It is not known how often lean tools and implementation determinants frameworks or checklists are used concurrently in health care quality improvement activities. The authors systematically reviewed the literature for studies that used a lean tool along with an implementation science determinants framework (January 1999 through August 2018). Seven studies (8 publications) were identified, inclusive of 2 protocols and 6 research articles across multiple continents. All included studies used the consolidated framework for implementation research as their implementation science determinants framework. Lean tools included in more than 1 publication were process mapping (4 publications), process redesign (3 publications), and 5S standardization (2 publications). Only 1 study proposed using a lean tool concurrently with an implementation science determinants framework in the design and execution of the QI project. Few published studies utilize both an implementation science determinants framework or checklist and 1 or more lean tool in their study design.
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http://dx.doi.org/10.1177/1062860619879746 | DOI Listing |
J Imaging Inform Med
January 2025
Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland.
Analysis of the symmetry of the brain hemispheres at the level of individual structures and dominant tissue features has been the subject of research for many years in the context of improving the effectiveness of imaging methods for the diagnosis of brain tumor, stroke, and Alzheimer's disease, among others. One useful approach is to reliably determine the midline of the brain, which allows comparative analysis of the hemispheres and uncovers information on symmetry/asymmetry in the relevant planes of, for example, CT scans. Therefore, an effective method that is robust to various geometric deformations, artifacts, varying noise characteristics, and natural anatomical variability is sought.
View Article and Find Full Text PDFMed Phys
January 2025
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Background: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in such treatments.
Purpose: This study seeks to address this gap by developing a DL model for independent MC dose (MCDose) prediction, aiming to facilitate OART and rapid QA implementation for HIT.
Nat Mater
January 2025
Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
Machine learning algorithms have proven to be effective for essential quantum computation tasks such as quantum error correction and quantum control. Efficient hardware implementation of these algorithms at cryogenic temperatures is essential. Here we utilize magnetic topological insulators as memristors (termed magnetic topological memristors) and introduce a cryogenic in-memory computing scheme based on the coexistence of a chiral edge state and a topological surface state.
View Article and Find Full Text PDFSci Rep
January 2025
Emergency Department, The State Key Laboratory for Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Variation in the incidence, survival rate and factors associated with survival after cardiac arrest in China is reported. Some studies have tried to fill the knowledge gap regarding the epidemiology of cardiac arrest in China but were unable to identify reasons for the reported differences. Therefore, the purpose of this study was to describe Chinese management of cardiac arrest, particularly from the perspective of compression, ventilation, monitoring, treatment, and extracorporeal cardiopulmonary resuscitation.
View Article and Find Full Text PDFSurg Endosc
January 2025
Clinica Chirurgica, Department of Experimental and Clinical Medicine, Section of Surgical Sciences, Polytechnic University of Marche, Ancona, Italy.
Introduction: Altered vascular microcirculation is recognized as a risk factor for anastomotic leakage (AL) in colorectal surgery. However, few studies evaluated its impact on AL using different devices, with heterogeneous results. The present study reported the initial experience measuring gut microcirculatory density and flow with the aid of incidence dark-field (IDF) videomicroscopy (Cytocam, Braedius, Amsterdam, The Netherlands) comparing its operative outcome using a propensity score matching (PSM) model based on age, gender, and Charlson Comorbidity Index (CCI).
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