides an invaluable avenue for examining cell-cell interactions within native tissue environments. The development and evaluation of analytical tools for SRT data necessitate tools for generating synthetic datasets with known ground truth of cell-cell interaction induced features. To address this gap, we introduce sCCIgen, a novel real-data-based simulator tailored to generate high-fidelity SRT data with a focus on cell-cell interactions.
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