Increased performance demands have interacted with suboptimal use of technology and contributed to burnout among radiologists. Although the problem of radiologist burnout has been well documented, there is a gap in the literature in terms of how technology can be better utilized to lessen the problem. Informatics-based modifications to existing technology hold the potential to reduce the amount of time radiologists spend on noninterpretive tasks, decrease interruptions, facilitate connections with colleagues, and improve patient care. Examples of successful modifications to technology are presented and discussed in relation to how they contribute to improving workplace engagement among radiologists.
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http://dx.doi.org/10.1016/j.clinimag.2019.10.014 | DOI Listing |
The U.S. radiologist workforce has experienced periods of growth as well as stagnation and downturns, with concerns of radiologist oversupply during tight job markets followed by perceived workforce shortages.
View Article and Find Full Text PDFCurr Probl Diagn Radiol
November 2024
Department of Radiology and Radiological Sciences, VUMC Educator Development Program, 1161 21st Ave South, CCC-1118 MCN, Nashville, TN 37232, USA.
This manuscript illuminates the need for childcare support for trainees and faculty in the field of radiology, highlighting the essential need for access, affordability, and high-quality childcare services. For over four decades, women radiologists have voiced the challenges of meeting both childcare and professional responsibilities. The COVID-19 pandemic highlighted systemic inadequacies in the childcare infrastructure, exacerbating the challenges of this long-standing balancing act.
View Article and Find Full Text PDFJAMA Netw Open
November 2024
Department of Radiology, Mayo Clinic, Jacksonville, Florida.
JAMA Netw Open
November 2024
Radiology Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
Importance: Understanding the association of artificial intelligence (AI) with physician burnout is crucial for fostering a collaborative interactive environment between physicians and AI.
Objective: To estimate the association between AI use in radiology and radiologist burnout.
Design, Setting, And Participants: This cross-sectional study conducted a questionnaire survey between May and October 2023, using the national quality control system of radiology in China.
Eur Radiol
November 2024
School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China.
Objectives: To assess the correlation between the use of artificial intelligence (AI) software and burnout in the radiology departments of hospitals in China.
Methods: This study employed a cross-sectional research design. From February to July 2024, an online survey was conducted among radiologists and technicians at 68 public hospitals in China.
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