Objective: To describe the construction of the scenarios and the development of the realistic simulation technique in health on safe administration of drugs for nursing professionals.
Method: Report of experience developed from October 2017 to May 2018 involving the steps of training of the facilitators, construction of the scenarios, development of the realistic simulation with nursing staff of a teaching hospital in the southern region of Brazil. The best simulation practice guidelines used from the International Nursing Association for Clinical Simulation and Learning.
Results: Four practice-based scenarios were constructed based on adverse events. The nurses educators trained the facilitators participating in all stages. There was concern about the fidelity of the scenarios, as well as the execution of the briefing and debriefing stages.
Conclusions: The simulation allowed the reflection of the "way of doing" of the teams adjusting the process of preparation and administration of medicines to the institutional recommendations and, thus, promoting the safety of the process.
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http://dx.doi.org/10.1590/1983-1447.2019.20180175 | DOI Listing |
Math Biosci
December 2024
School of Mathematics and Statistics, University of Melbourne, Melbourne, Australia. Electronic address:
A model using the rigid body multi-cellular framework (RBMCF) is implemented to investigate the mechanisms of buckling of an epithelial monolayer. Specifically, the deformation of a monolayer of epithelial cells which are attached to a basement membrane and the surrounding stromal tissue. The epithelial monolayer , supporting basement membrane and stromal tissue are modelled using two separate vertex dynamics models (one for the epithelial monolayer layer and one for the basement membrane and stromal tissue combined) and interactions between the two are considered using the RBMCF to ensure biologically realistic interactions.
View Article and Find Full Text PDFJ Mech Behav Biomed Mater
December 2024
Aix Marseille Université, Université Gustave Eiffel, LBA, Marseille, France. Electronic address:
This study proposes a method for assessing the transverse toughness of human long-bone cortical tissue. The method is based on a three-point bending test of pre-notched femur diaphysis segments, post-processed using the compliance method coupled with numerical simulations. Given the cracking nature of bone and if cracking processes remain confined to the crack tip, it is assumed that the compliance method can be used.
View Article and Find Full Text PDFComput Biol Med
December 2024
Department of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, Chennai, 600036, Tamil Nadu, India. Electronic address:
Background And Objective: Cerebral aneurysms occur as balloon-like outpouchings in an artery, which commonly develop at the weak curved regions and bifurcations. When aneurysms are detected, understanding the risk of rupture is of immense clinical value for better patient management. Towards this, Fluid-Structure Interaction (FSI) studies can improve our understanding of the mechanics behind aneurysm initiation, progression, and rupture.
View Article and Find Full Text PDFPLoS One
December 2024
Department of General Surgery, Cancer center, Division of Hepatobiliary and Pancreatic Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang Province, China.
Complex liver cancer is often difficult to expose or dissect, and the surgery is often challenging. 3D-printed models may realistically present 3D anatomical structure, which has certain value in planning and training of liver surgery. However, the existing 3D-printed models are all monolithic models, which are difficult to reuse and limited in clinical application.
View Article and Find Full Text PDFTomography
November 2024
KYAMOS Ltd., 37 Polyneikis Street, Strovolos, Nicosia 2047, Cyprus.
: Accurate reconstruction of internal temperature fields from surface temperature data is critical for applications such as non-invasive thermal imaging, particularly in scenarios involving small temperature gradients, like those in the human body. : In this study, we employed 3D convolutional neural networks (CNNs) to predict internal temperature fields. The network's performance was evaluated under both ideal and non-ideal conditions, incorporating noise and background temperature variations.
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