News | April 05, 2010

Patient Access to Imaging Exams Could Increase Anxiety

April 5, 2010 - Physicians express concern that patient access to medical imaging exams could lead to increased patient anxiety and unrealistic demands on physician time, reported a study published in the April issue of the Journal of the American College of Radiology.

Although the study also found patients with direct access to their imaging test results could improve patient satisfaction and clinical outcomes, patients, who may not fully comprehend the report's content, would experience increased anxiety without a physician to explaining the results and implications. They also thought that referring physicians and radiologists might experience an increased number of telephone calls from patients for clarification of report contents.

Eight radiologists and seven referring physicians participated in the study conducted at the Wake Forest University School of Medicine in Winston-Salem, N.C. Researchers looked at the possibility of radiologists using the Internet to communicate rapid online imaging results directly to patients.

For more information: www.arrs.org

Related Content

Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer
News | Artificial Intelligence | April 18, 2019
University of California Los Angeles (UCLA) researchers have developed a new artificial intelligence (AI) system to...
Videos | Breast Imaging | April 18, 2019
In a keynote lecture at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium, ...
Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer

Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer. Permission to publish provided by DenseBreast-info.org

Feature | Breast Imaging | April 18, 2019 | By Greg Freiherr
When planning a screening program to detect the early signs of breast cancer, age is a major consideration.
compressed breast during mammography.
360 Photos | 360 View Photos | April 16, 2019
A 360 view of a simulated breast compression for a...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.
iCAD Highlighting ProFound AI for Tomosynthesis at 2019 SBI Annual Symposium
News | Computer-Aided Detection Software | April 04, 2019
iCAD announced it will present its latest artificial intelligence (AI) software solution for digital breast...
Ikonopedia Introduces Automated Combined Reporting Package at SBI
News | Mammography Reporting Software | April 04, 2019
Ikonopedia will introduce its new Automated Combined Reporting package at the 2019 Society of Breast Imaging/American...
Konica Minolta Highlights New Exa Mammo Features at SBI/ACR Breast Imaging Symposium
News | Breast Imaging | April 03, 2019
Konica Minolta Healthcare Americas Inc. will highlight new features of Exa Mammo, a picture archiving and communication...