Access to radiology reports and images through a patient portal offers several advantages. The purpose of this study was to characterize patient's interactions with their radiology results. This was a retrospective study that evaluated radiography, ultrasound, computed tomography, magnetic resonance imaging, and positron emission tomography, exams performed between July 2020 and June 2021 for patients aged 12 and older. Exam information, access logs of radiology reports and images, and patient demographics were obtained from the electronic health record and image viewing software. Descriptive statistics were computed. The study included 1,685,239 exams. A total of 54.1% of reports were viewed. MRI and PET reports were viewed with the greatest frequency (70.2% and 67.6%, respectively); 25.5% of exam images were viewed, with the greatest frequency for MRI (40.1%). Exams were shared a total of 17,095 times and downloaded 8409 times; 64% of reports were viewed for patients aged 18-39 and 34% for patients aged 80 and greater. The rate of reports viewed was greater for patients with English as their preferred language (57.1%) compared to other languages (33.3%). Among those viewed, 56.5% of reports and 48.2% of images were viewed multiple times; 72.8% of images were viewed on smartphones, 25.8% on desktop computers, and 1.4% on tablets. Patients utilize a portal to view reports and view and share images. Continued efforts are warranted to promote the use of portals and create patient-friendly imaging results to help empower patients.
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http://dx.doi.org/10.1007/s10278-024-00996-0 | DOI Listing |
Ethiop J Health Sci
October 2024
Department of Public Health, School of Public Health, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Background: St. Paul's Hospital Millennium Medical College (SPHMMC) has offered radiology specialty training for a decade. To mark its 10th anniversary and assess the program's status, this study aimed to gather stakeholders' perspectives on its functioning.
View Article and Find Full Text PDFAcad Radiol
December 2024
Duke University Medical Center, Duke University Health System, Department of Radiology, 2301 Erwin Road, Box 3808, Durham, NC 27710 (N.T.B.). Electronic address:
Rationale And Objectives: To evaluate patient use of plain language radiology report content.
Methods: Webpage-style radiology reports delivering patient-centered content were made available to patients via an online patient portal. Simple language explanations of terms and phrases in the reports were accessible to patients via a clickable hyperlink.
Vision Res
December 2024
Interdisciplinary Neuroscience Program, Bilkent University, Ankara, Turkey; Department of Interior Architecture and Environmental Design, Bilkent University, Ankara, Turkey; Aysel Sabuncu Brain Research Center and National Magnetic Resonance Imaging Center, Bilkent University, Ankara, Turkey. Electronic address:
The study of scene perception is crucial to the understanding of how one interprets and interacts with their environment, and how the environment impacts various cognitive functions. The literature so far has mainly focused on the impact of low-level and categorical properties of scenes and how they are represented in the scene-selective regions in the brain, PPA, RSC, and OPA. However, higher-level scene perception and the impact of behavioral goals is a developing research area.
View Article and Find Full Text PDFComput Methods Programs Biomed
December 2024
Department of Information and Communication Engineering, North University of China, Taiyuan 030051, China; The State Key Lab for Electronic Testing Technology, North University of China, Taiyuan 030051, China. Electronic address:
Background And Objective: Sparse-view computed tomography (CT) speeds up scanning and reduces radiation exposure in medical diagnosis. However, when the projection views are severely under-sampled, deep learning-based reconstruction methods often suffer from over-smoothing of the reconstructed images due to the lack of high-frequency information. To address this issue, we introduce frequency domain information into the popular projection-image domain reconstruction, proposing a Tri-Domain sparse-view CT reconstruction model based on Sparse Transformer (TD-STrans).
View Article and Find Full Text PDFBody Image
December 2024
Department of Nutritional Sciences, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, ON M5S 1A8, Canada. Electronic address:
Highly visual and appearance-focused social media often exhibit appearance ideals that center around fairness and whiteness, resulting in the promotion of dangerous over-the-counter skin-lightening products to consumers to achieve such ideals. Our study aims to better understand the skin-lightening claims and products that TikTok users are exposed to on the platform. We conducted a cross-sectional content analysis to examine the top 100 most-viewed videos across the most popular skin-lightening hashtag (#skinlightening) through the TikTok website interface (N = 79) and generated descriptive statistics.
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