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Introduction: Workplace violence (WPV) is a significant concern in healthcare settings and indicates the need for accurate reporting to plan and implement effective interventions. This article presents the results of a quality improvement (QI) initiative implemented at a large academic health sciences center to improve the reporting of WPV events.
Methods: The Plan-Do-Study-Act (PDSA) model was adopted to optimize the electronic reporting process, reduce inaccuracies of WPV reporting, and ensure appropriate follow-up from leadership and the Workplace Health, Safety, and Wellness (WHSW) team.
Value Propositions for Digital Shared Medication Plans to Boost Patient-Health Care Professional Partnerships: Co-Design Study.
J Particip Med
January 2025
Department of Ambulatory Care, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Background: Health authorities worldwide have invested in digital technologies to establish robust information exchange systems for improving the safety and efficiency of medication management. Nevertheless, inaccurate medication lists and information gaps are common, particularly during care transitions, leading to avoidable harm, inefficiencies, and increased costs. Besides fragmented health care processes, the inconsistent incorporation of patient-driven changes contributes to these problems.
View Article and Find Full Text PDFAssessing the performance of AI chatbots in answering patients' common questions about low back pain.
Ann Rheum Dis
January 2025
Masters and Doctoral Programs in Physical Therapy, Universidade Cidade de Sao Paulo, Sao Paulo, Brazil; Discipline of Physiotherapy, Graduate School of Health, Faculty of Health, University of Technology, Sydney, New South Wales, Australia.
Objectives: The aim of this study was to assess the accuracy and readability of the answers generated by large language model (LLM)-chatbots to common patient questions about low back pain (LBP).
Methods: This cross-sectional study analysed responses to 30 LBP-related questions, covering self-management, risk factors and treatment. The questions were developed by experienced clinicians and researchers and were piloted with a group of consumer representatives with lived experience of LBP.
Research of Orthodontic Soft Tissue Profile Prediction Based on Conditional Generative Adversarial Networks.
J Dent
January 2025
Department of Orthodontics, School of Stomatology, Capital Medical University, Beijing 100050, China. Electronic address:
Objective: This study constructed a new conditional generative adversarial network (CGAN) model to predict changes in lateral appearance following orthodontic treatment.
Methods: Lateral cephalometric radiographs of adult patients were obtained before (T1) and after (T2) orthodontic treatment. The expanded dataset was divided into training, validation, and test sets by random sampling in a ratio of 8:1:1.
Comparison between the fluid-structure interaction approach and the finite element method approach to analyze the leaflet flutter in bioprosthetic aortic valve.
J Biomech
January 2025
Universidade Federal de São João Del-Rei, Praça Frei Orlando, 170, São João Del Rei, Minas Gerais, Brazil. Electronic address:
The low durability of bioprosthetic heart valves (BHV), between 10-15 years, is associated with the development of leaflets flutter. Despite increasing calcification and structural damage of the BHV, leaflets flutter is an understudied condition. Therefore, the objective of this study is compare the oscillation characteristics of BHV leaflets obtained by the finite element method (FEM) technique and by the fluid-structural interaction (FSI) technique.
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