Franklin, Tennessee-based Touchstone Medical Imaging has agreed to pay the Office for Civil Rights (OCR) $3 million to settle a 2014 security breach that exposed the protected health information (PHI) of more than 300,000 patients.
The University of Toronto’s Department of Medical Imaging has signed an agreement with International Medical Solutions (IMS) to use its IMS Web Viewer solution for assessing the performance of diagnostic radiology residents.
Radiologists and referring physicians prefer it when multipart CT scans are read by a single specialist instead of numerous subspecialists, according to new research published in the Journal of the American College of Radiology.
The high sensitivity associated with breast MRI makes it an effective tool for detecting breast cancer, but the costs and long acquisition times have kept it from being embraced as a supplemental screening option.
Patient portals have been associated with numerous benefits, but there are challenges to consider as well, according to a new analysis published in the Journal of the American College of Radiology. What can be done to address these challenges?
Allowing patients to communicate directly with radiologists through an online portal helps them stay informed and feel more engaged, according to a case study published in the Journal of the American College of Radiology.
Clinical decision support (CDS) systems can play a role in reducing unnecessary imaging orders, according to a study published in PLOS ONE. However, the authors noted, the reduction may be relatively modest.
Who wouldn’t want greater consistency in radiology reports’ substance, style and actionability to referring clinicians? And yet a substantial number of radiologists have intently avoided, quietly thwarted or tacitly rejected structured reporting. They can only hold out so long.
Using computer-aided detection (CAD) software powered by artificial intelligence leads to fewer false-positive mammograms, according to new findings published by the Journal of Digital Imaging. Significant cost savings could also be realized by making such a switch.
Artificial intelligence and machine learning technologies could fundamentally change healthcare forever, both for providers and their patients. A new analysis published in the New England Journal of Medicine examined that potential shift in great detail.