Medical imaging is a multidisciplinary specialty, combining clinical expertise from medical physics, radiography, and radiology, and plays a key role in patient care. Research is vital to ensure the care delivered to patients is evidence-based, and is a core component of clinical governance; however, there are pressures on the imaging workforce, which are significantly impeding imaging research. This commentary presents a research gap analysis pertaining to the multidisciplinary imaging workforce on behalf of the National Institute for Health Research (NIHR) Imaging Workforce Group. Data were summarised from membership surveys of the Royal College of Radiologists, Society and College of Radiographers, and Institute of Physics and Engineering in Medicine; national reports; and feedback from NIHR Clinical Research Network Imaging Champions meeting in 2020/2021. Common barriers to delivering research were found across the multidisciplinary workforce. The key issues were lack of staff, lack of time, and lack of funding to backfill clinical services. Given the ongoing workforce shortages and increasing clinical demands on radiologists, diagnostic radiographers, and medical physicists, these issues must be tackled with a high priority to ensure the future of clinical research within the NHS.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.crad.2022.07.015 | DOI Listing |
Future Cardiol
January 2025
Division of Cardiac Surgery, University of Toronto, Toronto, ON, Canada.
Reaching competency in congenital heart surgery (CHS) requires lengthy and rigorous training. Due to patient safety, time limitations, and procedural complexity, the intraoperative setting is not ideal for technical practice. Surgical simulation using synthetic, biological, or virtual models is an increasingly valuable educational tool for technical training and assessment.
View Article and Find Full Text PDFTech Innov Patient Support Radiat Oncol
March 2025
Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.
This study investigates whether an Image-Guided Radiation Therapy (IGRT) workbook and Cone Beam Computed Tomography (CBCT) case studies enhances Radiation Therapists' (RTTs) confidence analysing Proton Beam Therapy (PBT) CBCTs. An 11-participant questionnaire-based study was conducted to assess pre- and post-training confidence. Prior to training, RTTs exhibited higher confidence in photon CBCT decision-making over proton CBCT, highlighting the need for PBT-specific IGRT training, irrespective of prior photon experience.
View Article and Find Full Text PDFJ Soc Cardiovasc Angiogr Interv
December 2024
Cordis, Miami Lakes, Florida.
J Med Radiat Sci
January 2025
Olivia Newton-John Cancer Wellness and Research Centre, Heidelberg, Australia.
Introduction: The COVID-19 pandemic has had a significant and ongoing impact on health care, particularly for medical radiation science (MRS) professionals. There exist many studies that describe the negative effects of clinical placement restrictions and access to universities on the well-being of all health professional students during the pandemic. There also exists evidence of changes to MRS student teaching and impacts to students and academic clinical educators; however, there exists a paucity of research that investigates how changes have affected the performance of students within the clinical environment and entering the workforce.
View Article and Find Full Text PDFJ Am Coll Radiol
January 2025
University of California, Davis, Sacramento, CA.
Purpose: Surveys to assess views about artificial intelligence (AI) of various diagnostic radiology constituencies have revealed interesting combinations of enthusiasm, caution, and implementation priorities. We surveyed academic radiology leaders about their views on AI and how they intend to approach AI implementation in their departments.
Materials And Methods: We conducted a web survey of Society of Chairs of Academic Radiology Departments (SCARD) members between October 5 and October 31, 2023 to solicit optimism or pessimism about AI, target use cases, planned implementation, and perceptions of their workforce.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!