The implementation of advanced practice in RT requires evidence regarding the clinical practices of radiation therapists (RTT) in the field. In this context, the goal of this article is to report the roles assigned to RTT in order to meet the demands of patients, RT services, and/or healthcare professionals. As part of the French Society of Oncologic Radiotherapy's congress, the Radiotherapy Committee of the French Association of radiographers presented a scientific program encompassing three main themes: patient follow-up by a RTT, the expertise of an RTT in Image Guided Radiation Therapy (IGRT), Adaptive Radiotherapy (ART), and the involvement of a RTT in research. This article presents an overview of five oral presentations that highlight concrete examples of roles assigned to RTTs in these specific domains. The follow-up of patients has been assigned to RTT. Research and development have been recognized as activities in which RTT play a significant role. The establishment of RTT specializing in IGRT has been reported to facilitate decision-making and is essential in ensuring professional expertise. Lastly, there is a need to enhance RTT skills in adaptive RT to support the implementation of this technique. These roles described as advanced practice meet needs and require a specific organisational framework and appropriate education and training (master type). Activities such as post-RT follow-up, validation of positioning imaging, delineation, writing research protocols, and involvement in the development of technological innovations were identified as essential tasks that can be assigned to RTT.
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http://dx.doi.org/10.1016/j.canrad.2023.06.014 | DOI Listing |
JMIR Res Protoc
January 2025
Data and Web Science Group, School of Business Informatics and Mathematics, University of Manneim, Mannheim, Germany.
Background: The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These models are increasingly integrated into various applications, including mental health support. However, the credibility of LLMs in providing reliable and explainable mental health information and support remains underexplored.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Division of Services and Interventions Research, National Institute of Mental Health, Bethesda, MD, United States.
Background: Although substantial progress has been made in establishing evidence-based psychosocial clinical interventions and implementation strategies for mental health, translating research into practice-particularly in more accessible, community settings-has been slow.
Objective: This protocol outlines the renewal of the National Institute of Mental Health-funded University of Washington Advanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness Center, which draws from human-centered design (HCD) and implementation science to improve clinical interventions and implementation strategies. The Center's second round of funding (2023-2028) focuses on using the Discover, Design and Build, and Test (DDBT) framework to address 3 priority clinical intervention and implementation strategy mechanisms (ie, usability, engagement, and appropriateness), which we identified as challenges to implementation and scalability during the first iteration of the center.
J Med Chem
January 2025
Department of Chemistry, Faculty of the Exact Sciences, Bar-Ilan University, Ramat-Gan, 5290002, Israel.
Data collected from scholars across twenty-three countries over the past decade (2010-2019) reveals a 40% decrease in financial support for medicinal chemistry projects. The decline is especially notable among projects focused on small organic molecules. This drop in grants indicates a troubling trend that could jeopardize future drug development by undermining research in this crucial field.
View Article and Find Full Text PDFThe aim of the Research to Practice column is to enhance the research critique abilities of both advanced practice registered nurses and emergency nurses, while also aiding in the translation of research findings into clinical practice. Each column focuses on a specific topic and research study. In this article, we used a scenario of chronic pain exacerbation to explore the study by Eucker et al.
View Article and Find Full Text PDFJ Bone Joint Surg Am
January 2025
Department of Orthopaedic Surgery, Stanford University, Redwood City, California.
Background: The accurate inclusion of patient comorbidities ensures appropriate risk adjustment in clinical or health services research and payment models. Orthopaedic studies often use only the comorbidities included at the index inpatient admission when quantifying patient risk. The goal of this study was to assess improvements in capture rates and in model fit and discriminatory power when using additional data and best practices for comorbidity capture.
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